determining the degree of aggregate degradation after ... · determining the degree of aggregate...
TRANSCRIPT
Report No. CDOT-DTD-96-11
DETERMINING the DEGREE of AGGREGATE
DEGRADATION After Using the NCAT ASPHALT
CONTENT TESTER.
Randolph Reyes
Colorado Department of Transportation 4201 East Arkansas Avenue Denver, Colorado 80222
Final Report August 1997
Prepared in cooperation with the U.S. Department of Transportation Federal Highway Administration
The contents of this report reflect the views of the author who is responsible
for the facts and the accuracy of the data presented herein. The contents do
not necessarily reflect the official views of the Colorado Department ·of
Transportation or the Federal Highway Administration. This report does not
constitute a standard, specification, or regulation.
The author would like to express his gratitude to the COOT Research Panel
which provided many excellent comments and suggestions for this study; it
included Donna Harmelink (COOT Research), Robert LaForce (COOT Flexible
Pavement), Tim Aschenbrener (COOT Staff Materials), Ken Wood (COOT
Region 4 Materials), Cindy Price (Region 1 Materials), R.J. Hinojosa (Region 6
Materials), Chuck McGarvey (Region 2 Materials), Charlie MacKean (COOT
Staff Materials) and Paul Macklin (COOT Geotechnical Section).
II
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1. AGENCY USE ONLY (Leave Blank) 2. REPORT DATE 3. REPORT TYPE AND DATES COVERED
August 1997 Final Report
4. TITLE MiD SUBTITLE 5. FUNDING NUMBERS
Determining the Degree of Aggregate Degradation After Using the NCAT Asphalt Content Tester
6. AUTHORS(S)
Randolph Reyes
7. PERFORMING ORGA:'lIZATION NAME(S) AND ADDRESS(S) 8. PERFORMING ORGANIZATION
Colorado Department of Transportation REPORT NUMBER
4201 E. Arkansas Ave. CDOT -DTD-R-96-11
Denver, Colorado 80222
9. SPONSORINGIMONITORING AGENCY NAME(S) AND ADDRESS(S) 10. SPONSORINGIMONITORING
Colorado Department of Transportation AGENCY REPORT NUMBER
4201 E. Arkansas Ave.
Denver, Colorado 80222
11. SUPPLEMENTARY NOTES
Prepared in Cooperation with the U. S. Department of Transportation, Federal
Highway Administration
12a. DIS1RIBUTION/AVAILABILITY STATEMENT 12b. DISTRIBUTION CODE
No Restrictions: This report is available to the public through the N~tion::ll Technical Information Service. ['. ·4'.:~lrl VA 22161
13. ABSTRACT (Maximum 200 words)
The purpose of the research conducted was to determine if aggregate degradation takes place and to measure the possible degree of degradation after bituminous mixtures are heated inside the NCAT Asphalt
Content Tester. A study was conducted which compared the orginal aggregate blend (Control specimens) to the residual aggregate blend (Experimental specimens) obtained after several bituminous mixtures were heated inside the NCAT Asphalt Content Tester. The Control specimens and the Experimental specimens used to produce the bituminous mixtures were the result of an aggregate sample which was split three times. Two methods of analysis were used to review the gradation results. It was determined after reviewing both methods of analysis, that the gradations of the bituminous mixtures used in the study were not statistically different after being heated inside the NCAT Asphalt Content Tester. The aggregate gradation correction factors that were required in this study were relatively low (less than one percent) and were needed only in a few instances. However, this might not be true in all instances. 14. SUBJECT TERMS 15. NUMBER OF PAGES
ignition oven, aggregate degradation, gradation, degradation, ignition furnace 128
16. PRICE CODE
17. SECURITY CLASSIFICATION 18. SECURITY CLASSIFICATION 19. SECURITY CLASSIFICATION 20. LIMITATION OF ABSTRACT
OF REPORT OF THIS PAGE OF ABSTRACT
Unclassified Unclassified .. Unclassified III
TABLE OF CONTENTS
1.0 INTRODUCTION ........................................ 1
1.1 Background .... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
2.0 PURPOSE .............................................. 3
3.0 APPARATUS ........................................... 4
3.1 NCAT Asphalt Content Tester . . . . . . . . . . . . . . . . . . . . . . . . . . .. 4
3.2 Basket Assemblies ............•....................... 4
3.3 Asphalt Mixer and Mixer Bowl . . . . . . . . . . . . . . . . . . . . . . . . . . •. 5
3.4 External Scale ........................................ 5
3.5 No. - 200 Wash Sieve Screen . . . . . • . . . . . . . . . . . . . . . . . . . . . .. 5
3.6 Set of Nine 203.2 mm (S inch) Diameter Sieves. . . . . . . . . . • . . .. 5
3.7 Set of Three 304.Smm (12 inch) Diameter Sieves ............. 5
3.S Riffle Sample Splitter . . . . . . . . . . . • . . . . . . . . . . . . . . . . . . . . . •. 6
3.9 Miscellaneous Equipment .•.••.....•.••............•.••. 6
4.0 PROCEDURE ........................................... 7
4.1 Sources of Aggregate ..........•..........•..........•. 7
4.2 Aggregate Set Up ..................................... 9
4.3 Separating and Splitting Aggregate . . . . . . . . . . . . . . . . . . . . . . .. 9
IV
4.4 Combining with Hydrated Lime and Water .................. 9
4.5 Treatment of Control Specimens . . . . . . . . . . . . . . . . . . . . . . . .. 10
4.6 Rational for Mixing the Experimental Specimens with AC ..... 10
4.6.1 Treatment of Experimental Specimens .............. 11
4.7 Gradations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
4.8 Methods of Analysis ............................... . .. 12
4.B.1 First Method of Analysis (Comparison of the Mean of
the Experimental and Control Specimens) . . . . . . . . . .. 12
4.B.2 Second Method of Analysis (One-to-One Comparison
between Experimental and Control Specimens) ...... 13
5.0 GRADATION RESULTS AND DiSCUSSiON............... 15
5.1 Analysis Method One (Aggregate Gradation Results)
5.1.1 Mean Differences Between the Control and
Experimental Specimens Illustrated for the
15
Franciscotti Aggregate Source ................... 16
5.1.2 Confidence Interval Figure Displaying the Upper and
Lower Limits for the Franciscotti Aggregate Source 18
5.1.3 Frequency Distribution Illustrating the Mean
Differences for the 9.5 mm (3/B) Sieve Size .......... 20
5.1.4 Frequency Distribution for the 54 Sieve Tests ........ 22
5.1.5 Experimental Specimens that Appeared Coarser after
Using the NCA T Asphalt Content Tester ............ 25
v
5.1.6 Summary of Results Using Analysis Method One. . . . .. 25
5.2 Analysis Method Two- Aggregate Gradation Results ......... 27
5.2.1 AASHTO T 27 Precision (Single Operator) ........... 27
5.2.2 (Experimental - Control) Data Minus AASHTO T 27
(Single Standard Deviation Data) ................. .
5.2.3 Control Data Minus AASHTO T 27 (Single Standard
Deviation Data) ............................... .
5.2.4 (Single Standard Deviation Data, Figure 8) ......... .
5.2.5 Summary of Results Using Analysis Method Two .... .
5.3 Application of Correction Factors .•...•...•.............
5.3.1 Testing for the Possibility of Aggregate Degradation ...
5.4 Aggregate Absorption Values
6.0 CONCLUSION ........................................ .
6.1 Analysis Method One ................................•
6.1.1 Mean Differences Between The Experimental and
34
36
38
40
41
41
43
45
45
Control Specimen Gradations .................... 45
6.1.2 Experimental Specimens that Appeared to be Coarser
after Using the NCA T Asphalt Content Tester . . . . . . .. 45
6.1.3 Possible Reasons for the Variation in Gradation
Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46
6.1.4 Student's t-test ................................ 46
6.1.5 Summary of Analysis Method One ................. 46
VI
6.2 Analysis Method Two (One to One Comparison) . . . . . . . . . . . .. 47
6.2.1 (Experimental - Control) Data Minus AASHTO T 27
Gradation Data (Single Standard Deviation) . . . . . . . . .. 47
6.2.2 Control Data Minus AASHTO T 27 Gradation Data
(Single Standard Deviation) ...................... 47
6.2.3 Figure 8 (Single Standard Deviation) ............... 48
6.3 Absorption Values . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 48
6.4 Summary of Analysis Methods One and Two ............... 49
7 .0 RECOMMENDATION .......... . .. . .................... . 50
8.0 FUTURE RESEARCH ............. . . . ................... 51
9.0 REFERENCES .................. . ...................... 52
VII
LIST OF TABLES
Table 1. Aggregate Source, Absorption, Mineralogy, Specific Gravity and
Location ............................................... 8
Table 2. Number of Gradations Performed per Sieve Size ............. 12
Table 3. Data used to generate Figure 4. ..•....................... 24
Table 4. Precision Statement from AASHTO T 27 . . . . . . . . . . . . . . . . . . .. 29
Table 5. Percent of Aggregate Passing One Sieve and Retained on the
Next Finer Sieve for Each Aggregate Source .................. 31
VIII
List of Figures
Figure 1. Mean Differences Illustrated For Each of the Nine Sieve Sizes
Representing The Franciscotti Aggregate Source . . . . . . . . . . . . . .. 17
Figure 2. Confidence Intervals Representing the Upper and Lower Limits
For The Franciscotti Aggregate Source ............. . ........ 19
Figure 3. Frequency Distribution Displaying The Mean Differences
Representing The 1.18 mm (# 16) Sieve ....... . .............. 21
Figure 4. Frequency Disbibution Of Tbe Mean Differences For 54 Sieve
Tests . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
Figure 5. Summary of the Gradation Results (Mean Differences,
Analysis Method One) . . . . . . . . . . . .. . . . . . . • . . . . . . . . . . . . . . . . 26
Figure 6. (Experimental - Control Data) Minus AASHTO T 27 (Single
Standard Deviation Data) ..•.............•...•............ 35
Figure 7. Control Data Minus AASHTO T 27 (Single Standard Deviation
Data) .................. II • .. .. • • • • .. .. .. .. • • • • .. .. .. .. • • • • • • • • • • .. 37
Figure 8. Difference Between Figure 6 and Figure 7 (Single Standard
Deviation) .. .. ........................ .. ........................................................ .. 39
Figure 9. Absorption Values for Each Aggregate Source . . . . . . . . • . . . .. 44
IX
APPENDIX A:
List of Appendices
ANALYSIS METHOD ONE
1. Mean Difference Figures for Aggregate Sources
2. Data Used to Calculate Mean Differences
APPENDIX B:
1. Confidence Interval Figures for Each Aggregate Source
2. Data Used To Calculate the 95% Confidence Interval Figures
3. Data From the Students t-Test
4. Gradation Results From Each Aggregate Source
APPENDIX C:
1. Frequency Figures for Each Sieve Size
2. Data Used to Calculate Frequency Figures
APPENDIX D: DATA
APPENDIX E: CPL-5120
ANALYSIS METHOD lWO
x
1.0 INTRODUCTION
The United States Environmental Protection Agency (EPA) is phasing out
chlorinated solvents used in the United States. These solvents have been
used in the past to remove the asphalt cement (AC) from bituminous mixtures
allowing aggregate gradations to be performed. The NCAT Asphalt Content
Tester (an ignition oven) has been introduced as an alternative to the solvent
extraction method. It works by removing (physically burning away) the AC
from the bituminous mixture.
Several companies manufacture ignition ovens, including
BarnsteadlThermolyne, Troxler, and Gilson Corporation. The
Barnstead/Thermolyne equipment is known as the National Center for Asphalt
Technology (NCAT) Asphalt Content Tester and was used to generate the data
in this paper. The ignition oven and the NCAT Asphalt Content Tester refer to
the same equipment in this document.
1.1 Background
In June of 1995, the Colorado Department of Transportation purchased and
received six NCAT Asphalt Content Testers manufactured by
Bamstead/Thermolyne Corporation. The Central Laboratory located in
1
Denver, Colorado retained two of the ovens and distributed the remaining four
ovens to different Regions throughout Colorado. One oven in the Central
Laboratory was set up (electrically wired and vented) for use. The NCAT
Asphalt Content Tester was then evaluated concerning its effect on aggregate
gradations from different bituminous mixtures.
2
2.0 PURPOSE
The purpose of this experiment was to detennine if aggregate degradation
occurs in a bituminous mixture when heated inside the NCAT Asphalt Content
Tester. In addition, if aggregate degradation does occur, to quantify the
extent of the degradation.
3
3.0 APPARATUS
3.1 NCAT Asphalt Content Tester--The NCAT Asphalt Content Tester is a
forced-air ignition furnace, with internal balance, capable of maintaining a
temperature of 538 0 C (1000 0 F). The NCAT Asphalt Content Tester consists
of an electronic housing unit, an oven chamber and an exhaust chamber. The
electronic housing unit is located underneath the oven chamber and is
separated by an air space. This area of the unit houses the electronic
controls as well as the internal scale used to monitor weight loss. The oven
chamber is located in the middle of the unit. The oven chamber is heated
electrically using ceramic heating elements. A hearth tray located inside the
oven chamber is supported by ceramic tubes which extend down to the
internal scale. The accuracy of the internal scale balance is verified by
placing calibrated weights on the hearth tray at room temperature. The
exhaust chamber is located above the oven chamber. An exhaust fan and
filters are used to control the smoke and fumes while testing.
3.2 Basket Assemblies--Two stainless steel 2.36mm (No.8) mesh perforated
basket assemblies were nested on top of each other with a drip pan located
on the bottom of the assembly. This configuration allowed the bituminous
mixture increased surface area exposure and facilitated more complete
burning of the AC.
4
3.3 Asphalt Mixer and Mixer Bowl··A HOBART mechanical mixer (Model N50)
with an approximate capacity of 5 liters and capable of mixing approximately
1250 grams of aggregate.
3.4 External Sea/e.·An AND 20 kg capacity scale accurate to 0.1 gram was
used in this experiment.
3.5 No. - 200 Wash Sieve Screen·-A 304.B mm (12 inch) diameter 0.075 mm
(No. 200) sieve was used to wash the minus 0.075mm (No. 200) material from
the Experimental and Control specimens before performing the subsequent
gradation analysis on the remaining aggregate.
3.6 Set of Nine 203.2 mm (8 inch) Diameter Sieves·-A set of sieves having a
203.2 mm (B inch) diameter, with sieve openings conforming to ASTM E-11.
The sieve sizes used were: 12.5 mm, (1/2 inch); 9.5 mm, (31B inch); 4.75 mm,
(No.4); 2.3 mm, (No.B); 1.1B mm, (No.16); 0.625 mm, (No.30); 0.3 mm, (No.50);
0.15 mm, (No.100): and 0.075 mm, (No.200). A ROTAP mechanical sieve
shaker (Model RX-29) was used to separate the aggregate into different
particle sizes.
3.7 Set of Three 304.Bmm (12 ineh) Diameter Sieves--A set of three 304.B mm
(12 inch) diameter sieves with screen sizes of + 9.5 mm (+ 31B inch), + 4.75 mm
5
(+ No.4) and - 4.75 mm (- No.4) were used to separate the aggregate into
three different particle sizes prior to using the riffle sample splitter.
3.8 Riffle Sample Splitter--A sample splitter with 12, 37.5 mm (1 1/2 inch) equal
width chutes was used to split the aggregate. Four chute catch pans were
used.
3.9 Miscellaneous Equipment--A pan having dimensions of approximately (L x
W x H) 38 x 38 x 5 cm was used for containing the residual aggregate after
ignition. A steel wire brush was used to remove residual aggregate from the
steel basket assembly after AC burn off.
6
4.0 PROCEDURE
4. 1 Sources of Aggregate
Six aggregate sources were selected from various geographical areas which
represented some of the varying aggregate types found within Colorado.
7
Table 1. Aggregate Source, Absorption, Mineralogy, Specific Gravity and
Location
AGGREGATE CRSEIFINE MINERALOGY CRSEIFINE LOCATION
SOURCE AGGR AGGR
WATER SPG
% ABSORB (AASHTO)
(AASHTO)
Franciscotti 0.9, N/A Sandstone 2.66, 2.59 Walsen-
Shale burg
Ralston 0.72, 1.03 Quartz 2.77, 2.75 Denver
Diorite
Val co/Rocky 0.9, 0.8 Decomposed 2.62, 2.61 Colo.
Mtn.lCas Granite Springs
Irwin Windsor- 0.8, 0.4 Feldspar 2.61, 2.66 Fort
Stute Collins
Monk 0.8, N/A Granite 2.64, N/A Limon
Pagosa Trout 2.1, 1.7 N/A 2.54, 2.51 Pagosa
Lakes Springs
8
4.2 Aggregate Set Up
Six different (10000 gram) aggregate sources of grading CX, 12.5 mm (1/2
inch) nominal maximum, were set up together using six different aggregate
blend formulas.
4.3 Separating and Splitting Aggregate
In a attempt to reduce segregation, the 10K gram samples were separated into
three different sieve sizes, + 9.5 mm (+ 3\8), + 4.75 mm (+ No.4) and - 2.36 mm
(- No.4) using three 304.8 mm (12 inch) diameter sieves. The three different
sizes of aggregate were split individually three times using a riffle sample
splitter. The aggregate from each of the three sieve sizes were combined
which resulted in eight specimens of approximately 1250 grams each. This
method was used to increase the probability for an even split when the larger
aggregate sizes were dropped through the riffle sample splitter. To further
reduce the margin of error between specimens, the four Control and four
Experimental specimens were collected from alternate sides of the sample
splitter.
4.4 Combining with Hydrated Lime and Water
9
All eight (approximately 1250 gram) aggregate specimens from each of the six
aggregate sources were mixed with one percent hydrated lime and
approximately four percent water, oven dried inside a 121°± 5 C (250° F) oven
for 6 ± 1 hours and then cooled to room temperature. Removing the moisture
was important since aggregates that have high absorption values may retain
moisture which may cause the aggregate to "pop" (break apart changing the
gradation) inside the NCAT Asphalt Content Tester.
4.5 Treatment of Control Specimens
The Control specimens were stored on a shelf at room ambient temperature
and humidity until gradations could be performed as described in Section 4.7
4.6 Rational for Mixing the Experimental Specimens with AC
Mixing the aggregate specimens with asphalt cement was thought to be an
important factor since these specimens would be exposed to higher
temperatures (greater than 538° C (1000° F» inside the ignition oven
(compared to aggregate only specimens) as the asphalt cement bums.
Aggregate mixed with asphalt typically burns in the oven at 600° C (1112° F)
to 700° C (1292° F). These higher temperatures may increase the probability
that the aggregate degrades. In addition, the aggregate which will be
10
evaluated for gradation during the life of construction projects will also be
mixed with asphalt cement when determining asphalt cement content.
4.6.1 Treatment of Experimental Specimens
The four Experimental specimens were re-heated again inside a 148 +/- 50 C
(3000 F) oven for 3 ± 1 hours and mixed with approximately five percent AC,
(Conoco AC-10).
The bituminous mixture specimens were placed inside the NCAT Asphalt
Content Tester (at a set point temperature of 5380 C (10000 F» immediately
after the mixing process and tested per CPL-5120, see Appendix E. The AC in
the bituminous mixture was ignited and burned away leaving the residual
aggregate. The residual aggregate was cooled for approximately one-half
hour inside the basket assembly and then collected in a steel pan. The
Experimental specimens were stored on a shelf (less than 24 hours) until
gradations could be performed per Section 4.7
4.7 Gradations
Gradations following AASHTO T 27 (Sieve Analysis of Fine and Coarse
Aggregates) and T 11 (Amount of Material Finer Than 0.075 mm Sieve in
Aggregate) were performed on each of the eight specimens from each of the
11
six aggregate sources. A ROTAP mechanical sieve shaker was used as
described in Section 3.1, to separate the aggregate into different size
fractions.
Table 2. Number of Gradations Perfonned per Sieve Size
Sieve Size No. of No. of Exp. No. of Total No. of Control Specimens Aggregate Grad. Per Specimens Per Sources Sieve Size Per Aggregate Aggregate Source Source
Each of the 4 4 6 48 nine sieve sizes
4.8 Methods of Analysis
There were two methods used to analyze the gradation results after using the
ignition oven.
4.8.1 First Method of Analysis (Comparison of the Mean of the Experimental
and Control Specimens)
12
The first method of analysis compared the mean of the gradations between
the four Experimental and four Control specimens. The "mean difference" for
the percent passing each sieve size for each aggregate source was calculated
by subtracting the average (mean of the four Control specimens) of the
original design gradation from the average (mean of the four Experimental
specimens) of the residual aggregate specimens after using the NCAT Asphalt
Content Tester.
In addition, Confidence Interval and Frequency graphs were generated. The
Student's t-Test for a paired two sample comparison was also used to
determine if the gradation results from the Control and Experimental
specimens were statistically from the same population set. A 95 % confidence
level was used. The t-test data was also used to generate the Confidence
Interval figures (1).
4.8.2 Second Method of Analysis (One-to-One Comparison between
Experimental and Control Specimens)
The second method compared the gradation results between the Experimental
and Control specimens on a one-to-one basis. All possible combinations of
the Experimental and Control specimens were paired per sieve size and their
percent differences were calculated. The sample standard deviations were
13
calculated for each of the nine sieve sizes. The standard deviations
calculated from each of the sieve sizes were compared to the single standard
deviations found in the precision statement of AASHTO T 27.
14
5.0 GRADATION RESULTS AND DISCUSSION
5.1 Analysis Method One (Aggregate Gradation Results)
In Sections 5.1.1 - 5.1.6 and 6.1.1 - 6.1.4 the "mean difference" refers to the
average of the percent passing the four Experimental specimens minus the
average of the percent passing the four Control specimens calculated for each
of the sieve sizes.
15
5.1.1 Mean Differences Between the Control and Experimental Specimens
Illustrated for the Franciscotti Aggregate Source
Figure 1. represents the mean differences calculated for each sieve size for
the Franciscotti aggregate source. The analysis, data and figures for all of the
aggregate sources can be found in Appendix A.
16
Figure 1. Mean Differences Illustrated For Each of the Nine Sieve Sizes
Representing The Franciscotti Aggregate Source
MEAN DIFFERENCE (PERCENT PASSING) EXPERIMENTAL - CONTROL
2.00 % -.-----,-----,------,--.-----.-----,-----,------,-----,
1 .50 % +----+---l------l---t----t----+---l------l------i
1 .00 010 +----t--_+_ EXP. FINER
E 0.500/0 Q) +---\-
e O.OOv/t>r-~~ Q) ~-~--+---+---+---+---~--~--~--~
a. -0.50% +----+---!-------If-------+----+----+---!-------lf-------\
-1.00% +----+-_-+------+-~EXP. +-----+------+----+----l COARSER ~-t---I-------l
-1 .50 % +----t---+------l---l....-----.----.------/---+------l-----1
-2.000/0 +----t---l------l---t----t------t---+------li-------i
1/2 3/8 #4 #8 #16 #30 #50 #100 #200
I FRANCISCOTTI Screen size IA-l
17
After the mean differences for the percent passing each sieve size were
calculated for the six aggregate sources, 45 out of the 54 sieves had more
material passing each sieve, (the Experimental specimens were finer than the
Control specimens).
The mean differences for the percent passing each sieve size were greater
than 1.0 percent, but less than 1.75 percent for only three out of the 54 sieves
tests (nine sieve sizes times six aggregate sources). The 9.5 mm (3/8 inch)
sieve sizes from the Monk and Ralston aggregate source, and the 4.5 mm
(No.4) sieve size from the Franciscotti aggregate source were the only sieves
in which there were mean differences that were greater than 1.0 percent. The
remaining 51 sieve test mean differences were all less than 1.0 percent.
5.1.2 Confidence Interval Figure Displaying the Upper and Lower Limits for the
Franciscotti Aggregate Source
Figure 2. is a graphical representation illustrating the upper and lower
confidence intervals for the Franciscotti aggregate source. The remaining
illustrations representing the other aggregate sources may be found in
Appendix B. The data used to calculate the confidence interval limits were
generated by applying the Student's t-test for paired samples. The data used
to generate the figures may also be found in Appendix B.
18
Figure 2. Confidence Intervals Representing the Upper and Lower Limits For
Tbe Franciscotti Aggregate Source
MEAN DIFFERENCE Experimental - Control
80/0 ~~----~--~----~'----~'-----'~~~E~rr=o~r~B~~~s~------'
~ ~~ +----+-----+------+------1+-----+--1---+--)-----1 95 % Confidence
~ 50/0 _:::;: Exp. finer ~ Upper & ~ 40/0 '~?-"', 1It./ Lower limits .... /e / ' ''clIi ... _ 1 .19IF C. 30/ / -- -L f'" I
_ /0 / - :1i -- _~ /
c 20/0 ./ -7- . "'"':...-_ m 1% ..-:~/ ....... Ii /l" IL __ / ·W
E 00/0 +=~"~--~::t==+_=::+~~~~~~+t;;.~~~~-~~_~..._~ ---
c _10/0 +_~L~--+_--_+----+_--~~----_ill~~~~~-~-~~~~--+_~ ._ /e ..... _ .......,. v _ -:.111.-
20/ ~~- " . .lIIk- "Jlk--- ~ .--CI) - /0 +_-+-------".,..'------""'I"""--.,.--==~ ....... ""'r-O::=="-==iII.-..---+-----+----+--l g -30/0 +--+-----~---+----+---~--~.......,.~~~----~---+----+-~ e -40/0 +---+----+--+----+---t--~ Mean differences = ~ -50/0 r-~----r-~~~=-~=-~~~,---_,----_.----~--~ .- -60/0 +----+-----+----I E C -70/0 1 xp. coarser:
-80/0 ~-+-----+----+i----~,----~i-----r----r----+----+-~ 1/2 3/8 #4 #8 #16 #30 #50 #100 #200
I Franciscotti Screen size (ASTM)
Ir--' E'--r-ro-r-B-a-r-G-r-a-ph----.,
19
5.1.3 Frequency Distribution Illustrating the Mean Differences for the 9.5 mm
(3/8) Sieve Size
Figure 3 represents the range between the mean differences for each of the
six aggregate sources for the 9.5 mm (3/8) sieve size. The remainder of the
figures representing the other sieve sizes used in this study may be found in
Appendix C. The figures demonstrate that the range between the lowest and
highest mean differences were normally less than 1.0 percent. Occurrences
which deviated further away from the concentrated group of the mean
differences may have been due to the splitting or mechanical mixing process,
or the aggregate may have degraded during ignition process.
20
Figure 3. Frequency Distribution Displaying Tbe Mean Differences
Representing Tbe 1.18 mm (# 16) Sieve
2
1.18 MM (# 16) SIEVE FREQ. DISTR. (MEAN DIFF.S)
6/6 MEAN DIFFERENCES WERE WITHIN THIS RANGE
til W (.J Z W ~
G1 (.J o u. o =It
l----
-
~
~ -- -- f--- -- -- -- I-- 1- --
\ 1\
\
- -- -- f-- -- - -1--~ - -- --t--
,
t I--
I--
I--o -0.45% -0.35% -0.25% -0.15% -0.05% 0.05% 0.15% 0.25% 0.35% 0.45% 0.55% 0.65% 0.75%
MEAN DIFFERENCE (PERCENT PASSING)
21
5.1.4 Frequency Distribution for the 54 Sieve Tests
Figure 4 represents the frequency distribution of the mean differences for the
54 sieve tests. The mean calculated for the "mean differences" as defined in
Section 4.8 for all of the 54 sieve tests was 0.32 percent.
22
Figure 4. Frequency Distribution Of The Mean Differences For 54 Sieve Tests
FREQUENCY DISTRIBUTION 54 SIEVE SCREENS
I Experimental Mean - Control Mean = Mean Diff.s
20 .-----,---y--------r-----.-------,--w----r------.-----,----.------,
tn W Mean (of all the Mean r---
ffi 15 +----+-----+---+-------I--/+I\-i\~~ Diff.s) = 0.32%
~ 1 0 EXPERIMENTAL - -/'e/.;>----I---I\\--+------I EXPERIMENTAL I-------i
o COARSER FINER
o / \ L.---.--/'",-r---..----J
~ 5 +---+---~--~--~--~~-+--~~~--~----~ o / l ., / c( )t\ =1:1: . >~ lJl~~ "'i:;'1i ~/' ""-~=-a~. /' "" <1J~ - - ,.All O +-~~~--~,~'j>~~--~--~--~~-+---+---+~~--~~~ - .. I ..
-1.00% -0.50% 0.00% 0.50% 1.00% 1.50%
PERCENT DIFF. (All Screens)
II Std. Dev.= 0.47% II
23
Table 3. Data used to generate Figure 4.
NCAT OVEN GRADATION STUDY
FREQUENCY GRAPH 12-19-85 DATA SCAlE SCREEN VALUES SCREEN X-AXIS TIMES OCCURED
SIZE mean dltT. metric PERCENT. RANGE fr!:9tJenCy
112 -Q.17% 12.5 -Q.80% 0 112 -Q.78% 12.5 -Q.65% 2 112 -Q.03% 12.5 -Q.50% 0 112 0.03% 12.5 -Q.35% 1 112 0.08% 12.5 -Q.2O% 2 112 0.24% 12.5 -Q.05% 2 318 0.88% 9.5 0.10% 10 318 1.44% 9.5 0.25% 16 318 -Q.3O% 9.5 0.40% 3 318 0.53% 9.5 0.55% 2 318 1.68% 9.5 0.70% 4 318 0.11% 9.5 0.85% 6 ... 1.17% 4.75 1.00% " ... 0.81% 4.75 1.15% 0 tI4 0.80% -4.75 1.30% 1 ... 0.07% 4.75 1.45% 1 ... 0.10% ".75 1.60% 0 ... 0.23% 4.75 ft 0.54% 2.3 ft 0.19% 2.3 fi 0.80% 2.3 ft 0.38% 2.3 ft -Q.77% 2.3 ft '0.86% 2.3
#16 0.07% 1.18 #16 0.15% 1.18 #16 0.05% 1.18 #16 0.36% 1.18 #16 -QA1% 1.18 #16 0.67% 1.18 ~O 0.05% 0.625 #30 0.18% 0.625 ~O -Q.21% 0.625 #30 0.71% 0.625 #30 -Q.10% 0.625 mo 0.64% 0.625 #50 0.16% 0.3 #50 0.22% 0.3 tI50 0.13% 0.3 #50 0.92% 0.3 tI50 -QJ)O% 0.3 #50 0.65% 0.3 #100 0.20% 0.15 #100 0.16% 0.15 #100 0.16% 0.15 #100 0.87% 0.15 #100 0.13% 0.15 #100 0.58% 0.15 tI200 0.22% 0.075 #200 0.12% 0.075 #200 0.04% 0.075 #200 0.76% 0.075 #200 0.81% 0.075 #200 0.39% 0.075 24
STCS 0.47% MEAN 0.32%
5.1.5 Experimental Specimens that Appeared Coarser after Using the NCA T
Asphalt Content Tester
In some cases, when the mean differences were calculated for each sieve size
after using the NCAT Asphalt Content Tester, the Experimental specimens
appeared to be coarser. The 12.5 mm (1/2 inch) sieve from the Ralston
aggregate source and the 12.5 mm (1/2 inch) and the 9.5 mm (3/8) sieve size
from the Valco/Rocky Mountain aggregate source are examples of this. See
Section 6.1.2 for an explanation of cases like these.
5.1.6 Summary of Results Using Analysis Method One
The results showing the ranges of the mean differences for the six different
aggregate sources are shown in Figure 5.
25
Figure 5. Summary of the Gradation Results (Mean Differences, Analysis
Method One)
GRADATION RESULTS MEAN DIFFERENCES
< 0.50 PERCENT 6 ~--.--.---.--~--~--.--.---.--~
> 0.50 < 1.00 PERCENT 6 ~--.--.---.--~--.---.--,---.--~ CIJ w 5 -+---+----t---+---f---+---+----t---+-----i (.)
SIEVE SIZES
> 1.0 < 1.50 PERCENT 6 .---.--,---.---.--.---.--.---.--~
ffl 5 -+---+----t----+---+----+---+------i----+----i (.) Z ~4+---t-----+---+---+--+---+----1---+----1
:::> 8 3 -+---+----t----+---+----+---+------i----+-----i
o ~2 +---t-----+---+---+--+---+__--1---+--~ o
1.18MM O.3MM
Z ~ 4 +---+__--1--__+_ :::J (J 3 -+---+----t----+ (J o ~ 2 -+---+-o 01 z
o
6
ffis
> 1.5 < 2.00 PERCENT
(J z ~4 => 83 o ~2 o 01 z
o :~ 4.75MM 1.18 MM
SIEVE SIZES SIEVE SIZES O.3MM
L.:::::========--_____ 9 SIEVE SIZES X 6 AGGR. SOURCES = 54 SIEVE COMP ARSIONS
26
D.075 MM
Reviewing Figure 5 reveals that the ranges of the mean differences for the 54
sieve tests were generally less than 1.0 percent. Thirty three were less than
0.5 percent, eighteen were less than 1.0 percent, two were less than 1.5
percent and one was less than 2.0 percent.
Ninety four percent of the calculated mean differences for the percent passing
each sieve screen were less than 1.0 percent. Only six percent of the mean
differences were greater than 1.0 percent.
5.2 Analysis Method Two- Aggregate Gradation Results
The standard deviations were calculated using the percent differences from
each of the 16 possible paired combinations between the four Experimental
and four Control specimens for each individual sieve size. The single
standard deviations from the precision statement in AASHTO T 27 were then
subtracted from their respective sieve size standard deviations calculated
from the 16 possible paired combinations.
5.2.1 AASHTO T 27 Precision (Single Operator)
The precision statement for an aggregate sample which was split one time is
given in AASHTO procedure T 27. The precision (for a single operator) in
27
determining the gradation per aggregate size is given in Table 4.
The estimates of precision for the method listed in AASHTO T 27 are based on
results from the AASHTO Materials Reference Laboratory Reference Sample
Program, with testing conducted by this method and ASTM C 136. The data is
based on the analyses of more than 100 paired test results from 40 to 100
laboratories. The values in the table are given for different ranges of
percentage of aggregate passing one sieve and retained on the next finer
sieve. The Table uses ASTM C 670 Practice for Preparing Precision
Statements for Test Methods For Construction Materials (3). The data for the
aggregate gradations tested in this study for the percent of aggregate passing
one sieve and retained on the next finer sieve is shown on Table 5.
28
34
' : .. ..
:: " ~ .
...... .. . .....
Table 4. Precision Statement from AASHTO T 27
METHODS OF SAMPLING AND TESTING
Coarse Aggregates: C
Single-Operator Precision
Multilaboratory Precision
Fine Aggregates: Single..()perator Precision
'. i Multilaboratory '~ision .
TABLE 1 Precision
Percent of Size Fraction Between
Consecutive Sieves
o to 3 3 to 10
10 to 20 20 to SO o to 3 3 to 10
10 to 20 20 to 30 30 to 40 40 to SO
o to 3 3 to 10
10 to 2Q 20 to 30 30 to 40 40 to SO o to 3 3 to 10
10 to 20 20 to 30 30 to 40 4O:to SO
Coefficient of Variation
(IS percent), Percenf
30"
Standard Deviation
(IS), Percenr'
1.40
0.95 1.38
1.06 1.66 . 2.01 2.44 3.18
0.14 0.43 0.60 . 0.64 0.71
0.21 0.S7 0.9S 1.24 1.41
.# .' ~
Acceptable Range of Test Results
(D2S percentt Percent (D2S),A
of Average Percent
SSD 4.00 2.7 3.9
3.0 4.7 S.7 6.9 9.0
0.4 1.2 1.7 1.8 2.0
0.6 ,:.1.6 .,:.
2.7 3.S 4.0
I
A These numbers repl'C$Cnt, 'fC$pcCtlvely, die (IS) aaif(02s) 'as CJCsCri~ iii' ASTM C 670. ' , /I Tbesenumbcrs'repl'C$Cnt, rapccdoiely, the (IS percent)"UId (D2S 'percent) ·limits as described in ASTM
. C670. . , . .. . .' . . : .' .. . . . . " ' .'cnae pieCiSionesti~ lie based on~ aggregates with iiomilia!'~mumsizc of 19.0mmca,.in.). · .
. ,: P These values IU'C from precision Indices f"Jnt inc:ludecl-in T 27. Other Indices were developed In 1982 :. from morerec:ent AAStrrO ~s Reference l.IlIorafory'sample data; which did not provide sufficient .lnfOI1\l8tion to revise the values IS noted. . ' . '
29
T 27
Table 4 from the AASHTO T 27 procedure, allows a single standard deviation
for the gradation blends used in this experiment with a range between 0.95
and 1.4 percent for coarse material and a range between 0.14 and 0.64 percent
for fine material using a single operator. The values depend on the
percentage passing one sieve and retained on the next finer sieve.
30
Table 5. Percent of Aggregate Passing One Sieve and Retained on the Next
Finer Sieve for Each Aggregate Source
.PMNQJ.ICOm EXPERIMENTAL
SIEVE SIZE
1/2 3/8 #4 #8 #16 #30 #50 #100 #200
1WINQS~R.I(RWlN· · EXPERIMENTAL
SIEVE SIZE
SIEVE SIZE 1/2 3/8 #4 #8 #16 #30 #50 #100 #200
AGGREGATE PERCENT PASSING PERCENT PASSING ONE SIEVE DESCRIPTION EACH SIEVE SIZE AND RETAINED ON THE
NEXT FINER SIEVE
COARSE 99.66% COARSE 70.52% 29.14%
FINE 45.84% 24.69% FINE 33.61% 12.23% FINE 24.79% 8.82% FINE 17.36% 7.43% FINE 11.32% 6.04% FINE 7.30% 4.02% FINE 4.60% 2.69%
AGGREGATE PERCENT PASSING PERCENT PASSING ONE SIEVE DESCRIPTION EACH SIEVE SIZE AND RETAINED ON THE
COARSE COARSE
FINE FINE FINE FINE FINE FINE FINE
99.81% 80.17% 59.51% 43.91% 32.09% 22.67% 14.63% 9.16% 5.88%
31
NEXT FINER SIEVE
19.64% 20.66% 15.60% 11.82% 9.42% 8.05% 5.47% 3.28%
B AASHTO
T27 AFTER 1 SPLIT AGGREGATE
ONLY 100 PAIRED
TEST RESULTS
PRECISION (1S),%
1.38 0.64 0.60 0.43 0.43 0.43 0.43 0.14
B AASHTO
T27 AFTER 1 SPLIT AGGREGATE
ONLY 100 PAIRED
TEST RESULTS
PRECISION (1S),%
0.95 0.64 0.60 0.60 0.43 0.43 0.43 0.43
·. ~Io.o':Tori · EXPERIMENTAL
SIEVE SIZE
SIEVE SIZE 112 318 #4 #8
#16 #30 #50 #100 #200
. . J.o'NI .. · EXPERIMENTAL
SIEVE SIZE
SIEVE SIZE 112 318 #4 #8 #16 #30 #50 #100 #200
AGGREGATE PERCENT PASSING PERCENT PASSING ONE SIEVE DESCRIPTION EACH SIEVE SIZE AND RETAINED ON THE
NEXT FINER SIEVE
COARSE 98.17% COARSE 81.19% 16.99%
FINE 66.56% 14.63% FINE 41.61% 24.95% FINE 26.68% 14.93% FINE 16.92% 9.77% FINE 8.99% 7.93% FINE 5.01% 3.97% FINE 2.74% 2.28%
AGGREGATE PERCENT PASSING PERCENT PASSING ONE SIEVE DESCRIPTION EACH SIEVE SIZE AND RETAINED ON THE
NEXT FINER SIEVE
COARSE 99.29% COARSE 81.99% 17.30%
FINE 64.10% 17.89% FINE 41.67% 22.43% FINE 29.43% 12.24% FINE 21.19% 8.24% FINE 13.53% 7.65% FINE 7.85% 5.69% FINE 4.34% 3.50%
32
B AASHTO
T27 AFTER 1 SPLIT AGGREGATE
ONLY 100 PAIRED
TEST RESULTS
PRECISION (1S),%
COMBINATIONS
PRECISION
(D2S),%
0.95 0.6
0.64 0.6
0.43 0.43 0.43 0.14
B AASHTO
T27 AFTER 1 SPLIT AGGREGATE
ONLY 100 PAIRED
TEST RESULTS
PRECISION (1S),%
0.95 0.60 0.64 0.60 0.43 0.43 0.43 0.43
VAL.e.O·: ." EXPERIMENTAL
SIEVE SIZE
SIEVE SIZE 112 3!8 #4 #8
#16 #30 #50
#100 #200
,e8.i0§A "" EXPERIMENTAL
SIEVE SIZE
SIEVE SIZE 1/2 3/8 #4 #8
#16 #30 #50 #100 #200
AGGREGATE PERCENT PASSING PERCENT PASSING ONE SIEVE DESCRIPTION EACH SIEVE SIZE AND RETAINED ON THE
NEXT FINER SIEVE
COARSE 99.79% COARSE 74.15% 25.64%
FINE 61.42% 12.73% FINE 45.51% 15.91% FINE 35.18% 10.33% FINE 25.81% 9.37% FINE 11.86% 13.95% FINE 5.01% 6.85% FINE 2.77% 2.24%
AGGREGATE PERCENT PASSING PERCENT PASSING ONE SIEVE DESCRIPTION EACH SIEVE SIZE AND RETAINED ON THE
NEXT FINER SIEVE
COARSE 100.00% COARSE 75.54% 24.46%
FINE 51.29% 24.25% FINE 36.74% 14.55% FINE 26.02% 10.72% FINE 18.76% 7.26% FINE 13.00% 5.76% FINE 8.80% 4.20% FINE 6.13%
33 2.67%
B AASHTO
T27 AFTER 1 SPLIT AGGREGATE
ONLY 100 PAIRED
TEST RESULTS
PRECISION (1S),%
1.38 0.60 0.60 0.60 0.43 0.60 0.43 0.14
B AASHTO
T27 AFTER 1 SPLIT AGGREGATE
ONLY 100 PAIRED
TEST RESULTS
PRECISION (1S),%
1.38 0.64 0.60 0.60 0.43 0.43 0.46 0.14
5.2.2 (Experimental - Control) Data Minus AASHTO T 27 (Single Standard
Deviation Data)
Figure 6 represents the differences between the standard deviations for the
aggregate specimens that were split three times, mixed with asphalt cement,
and then heated inside the NCAT Asphalt Content Tester minus the single
split precision of a paired aggregate sample. The differences in the standard
deviations are due to the splitting, mechanical mixing, and heating of the
aggregate inside the NCAT Asphalt Content Tester. There appears to be
between 0.9 percent to 1.75 percent difference for the 9.5 mm (3/8), 4.75 mm
(#4), 2.36 mm (#8), 1.18 mm (#16), and 0.60 mm (#30) sieves. There is less of a
difference for the smaller sieve sizes of between 0.0 and 0.75 percent
difference for the 0.30 mm (#50), 0.15 mm (#100) and the 0.075 mm (#200)
sieve sizes.
34
Figure 6. (Experimental - Control Data) Minus AASHTO T 27 (Single Standard
Deviation Data)
(15),% DIFF. IN PRECISION BETWEEN (EXP.-CNTL) DATA & AASHTO T27
3 I I
16POSSmLE
2.5 COMBINATIONS FOR 4
2 IZ W 1.5 t) a: w a.
1
0.5
o
-0.5
1 Figure 6
~k:. / EXP. &4CNTL
/ ~ SPECIMENS -- ----- - ---- ----- -/---- f...----- -~-
.~ ) ~ ><!~ -; '\ /1' 6 ~ I-'
c
K \, / ~~ \.~
-/': -A v ~ V '\ "'~ ~ / --- -----~ ~-1-- ------ ------ ----~ --~-i ~--~ It----- --
/ \,,\j~~
/ \ b~~7 •• ~ "-., ........." ..Ji!",
~21 E:!"
112 318 #4 #8 #16 #30 #50 #100 #200
SIEVE SIZE
1---- FRANClscorn ~ WlNDSORllRWlN ---¥-- RALSTON
--*- MONK -m-- VALCO ------A- PAGOSA
35
5.2.3 Control Data Minus AASHTO T 27 (Single Standard Deviation Data)
In a attempt to measure the error induced when the aggregate was split three
times the standard deviations of the percent differences were also calculated
from the six possible paired combinations using the four Control specimens
only.
The single standard deviations from the precision statement in AASHTO T 27
were also subtracted from the standard deviations of each respective sieve
size from the six possible paired combinations. The results are illustrated in
Figure 7. Figure 7 represents the (Control specimens) aggregate that were
split three times but not mixed with asphalt cement or heated inside the NCAT
Asphalt Content Tester.
36
Figure 7. Control Data Minus AASHTO T 27 (Single Standard Deviation Data)
(1S),% DIFF. IN PRECISION BETWEEN CONTROL RE8UL T8 & AA8HTO T27 3
I'...
2.5 ~
"'" / "~ 6 POSSIBLE
2 I--
\ / '<l \ COMBINATIONS \ ), ~ ~.-::i ~~ FOR 4 CONTROL
Z 1.5 W
0 0:: 1 W c..
0.5
XI A ~ ~ ~'\ '\ SPECIMENS \
,Y 1\ // V \~ ')~ I¥ y., "fi ~) 1<~
-- ----- --((---1-\- --1--- --------~ -~~- ------ --- --
II I \ / ) ! \~, .~
I~ Ir . \V ~\' ~ ...
0 ({ ~ ~ •
~
-0.5 1/2 3/8 #4 #8 #16 #30 #50 #100 #200
SIEVE SIZE
I Figure 7 ~ FRANCISCOTTI ----'H- WlNDSORllRWlN ---'0"- RALSTON
-*- MONK --ffi- VALCO ~ PAGOSA
37
5.2.4 (Single Standard Deviation Data, Figure 8)
In an attempt to reveal the effects that the ignition oven may have had on the
aggregate, the differences between the standard deviations for Figure 6 and
Figure 7 were determined.
The differences between the single standard deviations for Figure 6 and
Figure 7 are illustrated in Figure 8.
38
Figure 8. Difference Between Figure 6 and Figure 7 (Single Standard
Deviation)
DIFF. BETWEEN FIG. 6 AND 7 (18), %
3
2.5
2
I- 1.5 Z W 1 () c::: 0.5 W a.. 0
-- ----~ ----- "'---~~ '" 1\ ~
\/x "---, V \/
J:R--7"\
/ 111 ~ L ~
~. "~
~ ') Ii--------: ::::>< ----~ ll-.
/ .-. --... 7. ~ ...... "---
~ -- -.....", -0.5 -- -----1: ~-- "7'-\- --- --~-- ----- ----~ ~-----
-1 ~ \ / _\
\ / \ -1.5 \
--
1/2 3/8 #4 #8 #16 #30 #50 #100 #200
SIEVE SIZE I Figure 8 I L-------' _ e _ FRANCISCOTTI ~ WINDSOR/IRWIN ~ RALSTON
---*- MONK -m-- VALCO -:6.- PAGOSA
39
5.2.5 Summary of Results Using Analysis Method Two
The area which contains the majority of the points plotted for the percent
difference in precision were reduced from a upper and lower range of +0.75 to
+1.8 percent for Figure 6 to a upper and lower range of -0.6 to +0.6 percent for
Figure 8. The percent differences in standard deviations were significantly
reduced when the error due to splitting was alleviated.
40
5.3 Application of Correction Factors
Correction factors may be required to compensate for possible aggregate
degradation inside the ignition oven.
Note: The data obtained from this experiment represents only the aggregate
that was tested, individual aggregates should be tested separately for their
susceptibility to degradation when placed inside the NCAT Asphalt Content
Tester. Anyone using the ignition oven to determine aggregate gradation
from a bituminous mixture should be aware of the possibility that aggregate
sources other than the ones used in this study may degrade more under the
high temperatures present inside the NCA T Asphalt Content Tester.
5.3.1 Testing for the Possibility of Aggregate Degradation
Aggregate degradation may be tested for by splitting a sample of a known
gradation one time, producing paired specimens. The sample shall meet the
minimum test weight requirements specified by AASHTO 27 (Section 6.4 -
Sampling). One of the paired aggregate specimens shall be mixed with the
appropriate amount of water and hydrated lime and dried in an exhaust oven
at the proper mixing temperature along with the asphalt sample. The
aggregate specimen and the asphalt sample shall be removed from the
41
exhaust oven and mixed with the asphalt using a mechanical mixer. The
bituminous mixture is than heated inside the ignition oven and tested. The
other paired specimen shall be treated as the Control specimen as specified in
Section 4.0 of this paper.
This procedure shall be repeated three times using three separate known
aggregate gradation samples from the same source. The percent differences
from each sieve size for the paired specimens shall be calculated for each of
the three samples. The standard deviation shall be calculated using the
results of the percent differences between the Control and Experimental
specimens.
If the standard deviation calculated for the three samples exceeds the single
standard deviation (15),% limits as stated in AASHTO T 27, a correction factor
will be required. The correction factor will be equal to the calculated standard
deviation minus single standard deviation stated in AASHTO T 27. A
correction factor will be required on any sieve size in which the calculated
standard deviation for that sieve exceeds the (15),% single standard deviation
limits set fourth in the precision statement of AASHTO T 27. See Appendix 0
for the correction factors that were required using Analysis Method Two. See
FUTURE RESEARCH Section 9.0 for additional information regarding this
subject.
42
5.4 Aggregate Absorption Values
The porosity of an aggregate is generally indicated by the amount of water it
absorbs when soaked in water. A porous aggregate will also absorb asphalt
which will tend to make a bituminous mixture dry or less cohesive. The
aggregate sources with higher absorption values did not demonstrate more
degradation than aggregate sources with lower absorption values. Absorption
values for the aggregate sources evaluated are shown in Table 1. The
absorption values for each aggregate source are illustrated as follows on the
following page.
43
Figure 9. Absorption Values for Each Aggregate Source
ABSORPTION 2.4~----------------------------~--------------------------~
2-1-----------
p Z ~ 1.6
W r----------------e:. 51.2
i= ID 0::: g 0.8 +--------f ID c(
0.4 +-----
0-+----CRSEABS
FRANCISCOTTI
t ~ q IRWIN
RALSTON
MONK
44
FINEABS
VALCO
PAGOSA TROUT LAKES
6.0 CONCLUSION
6.1 Analysis Method One
6.1.1 Mean Differences Between The Experimental and Control Specimen
Gradations
The residual aggregate from the Experimental specimens were found to be
finer than the Control specimens after performing a gradation analysis (45 out
of the 54 sieve tests. This would indicate that there was some degradation
caused by the NCAT Asphalt Content Tester or through the mechanical mixing
process. However, the mean differences for the percent passing each sieve
size between the Experimental and Control specimens were relatively low
(less than 1.5 percent for nearly all the sieve sizes analyzed from each
aggregate source).
6.1.2 Experimental Specimens that Appeared to be Coarser after Using the
NCAT Asphalt Content Tester
In a few instances (see Section 5.1.5) the Experimental specimens appeared to
be more coarse (less material passed through the sieves) after using the
NCAT Asphalt Content Tester, this was a probably a result of the splitting or
mechanical mixing process and not due to the ignition oven.
45
6.1.3 Possible Reasons for the Variation in Gradation Results
Possible reasons for the variances in gradation include several factors such
as high temperature degradation, mechanical mixing and the splitting process.
6.1.4 Student's t-test
The data from each from the different sieve sizes for each of the aggregate
sources clearly demonstrates the t-test statistic (t) is less than the t critical
two tail. This means that one can be 95% confident that the two data sets
came from the same population set. (See Appendix B).
6.1.5 Summary of Analysis Method One
Since the mean differences between the Experimental and the Control
specimens for the percent passing each sieve size were less than 1.5 percent
for nearly all the sieve sizes analyzed (coarse and fine aggregate) it may be
deduced that heating the six bituminous mixture sources using the NCAT
Asphalt Content Tester had only a small affect on the gradation. The
gradations between the Experimental and the Control specimens were not
statistically different.
46
6.2 Analysis Method Two (One to One Comparison)
6.2.1 (Experimental - ControQ Data Minus AASHTO T 27 Gradation Data (Single
Standard Deviation)
The differences in the single standard deviations for all of the sieve sizes
ranged between 0.0 to 2.5 percent. The differences were due to either the
splitting, mechanical mixing or aggregate breakdown inside the NCAT Asphalt
Content Tester or a combination of all these effects.
6.2.2 Control Data Minus AASHTO T 27 Gradation Data (Single Standard
Deviation)
The standard deviations for each sieve size were calculated after the percent
differences were determined by combining different paired specimens using
only the Control specimens. The standard deviations from each sieve size
was subtracted from each of the AASHTO T 27 standard deviations
respectively. The result of this subtraction represent the affect on the
standard deviations for each sieve size after the aggregate was split three
times. Nearly all of the significant differences between the standard
deviations for the Control specimens and the AASHTO T 27 data were
alleviated. (See Section 6.2.3) Therefore, it may be deduced that any
47
difference between the single standard deviations given in AASHTO T 27 and
the standard deviations calculated for the Control data was due to the error
induced when the aggregate sample was split three consecutive times using a
riffle splitter.
6.2.3 Figure 8 (Single Standard Deviation)
As shown in Figure 8, the percent differences between the standard
deviations straddled the zero percent line. This would indicate that the
percent differences measured were due largely to the differences caused
when the aggregate sample was split three times, and not due to the
mechanical mixing or heating of the aggregate inside the NCAT Asphalt
Content Tester. This would also indicate that the aggregate did not degrade
excessively after using the ignition oven. When the differences between the
standard deviations for Figure 6 and 7 were compared to the standard
deviations given in AASHTO T 27 only a small number of sieve sizes required
a correction factor. Most of the correction factors were less than 1.0 percent.
The correction factors that were required may be found in Appendix D.
6.3 Absorption Values
The absorption values of the aggregates that were tested did not appear to
48
have affected the results of the gradations after using the NCAT Asphalt
Content Tester after the moisture was removed per Section 4.4. The
gradations of the aggregates with high absorption values were not noticeably
different from the aggregate with low absorption values.
6.4 Summary of Analysis Methods One and Two
It may be deduced from analysis methods One and Two that the NCAT
Asphalt Oven may have caused a slight amount of aggregate degradation.
However, only a small number of the sieves required any correction factor,
almost all correction factors were less than 1.0 percent. The test method
listed in Section 5.3.1 may be used to determine the degree of aggregate
degradation.
49
7.0 RECOMMENDATION
* The NCAT Asphalt Content Tester may be used for determining gradations
of bituminous mixtures.
* Use of the NeAT Asphalt Content Tester can replace the use of chlorinated
solvents for determination of AC content and aggregate gradation.
* Correction factors will be required for aggregate that is found to degrade
inside the NCAT Asphalt Content Tester. See Section 5.3. Exceeding the
precision limits set fourth in AASHTO T 27 shall be used as a reference in
determining the requirement for gradation correction factors. Some types of
aggregate (e.g. aggregate which contains oil shale on the Colorado West
slope) may degrade excessively and unpredictably inside the ignition oven.
For these types of aggregate the ignition oven may not be effective in
determining gradation.
50
8.0 FUTURE RESEARCH
Aggregate degradation research may also be conducted by using only one
aggregate specimen, without adding asphalt cement. This could be done by
comparing the gradation of the specimen before using the ignition oven to the
gradation after heating the same aggregate specimen inside the ignition oven
for specified amount of time. This would provide a more instantaneous and
time efficient method, if a technician in the field is questioned or suspects
aggregate degradation (due to the particular mineralogy) is taking place when
the specimen is heated inside the ignition oven.
Note: This method would not account for the elevated temperatures that
would be present inside the oven chamber when asphalt cement is mixed with
the aggregate. These temperatures would typically exceed the oven chamber
set point of 538 0 C (1000 0 F).
51
9.0 REFERENCES
(1) Snedecor, W.G., and W.G. Cochran, Comparison of Two Samples, Chapter
6, Statistical Methods Eighth Edition. Iowa State Press, Ames Iowa 50010 1989,
pp 84-86.
(2) 1995 Standard Specifications for Transportation Materials and Methods of
Sampling and Testing, Seventeenth Edition, AASHTO T 27 Section 10.0
precision, pp 30-31.
(3) 1996 ANNUAL BOOK OF ASTM STANDARDS, Concrete and Aggregates
Volume 04.02, C 670 - 91 a Standard Practice for Preparing Precision and Bias
Statements for Test Methods for Construction Materials pp 4849.
52
APPENDIX A
* Mean Difference Figures for Aggregate Sources
* Data Used to Calculate Mean Differences
MEAN DIFFERENCE (PERCENT PASSING) EXPERIMENTAL - CONTROL
2. a a % ,.-----r---r----r--_.-------r---y---y----r----,
1 .50 % +-----+---+---+-------1f----f---+---+----+--I
1 . 000/0 +----+--~ EXP. FINER
C 0.50% Q.) +----+-e O.OOv/_I-o:;;;;;;;;;;~ Q.) ~-+-~-+-~-~--~-~-+--~
a.. -0.50 % +---+---+--+----+--.,.-4---I-----+---+-------l
-1 .00 % -+-----+---1----+--1 EXP. +---+-----+---+--l CO ARSER I-------+-----+--~
-1 .50 % +--t--t---+--L-...,r------r----l----t-----+-----l
-2. 000/0 -+---+---+---+---t--~-+--_+_---+--____1 1/2 3/8 #4 #8 #16 #30 #50 #100 #200
I FRANCISCOTTI I Screen size L-. ______ ---'. IA-l
A-l
MEAN DIFFERENCE (PERCENT PASSING) EXPERIMENTAL - CONTROL
2 . 00% .-------.-----.-------;.-----------.------.---------.------.-----.-----------,
1 .50 % -+---+---+---------11----+--+-----+--+---------11--------1
1.00% +----+-, '--+----+--t-----i EXP. FINER
~ 0.50 % +----+-c Q)
~ o. 00.."rP-tQ)
a... -0.50% -+----+--+------1 EXP.
-1.00% +---!-----I-----+---------l COARSER
-1 .50 % -+---+---+---------1I----+--+-----+--+---I---------f
-2.00 % -1----+---+------11----+--+-----+--+---1--------1
1/2 3/8 #4 #8#16 #30 #50 #100 #200
L T NPIT I RA S 0 Screen size
A - 2
2.00%
1.50
1.00
0
0/0
0/0
..- 0.50 % c Q) e 0.00 Q)
a.. -0.50
-1.00
-1.50
01 IU
0/0
0/0
% 0 -2.00 Yo
MEAN DIFFERENCE (PERCENT PASSING) EXPERIMENTAL - CONTROL
EXP. FINER
• """"""'" ..-~ WIll
EXP. COARSER
1/2 3/8 #4 . #8 #16 #30 #50 #100 #200
IV ALCOIRKY MTN PIT I Screen size ~
A-3
MEAN DIFFERENCE (PERCENT PASSING) EXPERIMENTAL - CONTROL
2.00 % ,-----,-----.-----------,------.----,-----,-----.-----------,---,
1.50% +---+--t----t------H EXP. FINER I----+-------i
1 .00 % +----+---+----------t---+--+----+---+----------t------i
+-' 0.50%-+-----+-c:: Q) e 0.00%+---""" Q)
a.. -0.50 % -+------+--""T----'---...J....-------'------'-------r+-----+----+-------i
~~~EXP. COARSER -1. 00% +---l--===t===F==F======F=~-__+___----l-__I
-1 .50 % -+------+----+----------i'------+---+-----+----+----------i------i
-2.00% -+----+---+-----I--4---+----+---+-----I------i
1/2 3/8 #4 #8 #16 #30 #50 #100 #200 1'-IR-WIN--WIN--D-S-O-R- p- r-T--'I Screen size I A - 4
A-4
MEAN DIFFERENCE (PERCENT PASSING) EXPERIMENTAL - CONTROL
2.00010 -,-----------,------,-----.---------.----,---------,------.-----.-------..
1 .50% +------+-
1 .00 % +------+-EXP. FINER
..... 0.50 % +------+-c: (J) e 0.000/0 +--~ (J)
a.. -0.50% +----+---f---+_
-1 . 00% ~-=--=-~-=--=-~-=--=-~---r=E=X=P=-. ---=C=-=O:--:A----=R=-=S=E=R~f-------I-~ -1 . 50% +---------1f-----+----+-L---.-----.---------.---,--.l..---+-------I
-2.00 % +---------1~--+---+---f--I------+---+---+-------I 1/2 3/8 #4 #8 #16 #30 #50 #100 #200
MONK PIT '--1 ------ Screen size
A-5
MEAN DIFFERENCE (PERCENT PASSING) EXPERIMENTAL - CONTROL
2.00 % .------.---,--------,-----.-----,--------,----,----,r---------,
1.50% -+-----+---+-----+---+---~EXP. FINER
1 .00 % +----+---+------t----t--+----+---+------t------i
..- 0.50% +---+---+---t-c: Cl)
~ 0.00% Cl)
a.. -0. 500/0 --t-----t--r--~===f====±::=::±:==t;--____r_-I +----+----If------t---i EXP. COARSER I----I------i
-1 .00 % +---+---+------t----4.-----.-----,--------,-------.l-r-----j-------------j
-1.500/0 +-----+----+-------l----+--+-----+----+------tl---j
-2.000/0 +-----+----+-------l----+--+-----+----+------tl---j
1/2 3/8 #4 #8 #16 #30 #50 #100 #200
I PAGOSA PIT Screen size
A-6
DATE: 8-13-96
SUMMARY OF t- TEST PAIRED TWO-SAMPLE FOR MEANS AND GRADATION RESULTS
GRADATION COMPARISON OF AGGREGATE MIXED WITH ASPHALT AND PLACED IN NCAT ASPHALT CONTENT OVEN ( EXPERIMENTAL) VS. THE SAME AGGREGATE LEFT IN Irs ORIGINAL STATE (CONTROL).
SIX AGGREGATE SOURCES ANAL VZED
STUDENTS T - TEST EMPLOYED
PROBABILITY OF A LARGER VALUE P(T<=t) two-tail: > .05
FRANCISSCOm PIT:
EXPERIMENTAL
SIEVE SIZE 1/2 3/8 #4 #8 #16 #30 #50 #100 #200 696X-1 99.49% 71.45% 46.37% 32.88% 24.16% 17.23% 11.32% 7.27% 4.53% 696X-2 99.41% 69.52% 45.01% 33.65% 24.84% 17.34% 11.30% 7.35% 4.73% 696X-3 99.73% 70.47% 46.14% 33.72% 24.46% 16.77% 10.82% 6.98% 4.38% 696X-4 100.00% 70.66% 45.83% 34.17% 25.69% 18.11% 11.83% 7.59% 4.76%
MEAN 99.66% 70.52% 45.84% 33.61% 24.79% 17.36% 11.32% 7.30% 4.60% sm DEV 0.26% 0.79% 0.59% 0.53% 0.66% 0.55% 0.41% 0.25% 0.18%
CONTROL 1/2 3/8 #4 #8 #16 #30 #50 #100 #200
696X-5 99.59% 67.61% 42.44% 30.68% 22.43% 15.40% 9.78% 6.16% 3.78% 596X-6 100.00% 70.25% 44.52% 33.86% 26.36% 19.04% 12.45% 7.88% 4.80% 696X-7 100.00% 69.59% 44.26% 31.81% 23.13% 16.02% 10.40% 6.75% 4.25% 696X-8 99.72% 71.11% 47.45% 35.91% 26.94% 18.78% 12.00% 7.58% 4.69%
MEAN 99.8% 69.6% 44.7% 33.1% 24.7% 17.3% 11.2% 7.1% 4.4% STD DEV 0.2% 1.5% 2.1% 2.3% 2.3% 1.9% 1.3% 0.8% 0.5%
MEAN DIFF -0.2% 0.9% 1.2% 0.5% 0.1% 0.1% 0.2% 0.2% 0.2% s sub 0 bar 0.18% 1.05% 1.17% 0.93% 0.85% 0.78% 0.56% 0.34% 0.18% Mean DIFF + 3.18 0.40% 4.21% 4.88% 3.50% 2.77% 2.53% 1.94% 1.28% 0.79% Mean DIFF - 3.18: -0.75% -1.7% -1.7% -1.7% -2.0% -1.9% -1.2% -0.6% -0.2% t -0.9457 0.8431 1.0010 0.5779 0.0881 0.0675 0.2831 0.6005 1.2101 t critical two- tail 3.1824 3.1824 3.1824 3.1824 3.1824 3.1824 3.1824 3.1824 3.1824
RALSTON PIT: EXPERIMENTAL
SIEVE SIZE 1/2 318 #4 #8 #16 #30 #50 #100 #200 NCAT-1 97.60% 79.72% 65.03% 41.77% 27.93% 18.37% 10.02% 5.62% 3.01%
A-7
NCAT-2 98.76% 81.80% 66.62% 41.02% 26.01% 16.29% 8.48% 4.65% 2.44% NCAT-3 98.11% 80.78% 65.69% 40.10% 24.91% 15.42% 8.09% 4.55% 2.56% NCAT-4 98.23% 82.45% 68.90% 43.55% 27.88% 17.59% 9.35% 5.24% 2.93%
MEAN 98.17% 81.19% 66.56% 41.61% 26.68% 16.92% 8.99% 5.01% 2.74% sTD DEV 0.5% 1.2% 1.7% 1.5% 1.5% 1.3% 0.9% 0.5% 0.3%
CONTROL
SIEVE SIZE 1/2 3/8 #4 #8 #16 #30 #50 #100 #200 non-NCAT-5 99.08% 77.93% 64.19% 39.97% 25.14% 15.68% 8.22% 4.54% 2.43% non-NCAT-6 98.96% 79.61% 66.04% 42.76% 27.84% 17.75% 9.30% 5.04% 2.59% non-NCAT-7 99.08% 79.69% 66.05% 39.76% 24.77% 15.39% 8.08% 4.60% 2.63% non-NCAT-8 98.69% 81.77% 66.71% 43.18% 28.40% 18.15% 9.48% 5.22% 2.83%
MEAN 98.95% 79.75% 65.75% 41.42% 26.54% 16.74% 8.77% 4.85% 2.62% sTD DEV 0.2% 1.6% 1.1% 1.8% 1.8% 1.4% 0.7% 0.3% 0.2%
MEAN DIFF -0.8% 1.4% 0.8% 0.2% 0.1% 0.2% 0.2% 0.2% 0.1% s sub 0 bar 0.3% 0.3% 0.5% 0.7% 1.0% 1.0% 0.6% 0.3% 0.2% Mean DlFF + 3.18 0.12% 2.52% 2.50% 2.51% 3.25% 3.24% 2.00% 1.19% 0.64% Mean DIFF - 3.18: -1.68% 0.36% -0.87% -2.13% -2.95% -2.89% -1.57% -0.86% -0.41% t -2.7599 4.2590 1.5376 0.2640 0.1508 0.1820 0.3872 0.5009 0.7109 t critical two- tail 3.1824 3.1824 3.1824 3.1824 3.1824 3.1824 3.1824 3.1824 3.1824
VALCO/ROCKY MOUNTAIN/CAS PIT:
CONTROL 1/2 3/8 #4 #8 #16 #30 #50 #100 #200
NON NCAT-5 100.00% 75.67% 61.68% 45.32% 35.54% 26.49% 12.05% 5.00% 2.78% NON NCAT-6 99.51% 73.90% 59.11% 43.30% 33.20% 24.21% 10.84% 4.49% 2.54% NON NCAT-7 99.76% 75.41% 61.56% 45.86% 36.79% 27.68% 12.58% 5.29% 3.03% NON NCAT-8 100.00% 72.81% 60.13% 44.37% 35.00% 25.71% 11.43% 4.61% 2.56%
MEAN 99.82% 74.45% 60.62% 44.71% 35.13% 26.02% 11.73% 4.85% 2.73% sTD DEV 0.2% 1.3% 1.2% 1.1% 1.5% 1.5% 0.8% 0.4% 0.2%
EXPERIMENTAL
NCAT-1 100.00% 71.69% 60.00% 43.43% 33.15% 24.23% 11.29% 4.86% 2.75% NCAT-2 99.62% 72.94% 60.56% 45.85% 36.40% 27.19% 12.62% 5.26% NCAT-3 99.55% 75.29% 60.34% 44.62% 34.36% 25.03% 11.39% 4.81% 2.75% NCAT-4 100.00% 76.69% - 64.77% 48.14% 36.83% 26.80% 12.13% 5.10% 2.80%
MEAN 99.79% 74.15% 61.42% 45.51% 35.18% 25.81% 11.86% 5.01% 2.77% sTD DEV 0.2% 2.3% 2.2% 2.0% 1.7% 1.4% 0.6% 0.2% 0.0%
MEAN DIFF -0.0258% " •• "".A."* 0.7965% 0.7997% 0.0527% -0.2101% 0.1306% 0.1604% 0.0356% s sub 0 bar 0.07% 1.62% 1.46% 1.39% 1.45% 1.35% 0.68% 0.29% 0.08% Mean DIFF + 3.18 0.19% 4.86% 5.43% 5.23% 4.67% 4.10% 2.30% 1.07% 0.30%
Mean DIFF - 3.18: -0.24% -5.46% -3.84% -3.63% -4.57% -4.52% -2.04% -0.75% -0.23%
t -0.3823 -0.1842 0.5468 0.5747 0.0363 -0.1551 0.1918 0.5621 0.4266 t critical two- tail 3.1824 3.1824 3.1824 3.1824 3.1824 3.1824 3.1824 3.1824 3.1824
-, A-a
Irwin WinsorlStute Pit:
CONTROL 1/2 3/8 #4 #8 #16 #30 #50 #100 #200
NON NCAT-5 100.00% 80.67% 59.97% 43.01% 31.60% 22.14% 13.88% 8.29% 4.99% NON NCAT-6 99.70% 81.64% 60.27% 44.14% 31.81% 22.03% 13.90% 8.57% 5.49% NON NCAT-7 100.00% 75.87% 56.65% 42.17% 30.19% 20.18% 12.33% 7.46% 4.67% NON NCAT-8 99.40% 80.37% 60.86% 44.82% 33.32% 23.51% 14.71% 8.82% 5.34%
Mean 99.78% 79.64% 59.43% 43.54% 31.73% 21.96% 13.71% 8.29% 5.12% STD DEV 0.3% 2.6% 1.9% 1.2% 1.3% 1.4% 1.0% 0.6% 0.4%
EXPERIMENTAL
NCAT-1 99.78% 79.98% 58.65% 44.50% 33.76% 24.42% 15.79% 9.73% 6.10% NCAT-2 99.45% 82.21% 60.11% 42.64% 30.06% 20.80% 13.37% 8.47% 5.59% NCAT-3 100.00% 78.89% 58.50% 42.87% 31.01% 21.76% 14.02% 8.76% 5.59% NCAT-4 100.00% 79.60% 60.78% 45.63% 33.53% 23.71% 15.34% 9.66% 6.25%
Mean 99.81% 80.17% 59.51% 43.91% 32.09% 22.67% 14.63% 9.16% 5.88% STD DEV 0.3% 1.4% 1.1% 1.4% 1.8% 1.7% 1.1% 0.6% 0.3%
MEAN DIFF 0.0298% 0.5331 % 0.0742% 0.3760% 0.35n% 0.7092% 0.9207% 0.8704% 0.75n% s sub D bar 0.20% 0.9% 0.7% 0.6% 0.8% 0.8% 0.6% 0.3% 0.2% Mean DIFF + 3.18 0.66% 3.34% 2.17% 2.44% 2.94% 3.18% 2.70% 1.98% 1.47% Mean DIFF - 3.18: -0.60% -2.28% -2.02% -1.69% -2.23% -1.76% -0.86% -0.24% 0.05% t 0.1509 0.6041 0.1129 0.5791 0.4401 0.9133 1.646 2.5009 3.4088 t critical two- tail 3.1824 3.1824 3.1824 3.1824 3.1824 3.1824 3.1824 3.1824 3.1824
MONK PIT:
EXPERIMENTAL
SIEVE SIZE 1/2 3/8 #4 #8 #16 #30 #50 #100 #200 NCAT-1 99.47% 82.21% 62.56% 38.03% 25.14% 17.44% 11.11% 6.52% 3.17% NCAT-2 98.53% 83.61% 65.02% 42.68% 30.80% 22.54% 14.76% 9.57% 7.91% NCAT-3 99.16% 81.68% 64.78% 43.70% 31.90% 23.41% 14.84% 7.91% 3.14% NCAT-4 100.00% 80.47% 64.06% 42.26% 29.88% 21.37% 13.44% 7.38% 3.15%
MEAN 99.29% 81.99% 64.10% 41.67% 29.43% 21.19% 13.53% 7.85% 4.34% sTD DEV 0.6% 1.3% 1.1% 2.5% 3.0% 2.6% 1.7% 1.3% 2.4%
CONTROL
SIEVE SIZE 1/2 3/8 #4 #8 #16 #30 #50 #100 #200 NON NCAT-5 99.50% 80.09% 62.74% 41.40% 28.90% 20.54% 13.15% 7.66% 3.72% NON NCAT-6 99.24% 78.83% 63.42% 43.15% 31.60% 23.12% 14.n% 8.27% 3.63%
A-9
NON NCAT-7 98.59% 82.73% 66.32% 42.41% 28.37% 19.66% 12.50% 7.28% 3.55% NON NCAT-8 99.50% 79.58% 63.54% 42.81% 30.48% 21.81% 13.73% 7.66% 3.23%
MEAN 99.21% 80.31% 64.01% 42.44% 29.84% 21.28% 13.54% 7.72% 3.53% STD DEV 0.4% 1.7% 1.6% 0.8% 1.5% 1.5% 1.0% 0.4% 0.2%
MEAN DIFF 0.08% 1.68% 0.10% -0.77% -0.41% -0.10% -0.00% 0.13% 0.81% s sub 0 bar 0.30% 1.22% 0.66% 0.96% 1.50% 1.42% 0.90% 0.53% 1.16% Mean D1FF + 3.18 1.03% 5.57% 2.19% 2.29% 4.36% 4.42% 2.86% 1.83% 4.49% Mean DIFF - 3.18: -0.86% -2.20% -2.00% -3.84% -5.17% -4.62% -2.87% -1.57% -2.88% t 0.2835 1.3797 0.1465 -0.8018 -0.2719 -0.0694 -0.0025 0.2444 0.6962 peT <=t) two-tail 3.1824 3.1824 3.1824 3.1824 3.1824 3.1824 3.1824 3.1824 3.1824
PAGOSA TROUT LAKES CONTROL
1/2 3/8 #4 #8 #16 #30 #50 #100 #200 Non NCAT-1 99.74% 73.50% 46.45% 33.26% 22.75% 16.09% 11.09% 7.57% 5.33% Non NCAT-2 99.80% 76.99% 54.75% 41.27% 29.60% 21.25% 14.52% 9.64% 6.63% Non NCAT-3 99.46% 72.27% 47.95% 32.01% 22.27% 15.76% 10.59% 6.97% 4.74% Non NCAT-7 99.79% 79.37% 56.00% 38.61% 27.73% 20.00% 13.62% 8.91% 6.34% Non NCAT-8 100.00% 75.03% 50.12% 34.20% 24.37% 17.49% 11.94% 7.99% 5.64%
MEAN 99.76% 75.43% 51.05% 35.87% 25.34% 18.12% 12.35% 8.22% 5.74% STDDEV 0.2% 2.8% 4.2% 3.9% 3.2% 2.4% 1.7% 1.1% 0.8%
EXPERIMENTAL
NCAT-4 100.00% 76.34% 52.40% 35.85% 25.35% 18.28% 12.53% 8.36% 5.83% NCAT-5 100.00% 74.63% 50.46% 37.59% 27.07% 19.71% 13.81% 9.44% 6.61% NCAT-6 100.00% 75.65% 51.00% 36.76% 25.63% 18.29% 12.65% 8.59% 5.94%
MEAN 100.00% 0.75538 0.51287 0.367354 0.260173 0.1876162 0.129988 0.087975 0.061266 STD DEV 0.0% 0.9% 1.0% 0.9% 0.9% 0.8% 0.7% 0.6% 0.4%
MEAN DIFF 0.2404% 0.1059% 0.2332% 0.8630% 0.6749% 0.6446% 0.6469% 0.5799% 0.3885%
S sub d bar = Sample std.! sqrt (n)
S sub d bar = mean diff./ t
t = mean diff./ S sub d bar
95 % Confidence limits = Mean diff. +/- 3.1824· S sub d bar
n = 4, # of differences
A-10
APPENDIX B
* Confidence Interval Figures For Each Aggregate Source
* Data Used to Calculate the 95 % Confidence Intervals
* Data From the Students t-Test
* Gradation Results From Each Aggregate Source
80/0 _ 7% C 6% ~ 50/0 ~ 4% E; 3% c 20/0 m 10/0 E 0% c -10/0 .; -2% g -3% e -40/0 ~-5% .- -6% c -70/0
-8%
./. /
/' /' ~ ;;r /
/' /'
III /
/" ..t ..
MEAN DIFFERENCE Experimental - Control
I I I Error Bars
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MEAN DIFFERENCE Experimental - Control
1 -1 I I L ~
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8-2
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I MONK Screen size (ASTM)
~--------------~
I Error Bar Graph
8-3
80/0 _ 7% ~ 6% ~ 5% t 40/0 B 30/0 c 20/0 m 1% E OO/C c -10/0 'a; -2% g -3%
,
e -4% ~ -50/0 . - -6% c -7%
-8%
" / .-I
I i
"}) fY
, \
\
\ \ _\
\
MEAN DIFFERENCE Experimental - Control
Exp. finer "'" '"
Error Bars --
95% ---Confidence ":"~..",. --- '(~ I ---l~~:z.
A ______ -;' --~ ~ Upper & I -
"- -"- . Lower limits r---
I--
/ ...... -~.:'7
/ " ----- ~ ~ / ,
--- -"\. / ,..iii(""
"\. / ..--"\. / ..--/
fl "" I"\, / /
"\. r~, / / k- - :;i .. --
"'" IIT/
\ ./ '= ..... -- "\. , \ ./ A ..... " AI ~ V' .
: Exp. coarser ~ Mean differences r--e ..... t--
r--1 I ~
I I I I I I I I I
1/2 3/8 #4 #8 #16 #30 #50 #100 #200 Screen size (ASTM)
1'--E-rr-o-r-B-a-r-G-r-ap-h-----, I VALCOIRKY I
8-4
Plllle: D ·1 FRANCISCOrn
flZSIa'E PI
loTest P.nd T-.s.tnpIe for Means t-Test PIIinId Two.SampIe for Means
Mean v..--0bseMItI0ns "--ean./atIon PaaIed v.n.r~ ...... ~ til I P(T~-.taII t CrIIIc4II -.!all P(T OC) twD-CII t~"'"
Mean v.uc. ~ '"--CarNIIiIIan Paaledv...-HwPoG1 b , ..... DIII'eNnce til t P(TCCJ -.tall tCrlllc4ll ...... 1'(T000MoQI tCrlllc4ll ......
Mean v.uc. ot.eIliIIIIIoIlS '"--aCanldan PocMdv.tlnce I~""'DIII' __ til t I'(TCCJ-oI tQtlc8l ...... I'(TOC) Mo-td t CrIIIc4II tMHII
II
loTest I"abd T--sampIe for Means
MeM v.IMce 0bMcwII0ns .....-Correlation PaaIed v.mnce HypaChestzed Mean 0IIf-.c:e dI t P(T c:zq ane-lal t CriIic:.I onHII P(T<=I)~ t CrilicalIIMHaiI
'"I t-Test: Paired Two-Sample for Means
u.n V.nance 0bseMdI0ns Pearson Correlatior. Pooled Variance HypoIhesIzed Mean Dilference dI t P(T <=1) ane-laJl t CriIic:.I onHiil P(T <=C) lwo-lail t QtIIcaIlwIHaH
V.w,te1 VMIabIe 2 0.8965716155323J7 CI.898279OOC59318
7.013618002147519E-G6 4.2S0073567D7682E.Q6 4 4
-O.16255117l1281695 5.631M57846CME-G6
a 3
-O.84568411GC538 0.2070384(7871417
2.35336343C3976 0.414076895742834 3.182446305Ot062
Vatfa6l.1 V.".",. J 0.705212855172953 0.696401229010712
6.307375518611894E-OS 0.000221684C36618976 4 4
.CJ.6O&CC6&5082G3 O.0CI0142371108519C121tt
o 3
0.8430567C5G71167 " .2305528'4C60898
2.35S3GC3C387S 0.46110568 U217115 3.1124C630501062
0.458362137783CUI o.c4668143058799 3..52G206S1336SQ2S.G5 0 000C3060127318459
• 4 ~71I5OC180!M36
o OOOZ32931&691S1'1OC o 3
1Il00538 C8674C75 0.19538980827056
2.35S'63C3C1II76 0.3907ll616548712 3. 1124C630501062
V.".,. 1 VMfUIe J 0.33605751306C896 0 S3068OOOO615908
2.8573177!522128645 0.000532481043717379
" 4 o.a70732286698803
0.000280527110619m o 3
0.5779862605326S 0.301901347739717
23533634343976 0.60380269S479434 3.18244630501062
ViltUbie 1 V"rUble 2 0.247896848247481 0.2471049438820667
4.356551182272443E-05 0.00051306479650().C53 4 4
0.89845'619703346 0.DDD278315192363843
o 3
0.088De56C30' 37'38 O.46767958ml309
2 3533634343976 0.935359175442618 3.1824463050'062
Mean v.narObservations Pearson Com!Iation Pooled Vatiance I-frpaIhesIzed Mean Dilfonnoe dI t P(T <=I) onHaiI t QtIIcaI onHaiI P(T<=I) tMHd t QtIIcaI tMHd
...... VMInce 0b5erwIIans ...... eo.r.IDon Pooled v..-.I~MeanDilf_ dI t P(T~--'d t QIIIcII ___
P(T~eMHII t QIIIcII eMHII
'"00 t-Test PIINd Two&mI*for .....
Mean v.tMcI 0bseIwIIaI1S ~~ Pooled VIIIMoe ~"""DIf_ dI t P(T c:zq --call tOlal--call P(TCQtMHd t QIIIcII tMHd
t-Test Paln!d Two-SampIe forUe.ns
Mean V.nance Observations Pearson Correlation Pooled Variance HypoIhesized Mean OiIferenoe dI t P(T <-"1) -.tl~ t Critical onHaH P(T <'=t) two-taiI t Critical two-tail
8-5
VMiIbte 1 VMW>J. 2 0.,736'325 0.17308811 3.0802E-05 0.00D34895
4 4 0.66341098 0.0CI018987
o 3
0.067C8688 0.C7S22009 2353363C3 0.95OCCD'9 3.182CC631
VatfaItI. f Vatfable 2 0.11317147 O. t 1158303 1.7116E-05 0.0CI0'6D7
4 4 O.C9C79551 6.1909E-05
o 3
G.28311106 Cl.39775177 235136343 o.l95503S3 3.182CC631
V"""'1 V..".",. J G.D7295878 0.0109209
.6..3456606 .. U29E.Q5
4 " CI.5C3C8712 U737645
o 3
CI.6OOSOC19 Cl.2!I52529
235136343 CI..5905058
3.182CC631
VariobIe f VMW>Ie 2 0.0C6D2038 0.04383227 3.3'47E-06 2.1637E-05
4 " 0.7OO!I3696 1.2476E-05
o 3
1.21006399 0.15645147 2.353363C3 0.31290293 3.18244631
r.g.: D-2
t-Test: Panel TW!>-SampIe for Means
a-.aliolls ~ Corretatian Pooled va.tance HypothesIzed Mean OiIrerence dI .
I P(TcoQon&W t QIIcaI on&W P(T c-Q two-CaB t QIIcaI two-tai
11ZSIEVE
Varlable 1 varWle I 0.98174771 0.98954466
2.2541:-00 3.~ 4 4
43474716 1.294E-05
o 3
-2.759911 0.03507877 2.35336343 0.07015754 118244631
3IBSIEVE t-Test: PaIred Two-SampIe for Means ..... v.IIInoe a.. ...... "--' COm!IaIIan Pooled v.tIInce ~ ...... OiIrerence III t P(Tc-Q~ t QIIcaI CIIIIHIII P(Tc-Q twoQI t QIbI two-aI
YafIInce ObceIwtb. "--' 0arI-.a0n PoaIed V8IIInae ~""'0iIreIence III t P(Tc-QonHd t QIIcIII onHaII P(Tc-Q twHII t 0IIcII twMII
•• SIEVE t-Telt PaIred Two-SampIe b' Means
v.tIanae ObceI\o1IIIb. "--CorrelatIon Pooled Vartance HypaChesized MIr4I\ Dilference III I P(T cct) ane-tait I QIicIII one-IaH P(T c=t) two-taa I Qtica/ t>MHaiI
Varlable 1 Variable I 0.81187931 0.797<C7499 0.00014316 0.00020C654
<c 4 0.91S39077 0.00019485
o 3
4.25910261 0.01186793 2.35336343 0.C1Z373587 118244631
0.00028672 0.00011771 4 4
Q.79S9884 0.00Q20Z22
o 3
1.53762578 o.l1C187201 2.35336343 Cl.22174403 3.18244631
V.".,. 1 VM1aIW Z 0.41110038 0.41417416 0.0002147<C 0.00032<428
<c 4 0.61819305 0.00026951
o 3
0.26402279 0.40«3023 2.353363C 0.80886046 3.18244631
RALSTON (·Test: Paired T~b''' ...
Valiance 0b&eIvati0ns Pearson Correlation Pooled Variance HypothesIzed Mean 0iIreten0e dI (
PeT <=t) one-(M
I CrIicaI one-caI PeT <oct) two-CaI I Critical two-CaI
• 16 SIEVE
Vart.bIe 1 Vatfable Z
0.000219484107466921 0.000341605894113272 4 <c
0.331600138833067 0.00028054500079011
o 3
0.15075737952589 0 ... 44866700356124
2.3533634343976 0.889733<100712248 3. 18244630S01062
.30 SIEVE I·Test TwoSample~ EquIIv.tMce
. VaIfa6Ie 1 Variable Z II.." Variance 0bseMdians Pooled YaIiance HypaIhestlecS MeM DIfeIwa dI I P(T <oct) -.ui I QIicIII one-caI P(T <at) two-tIII I Qtica/ two-W
I-Test: PaIred T~far"'"
0b5eMItiaI. "--00rlWtiDn Pooled V8rIance
.~ MeanOlrennce III I P(TcoQ-.taI IQIicIII-.taI P(T <at) two-lIII I QIicIII two-lIII
I·Test: Paired T~far .....
II.." Variance 0bseMdians Pearson ConeIatiDn Pooled Variance Hypothesized Mean 0iIr-.. Iff I PeT <=I) ane-GiI I Critical ane-U~ P(T <=I) two-lail 1 Critical two-la~
I· Test: Paired Two-SampIe far Means
G.1681.6751435183 G.16743%100188705 0.000172927756316044 0.000198S33563873232
4 4 0.000185730560124635
o 6
0.182018402418259 0.430781054561881
1.94318028004358 0.1161562109123762
2.44691185086496
4 D.0170905978089687
U774936974BQfJE.a; o 3
0.387266354760011 D.362199404648422
2 3533634343916 0.724398809296844 118244630501062
flOOSIEVE
Vatfa6Ie 1 VatfabIe 2
2.543810500C0916&05 1.1158010520335E-05 4 4
4104866731527322 1 .82980577~
o 3
0.509S6005993992S 0.322738791213532
2.3533634343976 0.645477582427065
3.18244SJ0501062
.200 SIEVE
f·r •• f: P.IrN Two:S!n!pI! fbr 11_ Vart.ble f Varlable 2 Mean VarW/e f Vadable 2 Mean 0.0273632S965OCl255 0.0261979987726052 Variance 7. 7899446355805E-06 2.71984951585E-06 ObseMstians <c 4 Pearson Correlalion .().02557034075969 Pooled Variance 5.2548970757151E-06 Hypothesized Mean Dift'erence 0 ~ 3 I 0.710979718642712 P{T <=II one-lail 0.26<C1946798034O<1 1 Critical ane-Ulil 2.3533634343976 P(T <=I) two-laH 0.528389359606808 I Critical two-la~ 3.18244630501062
8-6
Pag.:D.3
1IZSlEVE t-Test: Panel Tv.o-SampIe far Means
liNn V.tance 0bceMIfIans Parson Corr$'Jon PaaIed VIII'ance ~ Mean OiIfetence .. t P(T c-C) onHIII t QtIIcII/ onHaI P(Tco:Q twoGI t QIIIcIII two.aI
ObAIWIIIaI. PeMon CamIIIIIIon PuaIed VMInce I~ ..... 0IIffftnce .. I P(TCIIQ~ I QIIIcIII anHIII P(TCIIQ Na-CaII t QIIc8IIMiM11
.4SIEVE I-T_P.nd~b-M __
v.IInoe ObAIwIb. PeMon~ PualedV ..... tt;paItIeIIzIed ..... DiIference dl I P(TCIIQ ane-4III IQIIIcIII~ P(TCIIQ twIHaI t QIIIcIII....w
.. SIEVE I-Ted: Pahd~b-Means
VIIdance 0bseMII0ns ~ c::::aneIatian PuaIed V.rIInce ~ Mean 0iIference dl t P(T coot) one.QlI tCritical~ P(T <=Cl two-taI I QIlcaIlIMHaII
IRWlNJWINSOR/STUTE PIT
v.".",. f V.".",. 2
15 .82'E~ 8. '48E~ 4 4
-0.039627 7 .48SE-06
o 3
0.'5082415 0.44411061 2.3533634 0.1IU6123 3.111244153
.c 0.7520273 0.000C317
o 3
0.8041332 0.2141.,3 2.35331534 0.5883828 3.112<14153
0.0001241 0.0003588 .c 4
0.7347129 0.0002415
o 3
0.1129463 0.«586035 2.3533DC 0."72071 3.1824463
VMWaI. f v.w. 2 OA3.ffH 0435HZ5 0.00011M15 0.0001395
4 4 0.510758
0.0001695 o 3
0 .S791.c73 0.301556
2.3533634 0.6031119 3.1824463
t·Test: PaIred Two-SampIe ror Means;
Mean Variance ObservatIons Pearson Correlation Pooled Variance ~ Mean 0iIfe!enCe .. t per <=t) one-QJI
t QIlcaI onHaiI P(T cot) two-taII t Critical two-taII
t-Test: PaIred Two&mpIe far Means
Mean Vallance 0bceMIIkIns ~QImIaIIon Pooled Vallance ~ IoIewI 0Irerence eft t P(T coot) CXIIHaI t QtIicIII one-CaI P(T coot) lwIHIII I Crllic:llllIMHIII
I·Te PaIred T~ b- Me.w
...., Variance 0bseMIII0ns Pearson CiomIIIIIDn Pooled vllliance! ~ Mean 0Irerence dl t P(Tc=Q one-CaI I CrIIic:III one-taI P(Tc=Q lIMHIII I CrlicallIMHIII
t·Test: PaIred T--sampIe far Means
Vatfanoe 0bseMIti0ns Pearson Correlation Pooled Variance ~ Mean 0iIference dr t P(T <=Cl one-taII t 0fticaI one-tail per <=t) two-tai1 t Critical two-tau
t-Test: Paired Two-Sample for Means
Mean Variance ObseIvations Pearson Correlation Pooled Variance HypoIhesiZed Mean Clifference dr t per <=I) one-tail t QiIicaI one-laU P(T <=t) two-tail t Critical two-taH
8-7
I1SSIEVE
Variable 1 V.dable 2 0.3201848 0.3173074 0.0003397 0.0001634
4 4 0.5068478 0.0002515
o 3
0.4401451 0.3448067 2.3533634 0.6896135 3.1824463
.f3OSIEVE
V.".bIe 1 V.""",. 2
0.0002817 0.0001871 4 4
0.4958221 0.0002344
o 3
0.8132575 0.2142233 2.3533634 0.41284465 3.1824463
.50SIEVE
VarfabI. f V.tabI. 2
0.0001272 8.805E-OS 4 4
0.449435 0.0001131
o 3
1.6445927 0.0993011 2.3533634 0.1986023 3.182.c463
4 0.3582937 3.769E-OS
o 3
2.5008765 0.0438185 2.3533634 0.0876389 3.1824463
#200 SIEVE
4
Vadable 1 Variable 2 0.0588157 0.0512384 1.166E-05 1.343E'{)5
4 4 0.2128736 1.255E-OS
o 3
3.4088882 0.0210925 2.3533634 0.0421851 3.1824463
OJ I
(Xl
ijjj-Ollll' I· jill-Oll 'lf I lIII ~fl I (Ill If I I
~ J r J
ilil-·,lllfl i lilii~·llllff is! 1111 'I f III1I f~ I I • I , f I !
r if! I I
~;ii~ PG i~f ~iiPP i§ if 1~lilwoll.~I~ 18111MOiD.ig
Pil iP11 .I~M .• IM
f f ~!iPI i~ iii iPiii ~; iii I~II~MO~I.I=~ ill~~wo!i.QB~
.lli · .111
Ifll-'lll,ff I 11111-'111111 I 11111-°111
111 I llill-olfilif i ~ 1111-"!111,1 i ~
r l r J r J r J f J
I Iff f
III11 Ii IiI Ii II ~i I!I 11"1 . I~ Iii 11"11 II III I" i~ II IiI il.~."o~I.11 Illgi.oil.§1 Billl .. II.11 i lil .. il.11 IIIII .. ~ .. II jil i§1 &IP1 i;1 i;l~ ~~.. 11M I M =1" ~Hi" S~ i§ II ~ .~~ .. ~i .. ~ .. ie ..II
3: o z
"
-0IIserWIans "--'CaI1*Ian PoaIecI v.Nnce 1~""'DIIr __ .. 1 P(TCOQ ...... la.c.I-.w P(Tooq ........ la.c.I ........
..... -Obwwtans "--'CornIdCIn PoaIIdv.tlnce ttpIlii1bd ..... DIIf«wa .. • P(Tooq .... .a.c.I_ P(Tooq ....... .a.c.I ........
-. -0bwwIanI '--s0cmldan I'oaIIdv.tlnce HpIwIImd ..... arr... t P(Tooq .... ta.c.l_ P(Tooq ....... ta.c.l .......
..... -0bwwIanI '--sCclrnldon PoaIecIv.t.nce ItwPofI I IIDICI ..... DIIf«wa .. t P(Tooq-.w la.c.1-.101 P(Tooq ....... tQllcll ........
-. -Obwwtans ~CcIrnIdon PoaIecIIIMMc:e ~_DiII'-.c:e .. I P(T «Ij -.fill lC111 ......... P(Tooq ........ lC111..t ........
v-... a.ww .... "--'0cmIdan -~_D'lI' __ .. 1 P(Tooq-w IQIIc:oI-.IoI P(Tooq ...... IQIIc:oI ......
VALCOIROCKY MOUNTAIHfCAS PIT
112 SIEVE
C 0.43747113 US7E-Il6
o 3
.0.3823241 0.363847& 2.3533634 O.m6955 3.1124463
V"-f V..-,
4
0.74"" '.7444tIN OJlOO5089 0.0001801
4 4 .0.5163521 D.OOO3445
a 3
.o.'&GI71 0.c327196 2.35lJ6l4 CI..I8'l58n 11124C63
G.IIOO5CI5I 0::0001613 4 4 ~ G.OOO32M
o 3
0.6488147 0.1112771 2.15J3I34 G.l22S5CI a.tI24CG
..SEVE
~,~,
.","fll52 .MT, ... ~ D.D001267
4 4 .o.53B73
0.00D2&S3 a 3
0.574711. 0.Jll28769 2.3533634 0.li057S37 11124463
• IS SIEVE
'.3!H""7 '~SUUd 0.0002998 0.0002221
4 4 .o.SI48216 0.0002609
o 3
0.0363915 0.ca&6281 2.3533634 0S732563 3.1824463
.3CSlEVE
4 .0.7&47108 0 .0002056
o 3
.0.15151552 0.4432752 2.3533634 DM65504 3.1824463
.. eon -a.ww ...... ~ComIIdan PoaIecI VII1ance I~_cnr_ .. 1 P(Tc-t)ICIII..t_ P(T<atI-10lIaI_
I!iOSIEVE
0.11851S118 0.1172$32 :un;e.os 5.612E.o5
4 C .0.1363357 U2~
o 3
0.1.,764 0A30D863 2..3533634 U601727 3.1824463 .,oalEVE
"Test I'oIrecI ~ lor ........ ~,., ... "....,.....,.,. ,""""VIf&iIie==-=,-..... D.0!i00136 0'-_ «Z3E-06 1.J396.05
0bwWI0ns 4 4 .........ComIIdan -4.15113147 PoaIIdv-... IJIOI6.06 I~""'ca- 0 .. 3 1 Cl.5621~ P(Tooq _ CI..3OIlS531
tOtlcll_ 2..3533634 P(TCOQ- U133061 10tIcII_ :a. 1824463
-. -0bwWI0ns ......... ~ PoaIId-'" I~_cnor-. .. 1 P(TCOQIOIICII_ P(Tooqla.c.I_
8-9
"I 2110 SEVE
UZ1I1II2 z..aae.m
4 47852009 2.72260S
o 3
CI.QII&037
CI.J4IIZ147 2..3533634 CI.III8GlI4 a.tl24C&3
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~TIOHOOUPMISON USIN(] THE NCAT O\IEN TAIIlEA RfJ'RESEH1'S11E OIWlAlIOH OF THE AOCJREGo\TE WITH NO ASPHAlT ADOED
TAIIlE B RS'RESEHT$11E OIWlAlIOH OF THE AGGREGATE N'T'ER ASPHAlT WAS ADDED AND BURH1' OfF ISlE THE NCAT O\IEN
TABlE TABU A B
11. la ~TE. lMEADOED NC.t.T
G...sacJorX lillI' -...cAT X Gradation AnaIpI. UbI Ral-1 10.a.a5 ~ 1G-26-85
.... We/ctII "" "-*'I puoIng SleW We/ctII"" PenoorCpesa.g e.dI ..... e.dI ... _ e.dI ..... e.dI __
1 f.'Z 1112 1 ~ -..os.....- 1 IC1C1J1O% 112 11.1 • .an 112 ao.l 17..80% M -77 ..... :w DCA 71.12% .. 1141 IUn. 114 1t4A I5..CI3% .. .. ~ 118 211.1 41.TN 1116 111.7 a1C% 1116 nu 27 ..... ~ 12111.3 1U:n 1130 1211 1U7'K aI 84.t I.2a II5CI 10U 10~ 11100 .. 1 UC% 11100 IU 1..112% .zIO 2U 2.Cft lI2IIO 12.1 101'110 42IDO 2 .coo u ..:Il10_ 2U --- a.z TGIIt 1271.1 TOIIII: 1255.1
-..:AT NCAT GNoIdorX lillI ~ G.....aot\ AMIpIo lillI ~2
1~ l~f.«I -- WIWC ........... .... w.wc"" .... pessq e.dIlIM ......... .... ..... e.dI .....
1112 1112 1 1CICl.CI05 -..os.....- 1 1CICIJIO% 11.2 1U ..... 112 1$ II..JII'IIo M Z5I.7 1Uft M 21115 BI~ tJ4 teO ~ 114 flU 1&.112% .. .... CZJIft .. IOU 4~ .,. 117'- 27~ .,. flU 2l.OI" 1130 1a.I tl.185 130 Itl .. 11.211% .so 1t2.1 &1ft - MA aAa'IIo 1n00 Il1.O LOC% .,00 4U ~ aao au 2.li'iio lI2IIO 2&.7 2.44110 4200 ~ .C2IIQ U ..zoo_ ~u --- 27A
ToW: 132ILa TOIIII: GII.7
-..c:AT NeAT ~X lillI -......:r Gnda1Ion~ lillI fW.3 1~ 11~1.-s -- WIWC"" .......... SleW WIWC ...... pessq
e.dI ............... .... ..... e.dI ..... 1112 1112 1 1CICIJIO% -..os.,.... 1 IC1C1J1O% uz 11.3 IIUIII'IIo 112 24.2 "11" M 2111..3 lI.IIIWo :w 2222 10.7li'ii0 IJ4 1&e:l a;.ow 114 1113.4 I5..Ii9% lIS 32of.3 39.~ 118 328 40.10'lI0 116 1I4JI 24.TN 1116 18U 24.11'110 1130 115.7 15..31% 1130 121.6 15.42'110 1150 10.2 IJIn II5CI IN a.o8% .,00 43 4.150'lIo .,00 45.4 4.55'110 Il2OO 24.2 2.63% lI2IIO 25.5 2.56'110 .-zoe 1.3 .coo u ..zoo_ 31.2 --- 30.9
TaIBI: 1233.1 T_ 1281.7 non~T
G ..... oodorX I.IIbIl Ral __
1f~1-85 Slew! 'I/St;IC rei PeraInI pam.g _" ___ IiZ~
1112 NCAT 1 100.00% CCXTed .,....00 Grad.tIon Analpla lob. RaI-4 112 16.2 98.69% ff~l-85
318 210 at.TN - WeI.,. "" f'ercer(passlng IJ4 186.8 66.71%
___ MChlleYesite
118 2IIU 43.18% 1112 1116 183.3 211.40'lI0 1 100.00% 1130 127.1 1&.15% 112 21.4 li8.23'iio 1150 107.6 9.48% JIB 110.3 82.45% jUlIo 52.8 5.22% 114 163.5 6UO% Il2OO 211.7 2.83% IRI 305.9 0.55% ~ 1.4 1118 189.1 27.48% -200_ 33.3 1130 124.2 17.59'110
II5CI 99.4 9.35% Total: 1240.5 11100 49.6 5.24'"
Il2OO 27.4 2.93% .coo 1.7 -200_ 33.7 B-1l Tallot 1206.6
PAGOSA TROUT lAKES _1'IOH OOIIIPAIIISON IISNJ nE ICAT OI/DI TMU:A ~nEGRAI».11OHOfnE_TEwmtNOASI'IW.T ADOBI
TMU. IlEPUS8<TSnE_lICNOflHE_lENlEItASPIW.T-SADOBl_ IIIMI'on_nEICATOI/DI TMU TMU
A • 1A Ie ICAT PUIE_lE
~X Lob. m.t --"CAT X -~ .... 127 ... I~t_ t~t_ - 'NeIghI nlir-,. .... - ~MP_,. ..... ---_ .... -----till I lIZ
I 100'- -.- I 100.-lIZ , .U." lIZ 100'-M -n.5O" M _.1 n.., ... .. '14., -... f4 211.1 11'-II IS1:I 3UI'W. II I"" M.H'W. ~. 122.2 nn'W. ... 131.7 zuno - 7704 I ...... ftI 11.1 I ...... - 11.1 II ...... - 11.7 1:LeW "01) 411.1 ,-'"' .. 00 " .1 I.5ft - 21 un; GIG SU 5 ...... - '04 - U -- SI.I -- .. T_ UIU TIIIt lIa
II.. 28 IOCAT
-~ Lob. - --"CAT -,.,... .... m.. ~ .... I~-- WeIghI--..... - WoWC'-" -...... ---_ .. -- ---ItI.I till
I MII.Ift -.- I 100_ 112 Z.I ...... lIZ 100...... - JIIt.1 IUK III au I'UC'to .. au M.7K .. 287.1 IZAft .. 177.1 .I.u... II I • AIK ... cs. ...... ~. ta.J ZUK AI 110.2 ZI.2K ftI 85 IUft - ... w.a... ., II.Z IU31I - f404 """' ..00 IO.t IUft - a.7 un; - JCI.S un; ... z.s ... Z.I -- 85 -- 87.2
T_ nl ... TIIIt 1m.7 .. 28
-~ Lob. - - X -AMw* la. m.. .- I~I-- w.wt--..... - WoWC'-" - ..... ----- -- ---Ita Ita I lOUIS -.- I MII.Ift 112 .. ....,... ta IGO_ M JfU ruK M JIIZ.I fUn; M JIZ ., ..... .. 111.5 IIIM"Io .. 20CA
_ ... II tsU 17 ..... ... III 22.Z7" ... IZI.I 17_
AI IU 15.1 .... .. • fA 11.71 ... - II.Z M..SII1' - JU 11.11 ... .. 00 ".5 U7'W. ~oo IU tAft - 21.1 ..,. .... - at UI'" 4200 • - u .-a- s ... -- 7U
T_ IZlZ.7 T_ 11111
IOCAT ."
-~ .... m.7 --="-T
I~-- Wo9CnIi_ ......
..... _---I UZ I 100_ -.-lIZ 2.1 ft.H'W. a Z54 7U7% N 2ICI.I SUlO ... II ZIU ,..11 ... ... 13504 Z7.n'W. - Mol 20._ - 11.4 I'.IZ'W. .. 00 51.5 I."'" QIO 12 I.JC'" - 1.2 ..zoo __
77.7
TabI: 12"'.1
SA
-~ UtI. IlTI\o8 ~T 111-1- - ~ .... - ...... ..... _---lin
I 100.- -....-In .ao.-M 310.Z n.on; N lOU 50.13 .. !".7 ".2Il" .11 t22.Z 2Onr. QI asA .TAft 8- 12 - ( .) 11.84'" .. 00 41 , ..... - JII.2 5.N'" - 1.1 __ III
II
ToUt: 11n3
Franclscottl 596xMIX
GRADA.lIOH COMPARISON USING TME NCAT O'IEH TAIIlEAREPRESENfS 1lE GRADATlON OF THE AOOREGATEWITH NO ASPIW.T AOOEO
TAIIlE B RfPR£SEHTS TMEGRADA.l1ON Of THE AGGREGf.TE AFTER ASPIW.T WAS ~ N40 IIURHT OFF INSIDE THE NCAT OVEN
TA8LE TABLE A a
1A ,a AGGREGATE. UME~ ~CAT NCAT
f~ 1o.z:l.85 -- w.wc.........,t. PercenI passing .... w.wc-t. Parcenlpuoq -*.r- _dl __ 1Ir1I -*1Iew -*---
'112 1 fll 1 lOO.CIOI' f 1C1C1J1O" 112 11.1 ".118% 112 Ii.f .. eft M 316.4 17.11'" M 336.f 71~ 1M 312.f 42.44'" 114 300.1 4Ii.37'"
• 145.7 3CI.IIn' 18 1&1.6 n.Ift .,. f02.3 22.43'" .,6 104.5 24."'" 6'30 trI.2 15._ A) 113.1 17.zK I'SO 111.1 1.71'" 1150 lO.II Uola IrtOC 4C.II 1.1" .,00 4&.1 7.%n' II2IIQ 28..5 :U"" GOO 32.1 4 ..... 4200 4 -GOO 2.7 -aIO ..... C2.II ~ ..... 51.1
TaIII: 1231.7 Tallt fllU
2A GcM.cJon Ana ..... Lob. .-..z to.aa5 2B
IoOGRBIATE. UIofE ADDED ~T .... ~_t. ParcenI ..... GcMatIotX Lob' ~ -*1Iew -*--.. ~ ,til
sa- ~nMwd~ PercenI ....... 1 1OOJI05 ..:II.r-
-* __ 1In til 7.2 -.41.
,til MI 365.6 -..sa ~ tcICI..OOK 114 2!l9.7 C5.IIl~ IQ '0D.CICIW0 18 131.1 111ft M 3T.l.6 lO.25% III 107.7 2Uft ..c JZ3 4CAZ" 1130 11..1 17..1n'
• 1311 3U6'K 1150 n.a lUOK .,1 84.2 2Uft 1100 4U 7.Jft ao 11.1 11.04% GOO 32 4.lW I'SO 82.8 12.e% -GOO 2.3 .,00 I7A 7"'" ~ ..... Ii5..I GOO IU 4.ICI'K 42IOQ :u TaIII: 1222.1 4110 ..... 116.5
TGIIt 1255.6 Gnddan AnaIpIe Lob. II1II-3 lo.z:l.85 .... w.wcrellllnedt. PercenI .....
-*1Iew ..:II ....... 1112
M ~T 1 1OOJI05 N3GRB3ATE. UMEADDED til 3.4 "73'K
GcMatIotX Lob. .... 7 MI 363.6 7DAn' ~ 114 3OZ.3 .,ft
Sew w.wcftlloNd~ PercenI..-,g 18 154.3 33.7a -*-- -* ..... 11& US 2C.~
, 1IZ A) 15.1 18.~ 1 loo.CIOI' 1150 74 10.82% 112 lOO.CIOI' .fOO C7.7 &.88% 3m 391.1 III~ GOO 32.3 4~ M 325.7 44.2&% -GOO 4.& III flO.l 3Uf% ~- 49.8 .,6 111.7 23.13% 6'30 11.4 16.02'" TaIII: 1242.& I'SO 722 10.40% 1100 47 6.75% GOO 32.1 4.25% .noo 4.1 Gndatlon Ana'r'''. Lab. 59Q-4
~- 50.6 IG-23-85 Sieve WrI4C_t. Pen:enI pusInQ
Tato!: 1286 eac:hsleve eedI_sIze 1I1l
4-A 1 100.00% non~CAT III 100.00%
A3GREGATE. lIMEADDED 318 370.1 70.66% GnddorX Lab' 596X-8 114 313.1 45.83% IG-24-85 III 147.1 34.17%
Slew Welitll.-.edln PercenI passing /116 107 25.69%
"""'sf""" eadlsfeveliZe Ir30 15.6 18.11% 1t12 1150 792 11.83% 1 100.00% .,00 53.5 7.59% 112 3.6 99.72% GOO 35.6 4.76% 3/11 37U 71.11% -41200 3.8 114 307.5 47.45% -200 .... ", 5&.3
• 150 35.91% In5 11&.6 26.94% Tollt 1261.3 6'30 106.1 18.78% I'SO 8&.1 12.00% 1100 57.4 7.58% Il2OO 37.5 4.69% 4200 3.& B-13 ..zoo_ 57.4
T_ 1299.6
IRWlNIWINSORlSTUTE P 647x MIX
GRADATION COMPARISON USING THE NCAT OVEN TABLE A REPRESENTS 1HE GRADATION OF THE AGGREGAlE WIlH NO ASPHALT ADOEO
TABLE B REPRESENTS 1HE GRADATION OF THE AGGREGAlE AFTER ASPHAlT WAS ADOEO AKJ BURNT OfF INSIDE THE r..
TABLE A
NOtWICAT NCAT -5 -1
112 2.9 99.78% 3Ia 258.7 79.98% lJ4 278.8 58.65% III 1&4.9 44.60%
112 100.00% .16 1<40.3 33.76% 318 246.5 80.87% ~ 122.1 24.~ lJ4 263.9 59.97% 150 112.8 15.78% Ira 216.2 a.01% "00 79.1 9.73% .16 1eA 31.60% noo ~.5 15.10% ~ 120.6 22.14% 4200 15.4 150 105.3 13.88% ~-" 73.3 .100 71.3 8.29% Ir200 42.1 4.99% TataI: 13015.8 4200 10.8 ~-" 52.8
TataI: 1274.9
~ ..z 112 .. 99.70% 112 15.4 99.e% 318 2a.2 81.64% 318 1118.7 82.21% 14 287.8 60.27% 14 255.8 60..11% .a 217.1 44.1 .. % .. 202.3 42.64% .16 186.1 31.81% .16 145.8 30.06% ~ 131.7 22.03% ~ 107.2 20.80% .so 109.4 13.80% .so 16.1 13.37% .,00 71.8 8.57% .100 156.7 8.~% noo 41.5 5.49% noo 33.3 5.59% 4200 6.1 4200 4.1 ~w.h 67.8 ~-" 80.7
ToCaI: 13-46.5 Total: 1158.2
-7 ? -3
112 100.00% 112 100.00% JIB 276.7 75.87% 3Ia 273.2 78.89% lJ4 220.5 56.65% 14 263.9 58.50% Ira 166.1 42.17% Ira 202.3 42.87% .16 137.3 30.19% .16 153.6 31.01% IJO 114.9 20.18% 130 119.6 21.76% fI50 90 12.33% 150 100.3 14.02% .100 55.8 7.46% .100 68 8.76% 1200 32 4.67% 1200 41.1 5.59% 41200 7.5 41200 5.6 ·200 wash 46.1 ·200 wash 66.7
Total: 1146.9 Total 1294.3
-8 -4
112 7.6 99.40% 112 100.00% 318 242.5 80.37% 3/8 253.7 79.60% 114 248.6 60.86% 11-4 234.2 60.78% 118 204.3 44.82% tIS 188.4 45.63% In6 146.6 33.32% 1/16 150.5 33.53% 1/30 125 23.51% 130 122.2 23.71% .50 112.1 14.71% 1150 104.1 15.34% .100 75 8.82% 1/100 70.6 9.66% .200 44.3 5.34% 11200 42.5 6.25% 41200 10.2 41200 4.7 ·200 OIash 57.9 ·200 wash 73
8-14 Total: 1274.1 Total: 1243.9
VALCOIROCKY MOUNTAIN 688x Mix
QRAD,4.T1ON oot.FARISON USING THE NCAT OVEN TASlEAREPRESENTS TlE ~TION Of THE AGGREGATE WITH NO ASPHAlT AOOED
TABlE B REPRESENTS TlE ~TION OF THE AOGREGATEAFTER ASPHAlT WAS ADOEDNlO BURNT OFF INSIDE THE NCAT OVEN
-5
III 311 .. II ." 130 ., .,00 GIO 4DI ..... TcDt .. U2 3M ... II ." ao 1150 .,00 GIO 4DI ...... TcDt
·1
1Q 3/8 ... II ." Q)
1150 .,00 ~ .dJO -2OD~
TaIaI:
-8
lQ 3/8 ... #8 .,6 1130 IJ50 .,00 jJ20Q
.jJ2OQ
-2ODwash
Tota::
TABLE A
,00.00% 7JI1.5 75.67% 17U 'UII% 2Il1O. 1 45.32%
"U 35.5ft. nO.7 2U9% 171.' 12.05% IU 5.00% 27.1 2.78%
2.7 31.3
tzZlJI
U IU,% au 71.10%
U'U 8.U% 182 G.3O'IG.
122.. SUO%. , • .2 24.2t% 112.3 1C1.11C% '17.2 4.49% 211 2.5C% 2..
211.5
121'"
J 19.76% 307.5 75..,% 174.9 61.56% 1 •. 3 45.116% 1t4.5 36.79% 115.1 27.611% 190.6 12.58% 821 5.29% 21.5 3.03%
1.9 3&.4
1262.8
100.00% 358.3 72.81% 167.1 60.13% 207.7 44.37% 123.5 35.00% 122.4 25.71% 188.2 11.43% 89.8 4.61%
21 2.56% 3.1
30.7
1311.8
-1
~
-3
4
TABLE 8
NCAT
,Q 3/8 .. .. .,6 Q) ., .,00 ~ ~ -200waII
TataI:
1Q 3/8 .. II .,6 Q)
fSO .,00 ~ ~ .. wall
TataI:
1Q 3/8 ... Ira
'" 1130 IJ50 .,00 ~ ..-:roo -200 wasil
Total:
lQ 3/8 ... Ira #16 #30 #50 .,00 #200 ..-:roo ·200 wasil
Total:
'00.00% 349.5 7U9% 1COU 8100% 204.5 4143% 12U S3.15% 1102 X23% 159.7 1U9% 71.4 U6% 2U 2.75% 3.t
30.11
123(.8
U 19.62% 340.5 72.14% 157.1 tIC).56%
117.7 4S.AI5% 120.6 3t«W. 117.5 27.19% 1115.9 12.62% 83JI 6.26% 30.7 2.115% U
32.5
1275.9
5.J 89.55% 285.5 7S.29% 17S.9 a1J4% 184.9 44.62% 120.11 34.36% 109.8 25.03% 1&0.5 11.39% n .4 4.81% 24.2 2.75% 2.2
30.2
1176.7
100.00% 303.9 76.69% lSS.4 64.71% 216.9 48.14% 147.4 36.83% 130.8 26.80% 191.3 12.13% 91 .6 5.10%
30 2.80% 3.9
32.6
1303.8
8-15
TABLE 8
NCAT
349.5 1«'4 204.5 1216.9 UG.2 159:7 71.4 26.1 3.1
30.11
1234.6
4.11 34Il..5 157.9 117.7 131.6 U7.5 185..11 83JI 30.7 U
32.5
1275.9
5.J 285.5 175..9 184.9 120.8 109.8 1&0.5
77.4 242 2.2
302
1176.7
303.9 1SS.4 216.9 147.4 130.8 191.3 91.6
30 3.9
32.6
1303.8
100.00% 71.69% IICI.OD% 0.43% S3.15% 24.23% U.29% U6% 2.75%
19.62% 72.84Yo 6O.5S% 45.85ro x.«W. 27.11% 12.62% 6.26% 2.IIS%
19.55% 75.2!Wo &O.3C% 44.62% 34.36% 25.03% 11.39% U1% 2.75%
100.00% 76.69% 64.71% 48.14% 36.83% 26.80% 12.13% 5.10% 2.80%
APPENDIX C
• Frequency Figures for Each Sieve Size
o
12.5 MM (1/2) SIEVE FREQ. DISTR. (MEAN DIFF.S)
5/6 MEAN DIFFERENCES WERE WITHIN THIS RANGE
-0.80% -0.70% -0.60% -0.40% -0.30% 0% 0.00%
MEAN DIFFERENCE (PERCENT PASSING)
C-l
9.5 MM (3/8) SIEVE FREQ. DISTR. (MEAN DIFF.S)
2 ~~~~~~1~~1I~~1I~~1~~~
4/6 MEAN DIFFERENCES WERE WITHIN THIS RANGE
/
. _._---- ~y I .- ----_ .
o ++~HH44~~~H4~~++~HH~++~~44++~rH~~~ -0.70% -0.50% -0.30% -0.10% 0.10% 0.30% 0.50% 0.70% 0.90% 1.10% 1.30% 1.50% 1.70%
MEAN DIFFERENCE (PERCENT PASSING)
C-2
Ul W o Z w 0::
2~
-
~1 -o o u. o ~
-
4.75 MM (# 4) SIEVE FREQ. DISTR. (MEAN DIFF.S)
//
5/6 MEAN DIFFERENCES WERE WITHIN THIS RANGE
VV
l£i~~ - ----f-- ----1-- - ----1-- ------I-~
o f---0.05% 0.15% 0.25% 0.35% 0.45% 0.55% 0.65% 0.75% 0.85% 0.95% 1.05% 1.15%
MEAN DIFFERENCE (PERCENT PASSING)
C-3
-
I--
UJ W o Z w 0:::
2.3 MM (# 8) SIEVE FREQ. DISTR. (MEAN DIFF.S)
2 ~~~~~~~~-I'~~-M~6/~6~ME~AN~D~I~F~FE~RE~N~C~E~S~~~~
WERE WITHIN THIS RANGE
~ ._- -~--"--- -- -r- - ._- -- -~-- -- ---~~- -- -c--- -~
G1 +4~+4~~~r+~~4-~~~~~-r~~~~~~~~~ o o LL o =tt
o ~~+4~+4~~~~4-~~~~~+4·~~-~~~~~H -0.80% -0.65% -0.50% -0.35% -0.20% -0.05% 0.10% 0.25% 0.40% 0.55% 0.70% 0.85%
MEAN DIFFERENCE (PERCENT PASSING)
C-4
0.625 MM (# 30) SIEVE FREQ. DISTR. (MEAN DIFF.S)
2 -,----.--,--,-,..-----.--.--.---r-.---r--i---=-6/-:-::-6 -=-ME-==--:-A-::-::N:-=D--=IF==F==E=-RE==N:-::-C==E~S-----r--,..----,----,
tJ) w o z w n:: 51 o o LL o :f:I:
o
WERE WITHIN THIS RANGE
~.25% ~.15% ~.05% 0.05% 0.15% 0.35% 0.45%
MEAN DIFFERENCE (PERCENT PASSING)
C-5
0.3 MM (# 50) SIEVE FREQ. DISTR. (MEAN DIFF.S)
2 ~~~~~~~~~~~~6~/~6~ME~AN~D~I=F=FE=RE~N~C=E~S~-r~-.
UJ W 0 Z w It:: ::J1 I--
0 0 0 u.. 0 =t:I:
1---, I
o ~ -0.05%
WERE WITHIN THIS RANGE
II v J;p
t-- t--- -- --I- -- -- -- -- ---r--I --f- -- -- --1--- --I--
I--
0.05% 0.15% 0.25% 0.35% O.45~ 0.55% 0.65% 0.75% 0.85% 0.95%
MEAN DIFFERENCE (PERCENT PASSING)
C-6
tn W o z w ~
G 1 +--+ o o u.. o =It
o --J!..----+-
0.15 MM (# 100) SIEVE FREQ. DISTR. (MEAN DIFF.S)
6/6 MEAN DIFFERENCES WERE WITHIN THIS RANGE
-- -- -- -- -I
0.40% 0.50% 0.60% 0.70% 0.80%
MEAN DIFFERENCE (PERCENT PASSING)
C-7
til UJ o z UJ 0:=
0.075 MM (# 200) SIEVE FREQ. DISTR. (MEAN DIFF.S)
2~~~~~~~--~~~6~/6~ME~AN~~D~IF=F=ERE~N~C~E~S--~~
WERE WITHIN THIS RANGE
--~-- -- -- -- -- -I 5 1 -1--+
o o u.. o ~
o -&---+--0.00% .30% 0.40% 0.50% .70%
MEAN DIFFERENCE (PERCENT PASSING)
C-8
APPENDIX D
METHOD lWO
* Data Used to Create Figure 6
* Data Used to Create Figure 7
* Data Used to Create Figure 8
* Detennination of Correction Factors Using Analysis Method Two
#8 #16 #30 #SO
#100 #200
SIEVE SIZE 112 318 #4 #8 #16 #30 fiO #100 #200
~~ .. :.·~tQtJ:·. EXPERIMENTAL
SIEVE SIZE
SIEVE SIZE 112 318 tI4
• #18 #30 MiO
#100 #200
FINE FINE FINE FINE FINE FINE
DESCRIPTION
COARSE COARSE
FINE FINE FINE FINE FINE FINE FINE
AGGREGATE DESCRIPTION
COARSE COARSE
FINE FINE FINE FINE FINE FINE FINE
99.66% 70.52%
. 4% 33.61% 24.79% 17.36% 11.32% 7.30% 4.60%
EACH SIEVE SIZE
99.81% 80.17% 59.51% 43.91% 32.09% 22.67% 14.63% 9.16% 5.88%
29.14% 2 . 9 12.23% 8.82% 7.43% 6.04% 4.02% 2.69%
19.64% 20.66% 15.60% 11.82% 9.42% 8.05% 5.47% 3.28%
DATA USED TO GENERATE FIGURE 6
OFlHE PERCENT DIFF.S BElWEEN EXP.
AND CONTROl. SPECIMENS ALL POSSIBLE COMBINATIONS PRECISON
(151.% 0.30 1.51
3 2.12 2.11 1.20 1.19 0.73 0.45
(1SI.%
0.35 2.63 1.97 1.70 2.01 1.94 1.35 0.78 0.45
PRECISION (151.%
1.38 .64
0.60 0A3 0A3 OA3 0.43 0.14
T27 AFTER 1 SPLIT AGGREGATE
ONLY l00PAIREO
TEST RESULTS
PRECISION (151.%
0.95 0.64 0.60 0.60 0.43 0.43 0.43 0.43
PERCENT PASSINCl'ERC NT PASSING NE SIEV SINGLE OPERATOR PRECISION EACH SIEVE SIZE AND RETAINED ON THE A B
98.17% 81.19% 66.56% 41.61% 26.68% 16.92% 8.99% 5.01% 274%
NEXT FINER SIEVE HTO
16.99% 14.63% 24.95% 14.93% 9.n% 7.93% 3.97% 228%
D-l
STANDARD DElMTION T 27 OF lHE AFTER 1 SPLIT
PERCENT DIFF.S AGGREGATE BETWEENEXP. ONLY
AND CONTROL SPECIMENS 100 PAIRED ALL POSSIBLE TEST RESULTS
COMBINATIONS PRECISON (D1SI.%
0.57 1.77 1.8 2.3
2.12 1.72 1.01 0.54 0.29
PRECISION (151.%
COMBIHATiONS PRECISION (D25I.%
0.95 0.6
0.64 0.6
0.43 0.43 0.43 0.14
DIFF. BETWEEN
COLUMN A - COLUMN B
RECISION (1SI.%
.. . a.U:.
·.w.m~,. ..... DIFF.
BETWEEN A-COLUMNB
PRECISION (151.%
If {~
·fA.l 1~~ ... <0 UG" "f~
DIFF. BETWEEN
COLUMN A - COLUMN B
PRECISION 11SI.%
... . .. • WWk EXPERIMENTAL
SI SIZE
SIEVE SIZE 112 a/8 1M II .. 8 130 1150 .. 00 IZOO
~ ·ExPERIMENTAL
S
SIEVE SIZE 112 a/8 1M II .. 6 f30 1150 .. 00 IZOO
SIEVE SIZE 112 a/8 1M 1M .. 8 130 1150 .. 00 1200
AGGREG E DESCRIPTION
COARSE COARSE
FINE FINE FINE FINE FINE FINE FINE
COARSE COARSE
FINE ANE FINE FINE FINE FINE FINE
COARSE COARSE
FINE FINE FINE FINE FINE ANE ANE
99.29% 81.99% 64.10% 41 .67% 29.43% 21.19% 13.53% 7.85% 4.34%
99.79% 74.16% 61.42% 45.51% 35.18% 25.81% 11.86% 5.01% 2.77%
100.00% 75.54% 51.29% 36.74% 26.02% 18.76% 13.00% 8.80% 6.13%
17.30% 17.89% 22.43% 12.24% 8.24% 7.65% 5.89% 3.50%
Cl'ER N ASSINGO AND RETAINED ON THE
NEXT FINER SIEVE
26.64% 12.73% 15.91% 10.33% 9.37% 13.95% 6.85% 2.24%
24.46% 24.M 14.56% 10.72% 7.26% 5.76% 4.20% 2.67%
DATA USED TO GENERATE FIGURE •
SINGLE OPERATOR PRECISION DIFF. A B BETWEEN
r-~~R~3~~rr~S~r-~~AT~Or-~OLUMNA.COLUMNB T27
AFTER 1 SPLIT AGGREGATE
BETWEENEXP. ONLY
(1S~%
COMBINATIONS PRECISON (015),%
0.59 1.91 1.73 2.33 2.97 2.72 1.78 1.2
2.13
100 PAIRED TEST RESULTS
PRECISION (1S~%
0.95 0.60 0.64 0.60 0.43 0.43 0.43 0.43
SINGLE OPERATOR PRECISION A B
AFTER3S AAS 0 STANDARD DEVIATION T27
OFlHE AFTER 1 SPLIT PERCENT DIFF.S AGGREGATE BElWEEN EXP. ONLY
D CONTROL SPECIMENS 100 PAIRED ALL POSSIBLE TEST RESULTS COMBINATIONS
RECISON PRECISION (1S),% (1S),%
COMBINATIONS PIIECISON (D1S),%
0.30 2.35 1.38 2.29 0.60 2.06 0.60 2.04 0.60 1.81 0.43 0.88 0.60 0.38 0.43 0.21 0.14
V~: DIFF.
BETWEEN COLUMN A • COLUMN B
PRECISION (1S~%
"' 1M 1\4 t). .4a '¢U$
.. hl
H·MBOMH - ................. .
DIFF. BETWEEN
~~~nr.~~ .... r-~rr.~Or-'COLUMNA.COLUMNB T27
AFTER 1 SPLIT AGGREGATE
ONLY
F'::..::~==~=t ~: ::~~TS
D-2
PRECISON (D1S),%
0.35 2.63 1.97 1.7
2.01 1.94 1.35 0.78 0.45
PRECISION (1S),%
1.38 0.64 0.60 0.60 0.43 0.43 0.48 0.14
PRECISION (1S~%
MEAN STD.DEV.
MEAN STD.DEV.
MEAN STD.DEV.
112 31S #4 #8 #16 #30 #50 #100 #200
~.17% O.SS% 1.17% 0.54~0 0.30% 1.51% 1.93% 2.12~0
~.5S·/. 1.44% O.SW. 0.14% 0.570/. 1.77% 1.800/. 2.30%
~.03% ~.30% 0.80% O.SO~.
0.30% 2.35% 2.29% 2.06%
0.07% 0.040/. 0.16% 0.20% 0.22% 2.1Wo 1.200/. 1.19% 0.73% 0.45%
0.15% 2.120/0
0.22% 0.16% 0.12% 1.01% 0.54% 0.29%
0.05% ~.21% 0.13% 0.16% 0.06% 2.04% 1.81% 0.88% 0.3So/. 0.21%
D-3
FRANCISCOTTI
511X-2 511X .. ,.,OFF
51eX-3 SlIX.7 ,.,DIFF
Slex-4 5ISX .. %DIFF
RALSTON
S1EVE SIZE NCAT-1 ""MlCAT-4 ,.,OFF
NCAT-2 _CAT .. iDiFF
NCAT-3 n_CAT-7 ,.,DIFF
NCAT-4 na6iS1CAT ... i IFF
EXPERIMENTAL· CONTROL ~ m H ft ffl m _ ~ _
r'.49% 71 .<15% 48.37% 32.88% 2<1.18% 17.23% 11 .32% 7.27% • . 53% EXP.
~:ro~ ~::~~ 4~~1 3~:~~ ~~~ 1~::: HI m: ~J:: CONTROL
~'.41% 88.52% .5.01,., 33.85% 2<1.84% 17.34% 11.30% 7.35% 1(0. 00% 70.25% ".5Z'lI. 33.85% 28~ 11.04% 12AS% 7._
4.73% EXP. 4.80% CONTROL
OD.5li'i :O.73i OASi -0.21% ·' .52'lL -1.71% -1 .15i -0.53% OD.07%
88.78% 81.80% 66.82% 41.02% 20.01% 18.21% D8.18% 78.01% 80.04% 42.78% 27.84% 17.75% .. O'.M 2.'8'5 0.58% -1.741 .. 1.831 -1M"
DB.23% 82.45% 88.90% 43.55% 27.68% 17.58% 88.118% 81 .77% 88.71% 43.18% 28.40% 18.18% :O.4~ 0.fl8i 2.20% 0.36" :a.52" -a.sRl
0.23%
7.58% 7.5B% 0.01%
4.3B% EXP. 4.25% COmOl 0.12%
4.78% EXP.
~:~~ cow;ROl
;1150 "'00 !Zoo 10.02% 8.22%
5.82% 3.01 % EXP. 4.54% 2.43% COmOl
1.81% 1.07% 0.58%
8.048% •. 85% 9.30% 5.04%
-O.82i -0.39%
8.08% • . 55% 8.06% 4.80% o.o,i .0.05%
5.2<1% 5.22% 0.01i
2.44% EXP. 2.5D% CONTROL
OD.15'i
2.58% EXP. 2 83% CONTROL
..a.oK
2.13% EXP. 2.83% CONTROL
VALCOIROCKY MOUNTAIN/CAS PIT:
~ m H ft ffl m _ ~ _ NCAT" 100.00% 71 .E~% 80.00% 43.43% 33.15% 24.23% 11.29% 4.88% 2.75% EXP. NON NCAT-4 100.00% 75.87" 6U8% 1532% 35.54% 28.41% 12.05~ 5.00% 2.78% CONTROL I'IIIFF 0.00% -3.9B% .u8i .1.88% -2.38% -2.25% -0.75 -0.14% -0.03%
NCAT-2 NDNNfAT-I
NCAT-3 NDNNCAT-7
gU2% 72.84% 80.58% <I5.B5% 38.40% 27.19" D' .51% 73.80" 58.11~ 43.30% 33.20% 2<1.21% 0.11" -0.87" lAS 2.55% 3.20% 2.98%
12.02% 10.84~ 1.77
5.28% 4.41% 0.77%
81.55% 75.29% 80.34% 44.82% 34.35% 25.03% 11.38% 4.81 % 88.78% 7Ug 8158% <I5.B9% 38.78% 27.88% 12.5B~ 528% ·;.21% -0.' -1.22% -1.23% -2.43% -2.85% -1.20 -O.4B%
Irwtn Windsor/Slut. Pit:
2.85% EXP. 2.54% CONTROL 0.31%
2.75% EXP. 3.03% CONTROL
'II tiFF -0.22% ::0. -1.3* 1AB% .16i 2.211 l.sQi 1M'" 1.iii
NCAT-2 MAS% B2.21% 80.11% 42.84% 30.08% 2O.BO% 13.37% 1.47% NDNNCAT-I !!i7l!!! BU,% 80.27% 44.14, 31 .Bl% 22.03% 13.90% e.~ % DFF :;;2ii 0.56% -0.16% .1.50% • . 75% -1.23% -0.54% .0.iDi
5.58% EXP SA8% CONTROl .11%
NCAT-3 I~.OO% 7B.88% 58.50% 42.B7% 31 .01% 21.78% 14.02% e.78% 5.58% EXP NDNNCAT-7 l~t .. ooOO! 75.87% 58.85% 42.1n!! 3018% 20.1B% 12.33% 7m 4.87% CONTROL % DIFF " ~3.02% 1.85% o.7ii O.Bl% 1.5&'11 1.88'11 1 .~ 0.81%
IlCAT-4 11).).00% 71.80% 00.76% <15.83'1' 33.53% 23.71% 15.34% 8.88% 8.25% EXP ~ND~N~N~c:.-.:!Ur"::!!..-I!p;!'iA~9%~_B!!l0~.3~7%~.....!!!eO!<!.8~8%~~44~.!!B2f:l%~.:!33~.~32f:l%~-,,23~.!~I~%~...!1;4.~n~%~...,80!,! .. 884~2~~f-...,50~.'~~0!:ll~~CONTROL 'II DIfF ~.89% -0.77% -O.oa% 0.81% 0.21'11 020% O.~% ~ • ~
D-4
FRANClscom
51ex-1 SISX" %DIFF
SlIX-2 Slex-1 'l\DlfF
SlBX-3 58ex .. 'l\DlfF
SIIX-4 58IX-4 \\DIFF
SIEVE SIZE NCAT" non-NCAT..a I'IlIFF
NCAT-2 noMiCAT-7 "DIFF
NCAT-3 ~T-I
NCAT-4 nooWlCAT-4 %biFF
8Ul% M.52% 45.01% 33.85% 2<1.84'11 17.34% ".30% 100.00% 88.58% ".28% 31 .Bl% 23.13'11 15.02% lOAO%
0.00% .1iS% .1 .32% -2.18% -2.47% -2.00% .1.1B%
100.00% 70.88% <15.83% 34.17% 2S.88% 11.11% 11 .83% 88.5&% Bi.81% 42."'11 30.8B,., 22A3% 15.40% 879% 0.4'% .04% 3.40% 3.48% 3.25% 2.71% iOri
112 3/1 M II "'I 1130 ~O 87.80% 78.72% 65.03% .1.77'11 27.83i 1B.37'11 F.02'11 8B.98'11 71.61% 68.04'11 42.78% 27.84% 17.75,., 830%
98.78% 81 .80% 6B.62% 41.02% 26.01% 1829% 89.0B% 79.68% 88.05'11 39.70% 2<1.77% 15.39% .U2% 2."i 0.57% 128% 124% Old'lL
1B."'11 80.76% 85.8811 40.10% 24.11% 15;12% 8B.88% BI .77% e8.71% 43.1B% 28AO% lB.15% :0.58' -O.99'1& -1.02% 0.3.08% -3.49% .2.731
-0.851 4.5~ 4.72" 3.58% i741 1.91%
8.4B% 8.0B% Uoi
8.08% 9.4B'II
-1.39%
B.35% B22% 1.13%
7.59% B.I8% U2'i
",aD 5.62'11 5.04'11 0.57%
4.85% 4.80% 0.05'1
4.55% 5.22%
.o./lji
5.2<1% 4.54% 0.6li'i
• . 73% EXP. 425% CONTROL UBi
4.38% EXP. j:~1 CONTROL
4.78% EXP. 3.7B'II CONTROL
mo 3.01% EXP. 2.58, CONTROL 0;13%
2M% EXP. 2.83% CONTROL
-0.111%
2.58% EXP. 2.83~ CONTROL
-0.2
2.B3% EXP. 2.43% COHllIOL d.gOi
SIEVE SIZE 112 3/1 H II "'B 130 iII50 "'00 !Zoo NCATOO1 100.00% 71 .88% 80.00% 43.43% 33.15% 2<1.23% 11 .28% 4.88% 2.75'11 EXP. ~CAT-I 88.51'% 73.89% 58.11% 43.30% 33.20% 2<1.21'11 10.84% 4.49, 2.54'11 CONTROL
NCAT-2 non-NCAT-7
9/1.62% 72.84% SD.58% 45.85% 3BAO% 27.18% 12.82% 5.2B% 2.B5% EXP. 3.03'11 CONTROL
'IIDIFF 98.78% 7Ul% 81 58% 45.8R 36.79% 27.8B% 12.5B, 5.2D'II
-O.lB'II
NCAT-3 88.55% 75.28% 80.34'11 ".82% 34.36'11 25.03% 11 .31% 4.11% 2.75% EXP. ~n~o~~~CA~T~"~...!1~00~.oo~%f-~n~8~1~'~~8O~1~3~%~~"~.~37~'II~~35~~~0~%~-,,25~.7f.1~%~...!I~IA;3~%~-;4.~81~'II~-420·.~8818~~~CONTROL I'IIIFF -0.45% 2.4B% 0.21% 0.29% -0.84'11 .o.e9% .0.04% 0.20'11 ~
NCAT-4 100.00% 7B.89% 84.77% 48.14% 38.83% 2B.BO% 12.13% 5.19% 2.80% EXP. non-NfAT; 100.00% 75.87% eua% 45'iR 3554% 28;18% 12.05'11 5.~ 2.76% CONTROL "DlFF d.oo" 1.02" 3.09i1 2.8P 1.29% 0.31% 0.08% D.lF 0.02%
NCAT-1 n_CAT" %DIFf O.OB% .UB% -1.12% 0.35 1.95% 2.38% usi 1.18% 0.61%
NCAT-2 111.<15'11 8221'11 80.11% 42.84% 30.08% 2O.BO% 13.37% n.~CAT-1 100.00% 75.87% 58m 42.17% 30.18% 2O.1B% 1233% I'DIFF -0.55% e.33'11 3A 0.48'11 -0.1.% 0.62% 1.04%
8.47% 5.58% EXP 7 AI!'! 4.87% O!?HTROl 1.01% 0.82%
NCAT-3 100.09% 78.8B'II 58.50% 42.87'% 31.01% 21.78% 14.02% B.78'11 5.5B% EXP
~~~.DFF~~~CA~r~-I~-I!~~~~0%~~~~I!a~7~:~~~~0.~;~~%~~~~I:~:~:~~~~i~:~~%~-"~~I:~~~:~...!~;4.~~f.':~--O~B~:~~~:~~~~~~~~CONTROl
NCAT-4 100.00% 78.80% 80.76% 45.83% 33.53% 23.71% 15.34% ~On-NCAT06 100.00% 80.87, 598f% 43.01'11 31.60% 22.14% 13.B8%
DIFF 0.00% .1.08% 0.1t% 2.82% 1.93% 1.58% 1.46%
6.25% EXP 4M% CONTROL 1.28%
snx.1 SHI-7 \I iliff.
SHX-2 SIIX-I 110M.
5111--1 5111-5 IIODFF.
snx~
5"1" % blFF.
RALSTON SEVEIIZE NCAT-1 -..:AH %DFF
NCAT-2 non-NCAT .. ibFF NCAToI !!D!!=I!CAH
m m ~ • m _ _ _ _ I"lAB" 71.45" 48,37'IL 32.88'" 24,18'" 17.23" 11 .32% 7.27% 4.53" EXP.
100.00" 'ill" 44.211'l1 31 .Bl'" 23.13'" 18.D2" Ig~~1 8.75% U~ CONTROL • 031110 . 110 2.11'" 1.07% 1.64% 1.21% 0.52% .
Ei ,41% 119.52'IL 45,01% 33,115% 24,84'" 17.34'" 11.30% 1\1.72% 71.11% 47.45'" 35,111'" 28,84'" 18.711'l1 12.00% -\1.31% -UO% ·2AS% -2.2ri -2.10% -1.44'" OlI.l)41O
100.00% 70.88% 45._ 34.17'IL 2Uow. le.l1% 11.83'11 100.00'11 70 Rl 44.52'IL 33._ 28.38% 18.04'" ~:n~
&.00"" D. 1.314 0.31" -0.it4 .0.83%
7.35% 7.58%
-lI.23%
8._ 8.1A D.81%
lIZ m ~ .. ",. no _ ", .. 87.5Oi 79.72% 85.03'" 41.77'" 27.93'" lU7'" 10.68 5.12% F'.08% 7S p'll 00 05'IL 38,7A 24.77'IL 15.311'l1 ffi 4 -
Si.7A IUD'll 00.12'IL 41.02% 28.01'" 18.29'" 6I..1,g'll 81 .77% 88.71'" 43.111'l1 29AD'II 18.15'11
•• 08% 0.03% -lI.09% -2,111'l1 -2.:18% -UBi
6!.11% 8O.711'l1 85._ 40,10% 24.81% 15A2% G<08% 77;" 84.1B'IL 38.S7'IL 25.~ IS§; -t'.bi 2~i 1.5Oi 0.12% -0. -0
~!.23" 12.45" 88.90% 43.55'" 27.BB% 17.59'" '!._ 78.a" 88.04% ~ 711'l1 27.84'" 17.75'" -".73'" 2. 'II 2.87%.76% 0,04'" -O,IB'"
BAS% GAI%
-1.00%
8.0S'IL
JiR 8.35" 8.30" 0.05"
4.85% 5.22%
::a.57" 4.55% 4.54'" 0.00%
5.24'11 5.04'" 0.1e"
4.73'" EXP. 4.(low. CONTROL O.tIri
4.3A EXP. HR cafTROL
4.711'l1 EXP. j:~ CONTROL
11200 3.01% EXP.
HR CONTROL
2.44'" EXP. 2.B3'" CONTROL
::O.SII
2.58%EXP. 2.m CONTROL 0.1 'II
2.83" EXP. t.511" CONTROL .35%
VALCO/ROCKY MOUNTAINICAS PIT:
"D 0.24'" -3,72'IL -1.57" 743" -3. -3.45% -1 .2S'IL -lIA3% -lI.29"
NCAT-2 ' •. B2'IL n,84'" BO.511'l1 45.85" 3UO% 27.111" 12.12% 5.2A 2.85" EXP, ~n~.~~~ca~T~"~~1~00~OnO%~_n~,B~I~"'~~80~.1~3~%r-~44r.~'7="r-~35r'T.00%~~25T7.n~'IIr-~1flA3~%r-~4.~Bl~"'r-~2.5~B~%~CONTROL % OFF -0._ 0,13'11 OA3% 1,411'l1 1.40% lAS% 1.1B'IL 0.B5% 0.28%
NCAT~
~T" 100.00'11 7U,% 84.77% 48.14% 38.83% 2B.80% 12.13% 51.51% 73._ 58.11% ~ 1£% 33,20% 24.21% 10.84% 6.4K 2.th 5.88% . i i8Si 2.58i t.M
Irwin W1ndeorlstute Pit:
4.81% 5.00%
-lI.I8%
5.10% 4.4B'IL 0.81%
2.75% EXP, J$R CONTROL
2.10% EXP.
~~ CONTROl
NCAT-2 '~.45'11 82.21'11 80.11% 42.84% 3O.0B% 20,BO% 13.37'IL SA7'11 5.50% EXP i~Fi!ii;i'",T"''':''''-'irlri·_*,--,80'7'i·3;,;7'IL~_B07!.88mi%:-,>;~!'.!n2%~--=;33i'i.3;;2;;%r-..,23~, 59;lii"'r--,14r·7i;1ii"'r--:8~':r.82!i%r--f5.3:\~'IIz.CONTROL 'i1iiFF G.D4% 1.83% -lI.75% :2.1A -3.28% -2.71% -1 .34% -lI.35'11 0:8%
NCAToI l Cl;.oo% 7B._ 58.50% 42.87l1 31.01'" 21 ,7A 14.02'IL ~T-5 lC-J.OO% 80.87% 59:!a ~ 01% 31.80'11 22.14% 1~:fR
;;.00% -1.77'" -1.13" -lI.80% -lI,38'"
hi#
I S .DO% 78.80% BO.7II'lI 45.83% 33.53% 23.71% 15.34'11 ;;.7Il% Bl.84% 80.27% 44.14% 31.81% 22.03% 13._ 630i -16411 0,51% 1_ l.m l.M fA%
5.50% EXP tIl CONTROL
8,25% EXP 5_ CONTROL Uri
0-5
m m ~ • m ~ m _ _ 581X-t 59IX ..
88.48% 71.45% 41.37'11 32.88'11 24,18'11 17,23" 11.32'11 7.27'IL 4.53% EXP.
%DFF.
5HX-2 snx-5 llliFF.
88.72'IL ~ 11'11 47.451 3~.01'11 28 94% 18.78'11 12.00'11 7 SA j 11% CONTROL OlI.S , % -1.00 - .03'11 -2,78% -1 .55% -0.67", -lI.31'11 • %
511X-3 581X" 'II DIFF.
snx~
5"1-7 'II DIFF.
'IIDFF.
NCAT-2 nan-NCAT-5 %DFP.
NCAT..J
~T"
NCAT~ _CAT-7 %DFF.
88Al'" 88.52% 45.01% 33.115% 24,84% 17.34% 11.30% 88.68'5 87.Bl% 42.44'" 30.88% 22,43% 15AD% 1I.7II'lI -lI.lri Uri> is" 2.88% 2Al% 1.94% 1m
88.73% 70,47'IL 41.14'11 33.n'll 24,48% 16.77% 10.82'11 100.00% ll! 25'11 44.52'11 ~._ 28,39% 10.04" 12AS% ..o.2~ 11.22" u'2i :0.,41 -1.I~i -2.27" -1.13%
100.00% 70,88% 45.83% 34.17% 25,(;J% 18.11% 11.83'11 100.00% II!! 58% 44.22) 31.11'11 23,13" lB.02'IL 10AO'lL
0.00% ,.O,,~ 1.51li ~.364L 2.51" 2.09% 1.42'1.
1II.7A 11.80% 88.62'11 41 .02% 28.01'" lB.21I% 88.01l'll 77.113% 114.19'" 39.87% 25.14% 15.68% ::0.3215 SolN 2043% , .05% 0.88" 0.&1"
BAli'll 8,22% 6,2ri
-lI.85'11 1.1 N: -lI.35% -2.87% -2.B3 -2.l2'IL - ,
-lI.8A i.iii 2.85 3,711'11 3."% 2.19%
UK B,OIl'll 1.27'IL
7.35% B.ll1'l1 1.1B'IL
8.911'l1 7.BB%
-lI.90'll
7.!i8'II 8.75'" 0.84%
",00 5.82% 5.22% 0.38%
4.85" 4.54% 0.11"
4.55% 5.04'11
-lI.48%
5.24'11 4.80'11 0.84%
4,73% EXP. 3.711'l1 COKTROL 0.95'11
4.38% EXP. j 80'11 CONTROL
.421
4.78% EXP. 4.25'11 CONTROL oJh,
'f00 .01% EXP.
UR CONTROL
2.44% EXP, 2A3% CONTROL 0.01%
2.58% EXP. 2 __ CONTROL
-0.03'11
2,93% EXP.
~:i: CONTROL
~_m m ~ • m _ ~ __ NCAT-t 100.00% 71 ,_ 80.00% 43,43% 33.15% 24.23'11 11 .28% 4.88% 2.75" EXP. non-NCAT.. 100.00% ~ V! 80.13" 44,37'IL 35.00% 25,71% l1A3% 4.11" 2,m CONTROL "DFF. 0.00% -:T.m -0.14" :0.84'11 -US'll -1.48% -0.14'11 0.25% a,friO
NCAT-2 S9.62'11 72.84% 60.58'11 45.B5'11 38.40% 27,1"' 12.82'11
~~~T-5 1~:~: ~~~ ~::~~l 4~,~ 3~:~ ,:~: 1~:~~: NCAT-3 _CAT .. "DIFF.
NCAT~
='7'N
88.55" 75.2S'IL 80.34'11 44.82% 34.3B'IL 25,03'1\ 11._ 88.51" Z; II 59.11'11 43.30% 33.20% 24.21% 1s:m 0.04%. 1.23" 1.33% 1.1H 0.62%
5.28% 5.00% O.ze'll
4.11'11 4_ 0.32%
5.10% 5.29%
:a.1ft
2.85'11 EXP. ~ 1,'11 CONTROL
,0 %
2.75% EXP. 2.54% CONTROL 0.21i
2.BO% EXP. 3.03% CONTROL
Ob.2N
m m ~ .. m m m _ _ 88.7B% 78.l1A 58.85% 44.50% 33.7A 24.42% 15.79% 9.73% 8.10% EXP 98,40% III 37'11 80._ 44.82% 33.32% 23.51'11 14.71'6 B.B2'IL 5.34'11 CONTROL O.'7'IL ~.30'll -2.21'11 -0.33'11 0.44% 0.91'11 1.08% 0.91% 0.75'11
NCAT-2 S8AS% B2.21'11 60.11'11 42.114'11 30.08% 20.80'11 13.37% n.~CATi 100.00% BO~% 59.87'" 43,01% 31.80% 22.14'11 ~:II %DFf. -lI.55% 1 'II 0.15% -lI.3B'II -1 .55% -1.34%
NCAT~ 100.00'11 711,BO% 80.78'" 45.83% 3'.53% 23.71% 15.34% nan-flCAT-7 100.00% 75.87% 58.85% 42.17% 30.19% 20.1A 12.33% Ud!f. o.Obi 3.13% 4.13% Uri 3,:£1% 3.53'11 3.01%
8.47'IL 8.29'IL 0.111'l1
8.7A 8.57% 0.19'11
8.86'11 7.4A i20%
5.B9'11 EXP 4.88'11 CONTROL O.Bl'11
U8% EXP ~11 CONTROL
8.25% EXP 4.B7'11 CONTROL U7%
MONK PIT;
SlEVEIIZE lIZ :1/1 1M fII f1' - 150 f1aa l!2aa SIEVE SIZE 112 311 1M fII !II 1130 lr.~i f1ao ,,~% EXP NCAT01 &iA7% 82.21% 62.56% 38.03% 25.14% 17.44% 11.Hi 6.521 3.17% EXP NCAT-t AUbi 82.21'11. 52.51ii 38.03% 25.14" 17.~" 8.52% NON NCAT06 &c.5O% 12,~% 82.74% 41A0% 28.80% 20.64'11. ~.~ 7.88% 3.72'11> CONTROL non-NW" 89.24'11. 78.83'11. 63.42'11> ~3,15% 31.80% 23.12% 14~ 8.27% ~ 13% CONTROL % OFF .0.03% 2. 2% -0.18% -3.37% -3.78% -3.10% -1.14% .0.55% % IlIFF 0.24% 3.38% .o.81ii ~.11% -ulii -5.89% -3. -1.74% - A8%
NCAT-2 S!.53% IIU1'11. 85.02'11> 42._ 3O.1!O'II. 22.64% 14.711% U7% 7.81% EXP NCAT-2 88.53% 83.61'11. 85.02'11> 42.88% 30.80% 22.54% 14.78% 8.57'11. 7.81% EXP NONNCAT06 5<.24'11. 7U~: 83.42'11> 43.15% 31 .60'11. 23.12'11> 14.~ 8.27'11. 3.83% CONTROL nor>N:AT:l 118.5Q'11. 82.73'11. 88.32'11> ~2Al% 28.37% 18.88% 12'm 7.28'11. 3~% CONTROL % OFF -0.71'11. 1.59% -U7% -0.80% .0.59% .0.0 1.30% 4.27% %DlfF .0.08% 0.88% -1 .31'11. 0.27% 2.43% 2.B7% 2. 2.29'11. 4 6% .';>
NCAT-3 5i,16'11. 81.88'11. 84.78'11. 43.70% 31.90% 23.41% 14.84% 7.91% 3.14'11. EXP NCAT'" 89.16'11. 81.611% 84.711% 43.70% 31.90% 23.41% 14.84% 7.91'11. 3.14% EXP !!ONNCAT.7 98.59'11. gz.I;l'll. 66.3~ 42.41% 28.37% 18._ 12~ 728'11. 3,55'11. CONTROL non-NCAI" 89.50% 78.511% 63.64'16 42.Bl% 30ABli 21·Bl% 1~:HI 7.811% 3,23% CONTROL "OFF D.57'11. ·1 .05'11. -1.5 % 1.28% 3.53'11. 3.74% 2. % 0.83% -0.41'11. %DlFF .0.33% 2.10% 1.24'16 0.B9'16 1A2'II> .59% 0.211% .0.08'11.
HCAT-4 100.00% BU7% 84.06'11. 42.26% 211._ 21.37'11. 13.~'16 7._ 3.15'11. EXP NCAT-4 100.00% 80.47% &1.06'11. 42.28% 28._ 21 .37% 13.44'11. 7._ 3.15% EXP _NCAT .. 99.50% Ie ~8'% 83.54% 42.81% 30..111% 21.81'16
137R I 611% 3.23'% CONTROL non-N~ t1.50'16 B008'16 82.74'16 4~~ ~B,8gl 20.54% 13.15'16 7.811% 3.72'11. CONTROL
% OFF ; .50% O. ri 0.52% .0.54'11. .0.50% -0.45'16 .0.2 .0.28'11. .0.08% %DlFF 0.50'16 0.37'16 1.32% .B7'16 0.88 0.83% 0.28'Iro .0.211% -0.58%
PAGOSA TROUT L.JJ<ES 15 POSSIBLE COMBINATIONS PAGOSA TROUT LAKES 15POSSBLECOMB~TIONS
112 W 1M .. f11 1130 150 f10a ma 112 311 1M .. f1' 113' 151 f1aa -NCAT-4 1~:;.00% 71.34'% 52.40'11. 35.85'16 25.35% lB.28% 12.53'% 8.311% 5.B3'% EXP NCAT..c 100.00% 78.34% 52.40% 35.85'11. 25.35% 18.28% 12.53% 8.36% 5.83% EXP NonNCAI-1 5 •. 74% 7350% 48.45'16 33.21'16 ~:~t 16.08% p.08% 7.57% Uil CONTROL Non NCAT-3 88.46% 72.27'16 47.85'11. 32.01'11. 22.27% 15.76'16 10'01 6.97'16 4.74'16 CONTROL t blFF b.2h l.W 8.SH BOt 2.191 lAW o.1K +lb.' b.SON 4.01'11 4.as4 3.U" !i.&' 2.55% I. 1.§§'kI i.oK
NCAT~ 100.00% 74,93% 5U6% 37.58'% 27.07% 19.71% 13.81% 8.~'16 8.81% EXP NCAT~ 100.00% 74.83'11. 50.4B% 31.58% 21.07% 19.71% 13.Bl% 8.~% 8.81'16 EXP NonNCAT-i 88.- 7!._ 54.75% ~1·27'II. 28.60'11. 21.25'16 14.52'11> 9.84'11. ~m CONTROL NonNCAT-l 88.74'11. ZHit 48.45'11. 33.28'11. 22.75% 18.08'11. 11.08'11. 7.57'11. 5.33'11. CONTRO~
" DIFf aiR -136% ..c.29% -3.tn. -2.53" .1 .5& .o.71i .o.2ili -. " %DFF 0.21ii l .Ol'11. 4.33% 4.32i 3.62'J6 2.72'11 1.87% 1.27"
NCAT .. 100.00% 75.65'11. 51.00% 31.76% 25.83% 18.28'16 12.85'11. 8.59'J6 5.84% EXP NCAT-6 1oo.liil'II. 75.85% 51.00'11. 38.76'16 25.63" 18.28'11. 12.15% 8.50'11. 5.94'16 EXP
NonN~~ ~~, 72.27'16 47.95'11. ~2.01'11. ~271 15.76% 10.59'11. 1.87% t.~% CONTROL NonNCAT·2 gg.B~ I6;'II. 54.75'11. 41 .27% 28.60'16 21.25'11. It·52l 8.84'11. 8.13'11. CONTROL 'II.bl 3.38'11. 3.05'11. 4.75" 3.36 2.54'11. 2.0S" 1.82" . 0" 'OFF 0.2 -1 " -3.75'11. .... 51'16 -3.97" -2.96'11. - .87 ~1.o5i ::O.il8'11.
D-6
MONK PIT:
a '!III 112 rBi" ON II 2~fl% I\I3D H.f1i ... 00 ruD SIEVE BIlE 112 8~li ON II .... I\I3D IISD ",DD l12aa ~..., ' •. aN 62.56", 38.03% 17.44% B.52% 3.17% EXP NCAT01 89.47% 82.581 38.03% 25.1 .... 17."% 11.11 ... 8.52% 3.17% EXP
~y.z G!.59% 8a~r' 86.32% 4~t% 28.~~ !~ 12.50% 7.28% 3'R CONTROl IIII/WICAT .. 89.50% 7~.11 83.54% 42.Bl% 30.48% 21.81% 13.73% 7.66% 3.23" CONTROL 0._ .0.2" -3.78% -4. " -3.23 ·1~ .0.78% .0. % DIFF .0.02% .0._ -4.78% -5.34% -4.3B" -2.82% -1.13% .0.08"
NCAT,z Ge.53% 83.111" 85.02% 42.88% 3O.11K 22.54% 14.78% 8.57% 7.81% EXP NCAT,z Ge.53% 83.81" 85.02% 42._ 30_
22.54" 1 •. 78% 9.57" 7.111" EXP n·~I" Q.'.50'110 7!.m 83.54" ~~ ,1" ~~ 21.81% 13.73" 7._ HJI CONTROl
.....-:AT -6 88.50'lI0 80 !!!!! 82.741 41.40'lI0 28._ 20.54" lNtl
7.88" UR CONTROL 'II.DIFF -".97'110 .04% 1.48% -D. 3% 0.72% 1.03" 1.91" " DlFF .0.97" 3.52% 2.28 1.28" 1.90'lI0 2.00" 1.91"
NCAT-3 8U.I8% 81 .88" 64.78% 43.70% 31.80% 23.41% 14.84" 7.91" 3.1.% EXP NCAT-3 99.18% 81.88" 84.78% 43.70'lI0 31.80% 23,41% 14.84" 7.91% 3.14% ExP .....-:AI:i '9.50'lI0 BO 08'11 82.74" 41 .40'lI0 28.~ ~.54'11. 1~:J~ 7._ 3.72% CONTROL _AT .. 88.24! q13" 831R 43.15" 31 ._ 23.12%
ltil B.27% 1m CONTROL
"DFF -lI.34" 1.5l1'li 2.04" 2.30% 3. .87% 0.25% .0.- %DtFF .0.07% .65% 1. 0.55% 0.30% 0.28% .0.35%
NCAT-4 100.00'lI0 BO,47'110 84.08% 42.28% 29._ 21.37% 13,..% 7._ 3.15% EXP NCAT-4 100.00'lI0 BO.47% 84.116'1' 42.28% 29.88% 21.37% 13,..% 7._ 3.15% EXP nol>ll!;!I:I GD.24% 79.13% 83.42% 43.15%
31'1 ~~2! 14H! B.27'11o 3.83% CONTROL .-.NCAT ... 8B.59! !~.nI 86.32% .2.41% 28.37% 18.88% 1~:R 7.26% 3.55% CONTROL %DFF 0.7B% 1.84% 0.64% .o.B8% -1 . :.8% -1. 'II. .o.B8% -0.48% 'II. DIFF 1.41% -2.27'110 .0.15% 1.50'lI0 1.70% 0.10% .0.40%
PAGOSA TROUT LAKES 15 POISIIi.E COMIftATIONS PAGOSA TROUT LAl<ES 15 PO_LE CDMBlNATIONS
112 3/1 ON II .... I\I3G IISO "'00 Iloa 112 3/1 ON II .... 1\130 iii' "'00 11200 NCAT-4 lCO.OO" 76.34% 52.40% 35.85% 25.35% lB.26% 12.53% 8.38% 5.83% EXP NCAT-4 100.00% 79.34% 52.40% 35.85% 25.35% lB.28" 12.53% B.38% 5.83" EXP
Non~I-Z a8.BO" 7UII'IIo 54.75% ~H; !.il Y:~; lU2% 8.84% Ja CONTROL NonF-Z DO.7a% 78.37'110 56.00'lI0 3Ul% ~Hil 20.00% 13.82% B.91% :Utl CONTROL "61 biDi :O.BfiI -255% -i.BK -1.21i \lOb di1'i :s." :S.8M -Dd% -1.1il .1.69'1 ::0,55'.4
NCAT-5 lCO.OO'IIo 74.83% SO.48% 37.59% 27.07% la.71% 13.81% 9"'% 8.81'" EXP NCAT-5 100.00'1' 74.83% SO._ 37.59% 27.07'110 18.71'" 13.81'" 9"'% 8.81% EXP
Noa~~ S9._ 72.27% 47.851 ~01% 22f% 15.78% 10.59% 8.97'110 t~ CONTROL Noa~T-8 100.00'lI0 79.03% SO.I2% ~.2glf! 24.3~ 17~ 11.114'" 7._ 5M CONTROl "'DI 5.5111 Bri 2.52 .5il 4. ,,. 3.85'" 3.221 2.47% 'II DI 0.601 :tI.40'i> 0.35% . 39" 2.7 2. 1.S" 1.45% O •
NCAT-8 lCO.OO'" 75.65'" 51.OD'II 35.75% 25.83% lB.29'" 12.85'" B.58% 5.114" EXP Noa~-l GD.74'" 73.50'lI0 4B.45'11 ~U~ ~'il
lS.on. 11.on. 7.57% ~ 331 CONTROL 112 3/1 ON .. .... iI3I ilISD "'00 1100 ",bIf m", £iii", 4.54% 2.20'1' 1.fi 1.02% .81 NCAT-4 100.00'lI0 78.34'" 52.40'lI0 35.85" 25.35% lB.2ft, 12.53'1' 8.38% 5.83'1' EXP
Non~:! 100.00'1' 75.03% &0.12% ~iR ~R 17.4II'IL 11.114'" 7'- ni: CCMlIOl 'II DI 0.00'1' 1.31% 2.28 ... 0.7li'ii0 0.5li'ii0 0.37'110
NCAT-5 100.00'" 74.83" 50.45% 37.59% 27.07% 19.71'" 13.Bl'" 9.44% 8.81" EXP NonNCAT-7 98.78% 79.37" 56.0D% 38.151% 27.73% 20.00'lI0 13.82'" 8.91% 5.34" CONTROL
" DiFF 0.21'" -4.75'" -5.54 ... -1.02% :a.Sri :a.28'I' 0.2D'1' 0.53% 6.27'"
NCAT-e 100.00'1' 75.85'" 51.00'1' 3e.78% 25.83% 18.29% 12.85'" 1.5li'ii0 5.114'" EXP
Noa~~I-Z 99.78'" 79.37% ~:~I 3B 9% 27.73% 20.00'lI0 13.821 8,!!1% 6.34% CONTROL U 0.21% -3.73'" -1. 'II. -2.10'lI0 -1.71% .0.95 .0.33'" -0,40"
NCAT-e 100.011% 7U5% 51.00% 38.78% 25.53% lB.29% 12.85% B.58% 5.114" EXP NonNCAT-8 100.00'lI0 75.03" 50.12% 34.20'1' 24.37'" 17.41% 11.~ 7.DO'1' 5.84% CONTROL %DlFF o.OiriI o.iS d.H iSH I1ri 0.80% O. D.,,", 0.3O'i>
0-7
DATA USED TO GENERATE FIG. 1
FRANClSCOm CONTROL ONLY
112 318 /14 (j8 116 1130 !¥SO 1100 #ZOO 1.38% 1):.l)W;,
" DIFF. -0.41% ·2.83% ·2.08% ·3.18% ·3.93% ' 3.84% ·2.66% · 1.71% ·1 .02"- 0.84% {.,t'I"4', 0.60% , ~~,
0.43% 1~: 0.43% ~~,
" DtFF. -0.41% ·1 .97% -1 .82% -1 .13% -0.69% .().62% .().62% '().59'16 .().47'16 0.43% H~:: 0.43% ii=~:
0.1." .li:,~.i!* % DlFF. -0.13% -3.SO% -5.02% -5.23% -4.51% ~.38'16 -2.21% -1.42"- -0.91%
" DIFF. -0.00% 0.66% 0.26% 2.05% 3.24% 3.02% 2.04% 1.13% 0.55%
% DlFF. D.26'K -0.87% -2.93% -2.05% -0.58% 0.27% 0.45% 0.30% 0.11%
" DlFF. 028% -1 .53% -3.19% ·4.10% ~.81% -2.76% -1 .59% .().83% -0.44%
MEAN -0.07% -1 .84% -2.46% -2.27% -1 .71% -1.18% -0.77% '().52% ·0.36% Slll.DEV. 0.31% 1.45% 1.75% 2.57% 2.96% 2.59% 1.78% 1.07% 0.60% RALSTON
RALSTON A B DIFF. RALSTON AASHTOT27 A-B
112 :!II .. (j8 116 '"" !¥SO 1100 1n00 STD.DEV. (I!!) STD. DEV. (IS) 021% 1.20% 0.95% ~i
" ilifF. 0.12'11 ·1 .68% ·1 .85% -2.79% -2.71% -2.07% -1 .08% -0.50% -0.16% 0.96% 0.60% iIl3~, 2.51% 0.64% l~: 2.59% 0.60% i~ 1.98% 0.43% ~~,
" DIFF. -0.00% -1 .75% -1 .86% 0.21% 0.36% 0.28% 0.13% .().05'16 ·0.21% 1.01% 0.43% I.I~: 0.43% 0.43% :.0-:116%: 0.12% 0.14% A~~:
" DIFF. 0.39% -3.83% -2.52'16 -3.20'16 ~.26'16 -2.48'16 ·1 .26% .().68'16 -0.40%
" DIFF. -0.12% -0.08% .().01'16 3.00'16 3.07% 2.35% 1.22% 0.45% .().05%
% DlFF. 0.27% -2.16% .().67'16 -0.42% -0.56% -0.41% -0.18% -0.18% .().24'16
,. ilifF. 0.39% -2.08% .().S6% ~.41% ~.83% -2.76% -1.40% -0.83% -0.19%
MEAN 0.17% -1 .93% -1.26% ·1 .10% -1.12"- -0.85% .().43'16 -027% -021%
Slll.DEV. 021% 1.20% 0.96% 2.51% 2.59% 1.98% 1.01% 0.43% 0.12% VALCOIROCKY MOUNTAIN/CAS'
A B DIFF.
VALCOJROCKY MOUNTAIN/CAS PIT VALCO/ROCKY MOUNTAIN/CAS PIT STD. DEV. !1~ AASHTOT27
0:36% STD. DEV. 11!!) 1.63% 1.38% .O'~,
112 318 /14 (j8 116 !\GO !¥SO 1100 1200 1.86% 0.60% ~~: " DlFF. 0.4S'I!o 1.77% 2.570;4 2.02% 2.34% 2.26% 1.20% 0.51% 0.24% 1.74% 0.60% ' 1,,~:
2,28% 0.60% ~~~, 2,24% 0.43% ~~,
1.17% 0.60% ~~, "DIFF. 0.24% 0.26% 0.12% -0.54% -1.25% -1 .19% -0.54% -0.29% ·0.25% 0.56% 0.43% ·It·~~:
0.35% 0.14% M~~:
%DIFF. -0.00% 2,86% 1.55% 0.95% 0.54% 0,78% 0.62% 0.38'16 0,22%
%DIFF. -O.25~' -1.51% ·2.45'16 -2,56% -3.59% ~.47'16 ·1.74% .().80% -0.49%
% IIIF~. -O.49~i 1.09% -1 .02% ·1 .07% -1 .80% -1 ,50% -0.58% -0,13% .().02%
'I6DlFF. -O.24S 2.60% 1.43% 1.49% 1.79% 1,97% 1.16% O.SS% 0.47%
MEAN -0.04% 1.18% 0,37% 0.05% -0.33% -0,19% 0.02% 0.06% 0.03% STD.DEV. 0.36% 1.83% 1.86% 1.74% 2.28% 2.24% 1.17% 0._ 0,35%
0-8
IRWINI WINDSOR I SnrrE IRWINI WINDSOR I STUTE
112 3/8 #4 tIS #16 130 #50 #100 #200 A B DIFF. IRWINI WINDSOR I STUTE STD. DEY. ('Sl AASHTOT27
%DIFF. 0.:;0% -0.98% -0.30% -1.14% -0.21% 0.12% -0.02% -0.28% -0.50% 0.35% STD. DEY. !'Sl 3.79% 0.95% 1~: 2.93% 0.64% is: 1.72% 0.60% iii%::
%DIFF. O.rlD% 4.79% 3.32% 0.64% 1.41% 1.97% 1.55% 0.83% 0.32% 1.87% 0.60% j ii--·f 2.08% 0.43% t~: 1.53% 0.43% itQ%. 0.91% 0.43% O:~:
%DIFF. 0.60% 0.29% -0.89% -1.82% -1.72% -1.36% -0.82% -0.53% -0.36% 0.57% 0.43% ~J~W
%DIFP. -0.::0% 5.n% ·3.62% 1.98% 1.61% 1.85% 1.57% 1.11% 0.81%
%DIFF. O.~O% 1.27% -0.59% -0.68% -1 .51% -1.48% -0.81% -0.25% 0.14%
%DIFF. O.EO% -4.50% -4.21% -2.66% -3.12% -3.33% -2.38% -1.36% -0.67%
MEAN 0.25% 1.11% 0.16% -0.58% -0.59% -0.37% -0.15% -0.08% -0.04% MONK PIT STD. DEV. O.~% 3.79% 2.93% 1.72% 1.87% 2.08% 1.53% 0.91% 0.57%
A B DIFF.
MONK PIT MONK PIT STD. DEY. !lSI AASHTOT27
0.65% STD. DEY. (lSI 112 318 #4 tIS #16 130 #50 #100 #200 2.59% 0.95% .... 1".'
226% 0.60% 1A; 0.98% 0.64% 0:.'
%DIFF. 0.27% 1.26% -0.68% -1.75% -2.70% -2.58% -1.62% -0.60% 0.09% 2.27% 0.60% f~' 234% 0.43% 1ru~' 1.49% 0.43% t~, 0.60% 0.43% fr1~·:
%DIFF. O.SI% -2.64% -3.58% -1 .01% 0.52% 0.88% 0.65% 0.38% 0.17% 0.17% 0.43% ~~;
%DIFF. O.Gl% 0.52% -0.80% -1.41% -1.58% -1.27% -0.58% 0.01% 0.49%
%DIFF. 0.65% -3.90% -290% 0.74% 3.22% 3.46% 2.27% 0.99"" 0.08%
%DIFF. -0.26% -0.75% -0.12% 0.34% 1.12% 1.31% 1.04% 0.61% 0.40%
%DIFF. -0.91% 3.15% 278% -0.40% -210% -215% -1 .23% -0.38% 0.32%
MEAN 0.11% -0.39% -0.88% -0.58% -0.25% -0.06% 0.09% 0.17% 0.26% STD. DEV. 0.65% 2.59% 2.26% 0.98% 227% 2.34% 1.49% 0.60% 0.17%
D-9
FRANCISCOTTI CONTROL ONLY
1/2 3/8 #4 #8 #16 #30 #50 #100 #200
%DIFF.
%DIFF.
%DIFF.
%DIFF.
%DIFF.
%DIFF.
MEAN STD. DEV.
%DIFF.
%DIFF.
%DIFF.
%DIFF.
% DlFF.
%DIFF.
MEAN STD.DEV.
-0.41% -2.63% -2.08% -3.18% -3.93% -3.64% -2.66% -1.71% -1.02%
-0.41 % -1.97% -1.82% -1.13% -0.69% -0.62% -0.62% -0.59% -0.47%
-0.13% -3.50% -5.02% -5.23% -4.51% -3.38% -2.21% -1.42% -0.91%
-0.00% 0.66% 0.26% 2.05% 3.24% 3.02% 2.04% 1.13% 0.55%
0.28% -0.87% -2.93% -2.05% -0.58% 0.27% 0.45% 0.30% 0.11%
0.28% -1.53% -3.19% -4.10% -3.81% -2.76% -1.59% -0.83% -0.44%
-0.07% -1.64% -2.46% -2.27% -1.71% -1.18% -0.77% -0.52% -0.36% 0.31% 1.45% 1.75% 2.57% 2.96% 2.59% 1.78% 1.07% 0.60%
RALSTON
1/2
0.12%
-0.00%
0.39%
-0.12%
0.27%
0.39%
0.17% 0.21%
3/8
-1.68%
-1 .75%
-3.83%
-0.08%
-2.16%
-2.08%
-1.93% 1.20%
#4
-1.85%
-1.86%
-2.52%
-0.01%
-0.67%
-0.66%
-1 .26% 0.96%
#8
-2.79%
0.21%
-3.20%
3.00%
-0.42%
-3.41%
-1.10% 2.51%
#16
-2.71%
0.36%
-3.26%
3.07%
-0.56%
-3.63%
-1.12% 2.59%
#30
-2.07%
0.28%
-2.48%
2.35%
-0.41%
-2.76%
-0.85% 1.98%
D-10
#50
-1.08%
0.13%
-1.26%
1.22%
-0.18%
-1.40%
-0.43% 1.01%
#100
-0.50%
-0.05%
-0.68%
0.45%
-0.18%
-0.63%
-0.27% 0.43%
#200
-0.16%
-0.21%
-0.40%
-0.05%
-0.24%
-0.19%
-0.21% 0.12%
%DIFF.
%DIFF.
%DIFF.
%DIFF.
%DIFF.
%DIFF.
MEAN STD. DEY.
%DIFF.
%DIFF.
%DIFF.
%DIFF.
%DIFF.
%DIFF.
MEAN STD. DEY.
VALCO/ROCKY MOUNTAIN/CAS PIT
1/2 3/8 #4 #8 #16 #30 #50 #100 #200 0.49% 1.77% 2.57% 2.02% 2.34% 2.28% 1.20% 0.51% 0.24%
0.24% 0.26% 0.12% -0.54% -1 .25% -1.19% -0.54% -0.29% -0.25%
-0.00% 2.86% 1.55% 0.95% 0.54% 0.78% 0.62% 0.38% 0.22%
-0.25% -1.51% -2.45% -2.56% -3.59% -3.47% -1.74% -0.80% -0.49%
-0.49% 1.09% -1.02% -1.07% -1.80% -1 .50% -0.58% -0.13% -0.02%
-0.24% 2.60% 1.43% 1.49% 1.79% 1.97% 1.16% 0.68% 0.47%
-0.04% 1.18% 0.37% 0.05% -0.33% -0.19% 0.02% 0.06% 0.03% 0.36% 1.63% 1.86% 1.74% 2.28% 2.24% 1.17% 0.56% 0.35%
IRWIN! WINDSOR / STUTE
1/2 3/8 #4 #8 #16 #30 #50 #100 #200
0.30% -0.98% -0.30% -1 .14% -0.21% 0.12% -0.02% -0.28% -0.50%
0.00% 4.79% 3.32% 0.84% 1.41% 1.97% 1.55% 0.83% 0.32%
0.60% 0.29% -0.89% -1 .82% -1.72% -1.36% -0.82% -0.53% -0.36%
-0.30% 5.77% 3.62% 1.98% 1.61% 1.85% 1.57% 1.11% 0.81%
0.30% 1.27% -0.59% -0.68% -1.51% -1.48% -0.81% -0.25% 0.14%
0.60% -4.50% -4.21% -2.66% -3.12% -3.33% -2.38% -1.36% -0.67%
0.25% 1.11% 0.16% -0.58% -0.59% -0.37% -0.15% -0.08% -0.04% 0.35% 3.79% 2.93% 1.72% 1.87% 2.08% 1.53% 0.91% 0.57%
0- 11
MONK PIT
112 318 #4 #18 #16 #30 #60 #100 #200
%DIFF. 0.27% 1.26% -0.68% -1.75% -2.70% -2.58% -1.62% -0.60% 0.09%
%DIFF. 0.91% -2.64% -3.58% -1.01% 0.52% 0.88% 0.65% 0.38% 0.17%
%DIFF. 0.01% 0.52% -0.80% -1.41% -1.58% -1.27% -0.58% 0.01% 0.49%
%DIFF. 0.65% -3.90% -2.90% 0.74% 3.22% 3.46% 2.27% 0.99% 0.08%
%DIFF. -026% -0.75% -0.12% 0.34% 1.12% 1.31% 1.04% 0.61% 0.40%
%DIFF. -0.91% 3.15% 2.78% -0.40% -2.10% -2.15% -1.23% -0.38% 0.32%
MEAN 0.11% -0.39% -0.88% -0.58% -0.25% -0.06% 0.09% 0.17% 0.26% STD.DE"V. 0.65% 2.59% 2.260/. 0.98% 227% 2.34% 1.49% 0.60% 0.17%
PAGOSA TROUT LAKES
112 318 #4 #18 #16 #30 #150 #100 #200
%DIFF. -0.06% -3.49% -8.30% -8.01% -6.85% -5.16% -3.43% -2.07% -1 .30%
%DIFF. -0.33% -7.11% -8.05% -6.60% -5.47% -4.24% -3.02% -1.94% -1.60%
%DIFF. -0.26% -1.53% -3.66% -0.94% -1.62% -1.40% -0.85% -0.42% -0.31%
%DIFF. -0.05% -5.88% -9.55% -5.35% -4.98% -3.91% -2.53% -1.34% -1.01%
%DIFF. 0.01% -2.39% -1.25% 2.66% 1.87% 1.25% 0.90% 0.73% 029%
%DIFF. -0.20% 1.96% 4.63% 7.07% 5 .23% 3.76% 2.58% 1.65% 0.99%
%DIFF. -0.54% -2.76% -2.17% -2.19% -2.10% -1.74% -1.34% -1.02% -0.90%
%DIFF. -0.21% 4.34% 5.88% 4.41% 3.36% 2.51% 1.68% 0.92% 0.70%
%DIFF. 0.34% 4.72% 6.81% 9.26% 7.33% 5.49% 3.92% 2.67% 1.89%
% DlFF. 0.28% 1.23% -1.49% 1.25% 0.48% 0.33% 0.50% 0.60% 0.59%
MEAN -0.10% -1.09% -1.71% 0.16% -0.27% -0.31% -0.16% -0.02% -0.07% STD.DEV. 0.27% 4.05% 5.96% 5.83% 4.76% 3.59% 2.48% 1.59% 1.14%
0-12
COMBINATIONS: Where n = sample set,
6 COMBINATIONS PER AGGREGATE SOURCE
FRANCISCOTTI
CONTROL SPECIMENS 1/2 3/8 #4 #8 #16 #30 #50 #100 #200
596X-5 99.59% 67.61% 42.44% 30.68% 22.43% 15.40% 9.78% 6.16% 3.78% 596X-6 100.00% 70.25% 44.52% 33.86% 26.36% 19.04% 12.45% 7.88% 4.80% %DIFF. -0.41% -2.63% -2.08% -3.18% -3.93% -3.64% -2.66% -1.71% -1.02%
596X-5 99.59% 67.61% 42.44% 30.68% 22.43% 15.40% 9.78% 6.16% 3.78% 596X-7 100.00% 69.59% 44.26% 31.81% 23.13% 16.02% 10.40% 6.75% 4.25% %DIFF. -0.41% -1.97% -1.82% -1.13% -0.69% -0.62% -0.62% -0.59% -0.47%
596X-5 99.59% 67.61% 42.44% 30.68% 22.43% 15.40% 9.78% 6.16% 3.78% 596X-B 99.72% 71.11% 47.45% 35.91% 26.94% 18.78% 12.00% 7.58% 4.69% %DIFF. -0.13% -3.50% -5.02% -5.23% -4.51% -3.38% -2.21% -1.42% -0.91%
596X-6 100.00% 70.25% 44.52% 33.86% 26.36% 19.04% 12.45% 7.88% 4.80% 596X-7 100.00% 69.59% 44.26% 31.81% 23.13% 16.02% 10.40% 6.75% 4.25% %DIFF. -0.00% 0.66% 0.26% 2.05% 3.24% 3.02% 2.04% 1.13% 0.55%
596X-6 100.00% 70.25% 44.52% 33.86% 26.36% 19.04% 12.45% 7.88% 4.80% 596X-B 99.72% 71.11% 47.45% 35.91% 26.94% 18.78% 12.00% 7.58% 4.69% %DIFF. 0.28% -0.87% -2.93% -2.05% -0.58% 0.27% 0.45% 0.30% 0.11%
596X-7 100.00% 69.59% 44.26% 31.81% 23.13% 16.02% 10.40% 6.75% 4.25% 596X-B 99.72% 71.11% 47.45% 35.91% 26.94% 18.78% 12.00% 7.58% 4.69% % DIFF. 0.28% -1.53% -3.19% -4.10% -3.81% -2.76% -1.59% -0.83% -0.44%
RALSTON CONTROL
SIEVE SIZE 1/2 3/8 #4 #8 #16 #30 #50 #100 #200 non-NCAT-5 99.08% 77.93% 64.19% 39.97% 25.14% 15.68% 8.22% 4.54% 2.43% non-NCAT-6 98.96% 79.61% 66.04% 42.76% 27.84% 17.75% 9.30% 5.04% 2.59% %DIFF. 0.12% -1.68% -1.85% -2.79% -2.71% -2.07% -1.08% -0.50% -0.16%
non-NCAT-5 99.08% 77.93% 64.19% 39.97% 25.14% 15.68% 8.22% 4.54% 2.43% non-NCAT-7 99.08% 79.69% 66.05% 39.76% 24.77% 15.39% 8.08% 4.60% 2.63% %DIFF. -0.00% -1.75% -1.86% 0.21% 0.36% 0.28% 0.13% -0.05% -0.21%
non-NCAT-5 99.08% 77.93% 64.19% 39.97% 25.14% 15.68% 8.22% 4.54% 2.43% non-NCAT-8 98.69% 81.77% 66.71% 43.18% 28.40% 18.15% 9.48% 5.22% 2.83%
0-13
%DIFF. 0.39% ~::~~rl ; , ,-2.f~~/lDr3.20% -3.26% -2.48% -1.26% -0.68% -0.40% \i. , ~'~' , ,',.', .. ~ ."
non-NCAT-6 98.96% iWl.61%'" 66.04% '42.76% 27.84% 17.75% 9.30% 5.04% 2.59% non-NCAT-7 99.08% 79.69% 66.05% 39.76% 24.77% 15.39% 8.08% 4.60% 2.63% %DIFF. -0.12% -0.08% -0.01% 3.00% 3.07% 2.35% 1.22% 0.45% -0.05%
non-NCAT-6 98.96% 79.61% 66.04% 42.76% 27.84% 17.75% 9.30% 5.04% 2.59% non-NCAT-8 98.69% 81.77% 66.71% 43.18% 28.40% 18.15% 9.48% 5.22% 2.83% %DIFF. 0.27% -2.16% -0.67% -0.42% -0.56% -0.41% -0.18% -0.18% -0.24%
non-NCAT-7 99.08% 79.69% 66.05% 39.76% 24.77% 15.39% 8.08% 4.60% 2.63% non-NCAT-8 98.69% 81.77% 66.71% 43.18% 28.40% 18.15% 9.48% 5.22% 2.83% %DIFF. 0.39% -2.08% -0.66% -3.41% -3.63% -2.76% -1.40% -0.63% -0.19%
VALCO/ROCKY MOUNTAIN/CAS PIT:
CONTROL 1/2 3/8 #4 #8 #16 #30 #50 #100 #200
NON NCAT-! 100.00% 75.67% 61.68% 45.32% 35.54% 26.49% 12.05% 5.00% 2.78% NON NCAT-E 99.51% 73.90% 59.11% 43.30% 33.20% 24.21% 10.84% 4.49% 2.54% %DIFF. 0.49% 1.77% 2.57% 2.02% 2.34% 2.28% 1.20% 0.51% 0.24%
NON NCAT-! 100.00% 75.67% 61.68% 45.32% 35.54% 26.49% 12.05% 5.00% 2.78% NON NCAT-7 99.76% 75.41% 61.56% 45.86% 36.79% 27.68% 12.58% 5.29% 3.03% %DIFF. 0.24% 0.26% 0.12% -0.54% -1.25% -1.19% -0.54% -0.29% -0.25%
NON NCAT -! 100.00% 75.67% 61.68% 45.32% 35.54% 26.49% 12.05% 5.00% 2.78% NON NCAT-! 100.00% 72.81% 60.13% 44.37% 35.00% 25.71% 11.43% 4.61% 2.56% %DIFF. -0.00% 2.86% 1.55% 0.95% 0.54% 0.78% 0.62% 0.38% 0.22%
NON NCAT-E 99.51% 73.90% 59.11% 43.30% 33.20% 24.21% 10.84% 4.49% 2.54% NON NCAT-7 99.76% 75.41% 61.56% 45.86% 36.79% 27.68% 12.58% 5.29% 3.03% %DIFF. -0.25% -1.51% -2.45% -2.56% -3.59% -3.47% -1.74% -0.80% -0.49%
NON NCAT-E 99.51% 73.90% 59.11% 43.30% 33.20% 24.21% 10.84% 4.49% 2.54% NON NCAT-2 100.00% 72.81% 60.13% 44.37% 35.00% 25.71% 11.43% 4.61% 2.56% %DIFF. -0.49% 1.09% -1.02% -1.07% -1.80% -1.50% -0.58% -0.13% -0.02%
NON NCAT-7 99.76% 75.41% 61.56% 45.86% 36.79% 27.68% 12.58% 5.29% 3.03% NON NCAT-2 100.00% 72.81% 60.13% 44.37% 35.00% 25.71% 11.43% 4.61% 2.56% %DIFF. -0.24% 2.60% 1.43% 1.49% 1.79% 1.97% 1.16% 0.68% 0.47%
Irwin Windsor/Stute Pit:
CONTROL
D-14
1/2 3/8 #4 #8 #16 #30 #50 #100 #200 NON NCAT-! 100.00% 80.67% 59.97% 43.01% 31.60% 22.14% 13.88% 8.29% 4.99% NON NCAT-E 99.70% 81.64% 60.27% 44.14% 31.81% 22.03% 13.90% 8.57% 5.49% %DIFF. 0.30% -0.98% -0.30% -1.14% -0.21% 0.12% -0.02% -0.28% -0.50%
NON NCAT-! 100.00% 80.67% 59.97% 43.01% 31.60% 22.14% 13.88% 8.29% 4.99% NON NCAT-7 100.00% 75.87% 56.65% 42.17% 30.19% 20.18% 12.33% 7.46% 4.67% %DIFF. 0.00% 4.79% 3.32% 0.84% 1.41% 1.97% 1.55% 0.83% 0.32%
NON NCAT-! 100.00% 80.67% 59.97% 43.01% 31.60% 22.14% 13.88% 8.29% 4.99% NON NCAT-E 99.40% 80.37% 60.86% 44.82% 33.32% 23.51% 14.71% 8.82% 5.34% %DIFF. 0.60% 0.29% -0.89% -1.82% -1.72% -1.36% -0.82% -0.53% -0.36%
NON NCAT-E 99.70% 81.64% 60.27% 44.14% 31.81% 22.03% 13.90% 8.57% 5.49% NON NCAT·7 100.00% 75.87% 56.65% 42.17% 30.19% 20.18% 12.33% 7.46% 4.67% %DIFF. -0.30% 5.77% 3.62% 1.98% 1.61% 1.85% 1.57% 1.11% 0.81%
NON NCAT·E 99.70% 81.64% 60.27% 44.14% 31.81% 22.03% 13.90% 8.57% 5.49% NON NCAT·! 99.40% 80.37% 60.86% 44.82% 33.32% 23.51% 14.71% 8.82% 5.34% %DIFF. 0.30% 1.27% -0.59% -0.68% -1.51% -1.48% -0.81% -0.25% 0.14%
NON NCAT·7 100.00% 75.87% 56.65% 42.17% 30.19% 20.18% 12.33% 7.46% 4.67% NON NCAT-t 99.40% 80.37% 60.86% 44.82% 33.32% 23.51% 14.71% 8.82% 5.34% %DIFF. 0.60% -4.50% -4.21% -2.66% -3.12% -3.33% -2.38% -1.36% -0.67%
MONK PIT: CONTROL
SIEVE SIZE 1/2 3/8 #4 #8 #16 #30 #50 #100 #200 NON NCAT..! 99.50% 80.09% 62.74% 41.40% 28.90% 20.54% 13.15% 7.66% 3.72% NON NCAT·E 99.24% 78.83% 63.42% 43.15% 31.60% 23.12% 14.77% 8.27% 3.63% %DIFF. 0.27% 1.26% -0.68% -1.75% -2.70% -2.58% -1.62% -0.60% 0.09%
NON NCAT..! 99.50% 80.09% 62.74% 41.40% 28.90% 20.54% 13.15% 7.66% 3.72% NON NCAT-7 98.59% 82.73% 66.32% 42.41% 28.37% 19.66% 12.50% 7.28% 3.55% %DIFF. 0.91% -2.64% -3.58% -1.01% 0.52% 0.88% 0.65% 0.38% 0.17%
NON NCAT..! 99.50% 80.09% 62.74% 41.40% 28.90% 20.54% 13.15% 7.66% 3.72% NON NCAT-E 99.50% 79.58% 63.54% 42.81% 30.48% 21.81% 13.73% 7.66% 3.23% %DIFF. 0.01% 0.52% -0.80% -1.41% -1.58% -1.27% -0.58% 0.01% 0.49%
NON NCAT-E 99.24% 78.83% 63.42% 43.15% 31.60% 23.12% 14.77% 8.27% 3.63% NON NCAT-7 98.59% 82.73% 66.32% 42.41% 28.37% 19.66% 12.50% 7.28% 3.55% %DIFF. 0.65% -3.90% -2.90% 0.74% 3.22% 3.46% 2.27% 0.99% 0.08%
NON NCAT-E 99.24% 78.83% 63.42% 43.15% 31.60% 23.12% 14.77% 8.27% 3.63% NON NCAT-E 99.50% 79.58% 63.54% 42.81% 30.48% 21.81% 13.73% 7.66% 3.23% % DIFF. -0.26% -0.75% -0.12% 0.34% 1.12% 1.31% 1.04% 0.61% 0.40%
NON NCAT-7 98.59% 82.73% 66.32% 42.41% 28.37% 19.66% 12.50% 7.28% 3.55%
0-15
NON NeAT -f 99.50% 79.58% 63.54% 42.81% 30.48% 21.81% 13.73% 7.66% 3.23% %DIFF. -0.91% 3.15% 2.78% -0.40% -2.10% -2.15% -1.23% -0.38% 0.32%
PAGOSA TROUT LAKES CONTROL
1/2 3/8 #4 #8 #16 #30 #50 #100 #200 Non NCAT-1 99.74% 73.50% 46.45% 33.26% 22.75% 16.09% 11.09% 7.57% 5.33% Non NCAT-2 99.80% 76.99% 54.75% 41.27% 29.60% 21.25% 14.52% 9.64% 6.63% %DIFF. -0.06% -3.49% -8.30% -8.01% -6.85% -5.16% -3.43% -2.07% -1.30%
Non NCAT-3 99.46% 72.27% 47.95% 32.01% 22.27% 15.76% 10.59% 6.97% 4.74% Non NCAT-7 99.79% 79.37% 56.00% 38.61% 27.73% 20.00% 13.62% 8.91% 6.34% % DIFF. -0.33% -7.11% -8.05% -6.60% -5.47% -4.24% -3.02% -1.94% -1.60%
Non NCAT-1 99.74% 73.50% 46.45% 33.26% 22.75% 16.09% 11.09% 7.57% 5.33% Non NCAT-8 100.00% 75.03% 50.12% 34.20% 24.37% 17.49% 11.94% 7.99% 5.64% %DIFF. -0.26% -1.53% -3.66% -0.94% -1.62% -1.40% -0.85% -0.42% -0.31%
Non NCAT-1 99.74% 73.50% 46.45% 33.26% 22.75% 16.09% 11.09% 7.57% 5.33% Non NCAT-7 99.79% 79.37% 56.00% 38.61% 27.73% 20.00% 13.62% 8.91% 6.34% %DIFF. -0.05% -5.88% -9.55% -5.35% -4.98% -3.91% -2.53% -1.34% -1.01%
Non NCAT-2 99.80% 76.99% 54.75% 41.27% 29.60% 21.25% 14.52% 9.64% 6.63% Non NCAT-7 99.79% 79.37% 56.00% 38.61% 27.73% 20.00% 13.62% 8.91% 6.34% %DIFF. 0.01% -2.39% -1.25% 2.66% 1.87% 1.25% 0.90% 0.73% 0.29%
Non NCAT-2 99.80% 76.99% 54.75% 41.27% 29.60% 21.25% 14.52% 9.64% 6.63% Non NCAT-8 100.00% 75.03% 50.12% 34.20% 24.37% 17.49% 11.94% 7.99% 5.64% %DIFF. -0.20% 1.96% 4.63% 7.07% 5.23% 3.76% 2.58% 1.65% 0.99%
Non NCAT-3 99.46% 72.27% 47.95% 32.01% 22.27% 15.76% 10.59% 6.97% 4.74% Non NCAT-8 100.00% 75.03% 50.12% 34.20% 24.37% 17.49% 11.94% 7.99% 5.64% %DIFF. -0.54% -2.76% -2.17% -2.19% -2.10% -1.74% -1.34% -1.02% -0.90%
Non NCAT-7 99.79% 79.37% 56.00% 38.61% 27.73% 20.00% 13.62% 8.91% 6.34% Non NCAT-8 100.00% 75.03% 50.12% 34.20% 24.37% 17.49% 11.94% 7.99% 5.64% %DIFF. -0.21% 4.34% 5.88% 4.41% 3.36% 2.51% 1.68% 0.92% 0.70%
Non NCAT-2 99.80% 76.99% 54.75% 41.27% 29.60% 21.25% 14.52% 9.64% 6.63% Non NCAT-3 99.46% 72.27% 47.95% 32.01% 22.27% 15.76% 10.59% 6.97% 4.74% %DIFF. 0.34% 4.72% 6.81% 9.26% 7.33% 5.49% 3.92% 2.67% 1.89%
Non NCAT-1 99.74% 73.50% 46.45% 33.26% 22.75% 16.09% 11.09% 7.57% 5.33% Non NCAT-3 99.46% 72.27% 47.95% 32.01% 22.27% 15.76% 10.59% 6.97% 4.74% % DIFF. 0.28% 1.23% -1.49% 1.25% 0.48% 0.33% 0.50% 0.60% 0.59%
D-16
FIGURE 8
DATA USED FOR GRAPH OF
DlFF. BETWEEN FIG\D 7 .
. . .· ..•...• ,.:,.·' .. · .. : ... JIQQTTJ
SIEVE SIZE 1/2 3/8 #4 #8
#16 #30 #50 #100 #200
SIEVE SIZE 1/2 3/8 #4 #8
#16 #30 #50 #100 #200
PRECISION ,1S11%
0.07 1.1
1.97 2.53 2.16 1.35 0.64 0.46
0.25 0.36 1.87 1.99 1.55 0.58
o -0.2
PRECISION l1S11%
0.13 1.29 1.52 1.68 0.77 0.76 0.30 0.31
......... ,~b§TgN. •.
0.82 1.2 1.66 1.52 1.29 0.58 0.11 0.15
FIG.7-6
.,Q~06 -4H9: tJ.45 a85 1.69 0.,69 0.$4 fU~
~ii5t ~B~84 (l21 G;41 0.25 ..(HIO 4).1'1 .. Q;~
VALCO/ROCKY MOUNTAIN/CAS PIT
SIEVE SIZE 1/2 3/8 #4 #8
#16 #30 #50 #100 #200
0.25 1.26 1.14 1.68 1.81 0.57 0.13 0.21
0.97 1.69 1.46 1.44 1.38 0.28 -0.05 0.07
412 .,eAr! .. lMil2 tl·~ O.4! o.~ (ua J},.J-i.1
D-17
SIEVE SIZE 1/2 3/8 #4 #8
#16 #30 #50
#100 #200
SIEVE SIZE 1/2 3/8 #4 #8
#16 #30 #50
#100 #200
FIGURE 8
DATA USED FOR GRAPH OF DIFF. BETWEEN FIG. 6 AND 7
IRWINI WINDSOR I STUTE
2.84 2.29 1.12 1.27 1.65
1.1 0.48 0.14
MONK PIT
1.64 1.66 0.34 1.67 1.91 1.06 0.17
-0.26
MEAN
1.68 1.33 1.1
1.41 1.51 0.92 0.35 0.02
0.96 1.13 1.69 2.37 2.29 1.35 0.77 1.7
0-18
1,t6 tl96 {LOt 4t14 0.14 0.1& G.t:! ~h1.g
(t68 ~ta3 4,35. ·O~10 : ",0.3S· . .. 0.21 .:.~: • -0.60 "':U~q .
0.02
1. Detenninatfon of Correction Factors Using Analysis Method Two
0-19
Determination of Correction Factors
DATA USED FOR GRAPH OF DlFF. BETWEEN FIG. 6 D 7
SIEVE SIZE 112 3/8 #4 tIfJ #16 #30 #60
#100 #200
SIEVE SIZE 112 3/8 #4 tIfJ #16 #30 #60
#100 #200
SIEVE SIZE 112 3/8 #4 tIfJ #16 #30 #50
#100 #200
PRECISION
!1SI,%
0.07 1.1 1.97 2.53 2.16 1.35 0.64 0.46
0.25 0.36 1.87 1.99 1.55 0.58 o
-0.2
0.25 1.26 1.14 1.68 1.81 0.57 0.13 0.21
0.13 1.29 1.62 1.68 0.77 0.76 0.30 0.31
0.82 1.2
1.66 1.62 1.29 0.68 0.11 0.15
0.97 1.69 1.46 1.44 1.38 0.28 -0.05 0.07
7·6
Q;=Q6 tt1S' Q,-4S Q~$ us 6.=5$ 0".3"4 ~A~.
tHW O~84 ti~l ~M:7 41& 0;'00 ~ttt ~t~~
"" "'O:;n ":.:""" j~-4
J t3-i. '0,24-QA~ tM!9 ~.1~ ~:M
(1S)AASHTO
LIMITS
"10
D-20
1.38 0.64 0.6
0.43 0.43 0.43 OA3 0.14
0.96 0.6 0.64 0.6
0.43 OA3 0.43 0.14
1.38 0.60 0.60 0.60 0.43 0.60 0.43 0.14
IS THE DIFF. BETWEEN FIG. 6 AND 6 :;coAAi¢.nON WITHIN (1S) AASHTO ::FAClOR LIMITS? 18EQUIRSo. {%:l
y y y N N N Y N
y N Y Y Y Y Y N
y y y y y y y y
oAt UG e;::i:.
U1
SIEVE SIZE 112 318 #4 fIfj
#16 #30 #50
#100 #200
SIEVE SIZE 112 318 #4 tIfJ
#16 #30 #60
#100 #200
Determination of Correction Factors
DATA USED FOR GRAPH OF DIFF. BETWEEN FIG. 6 AND 7
2.84 2.29 1.12 1.27 1.65 1.1
0.48 0.14
1.64 1.66 0.34 1.67 1.91 1.06 0.17 -0.26
1.68 1.33 1.1
1.41 1.61 0.92 0.36 0.02
0.96 1.13 1.69 2.37 2.29 1.35 0.77 1.7
MEAN
\ ···· M:$
~;~ 'Q;~ ~.:1:;( {U4 :0.1'3 tl4~ Q::U
.{j:~6$
:0=.;5$ 1 .~ tUQ 0<'38. ·t;~ '0;60 i,..
0.47
0-21
0.95 0.64 0.60 0.60 0.43 0.43 OA3 0.43
0.95 0.60 0.64 0.60 0.43 0.43 0.43 OA3
N N Y Y Y Y Y Y
Y Y N N Y Y N N
"' :~j!1
'-~~
:O:,Jr t$.~
APPENDIX E
CPL-5120
CP-L5120 . ./ 7/01/96 Draft V -
Page 1
Colorado Procedure L5120
Method of Test For
Determination of the Asphalt Binder Content of Bituminous Mixtures By the Ignition Method
1. Scope
1.1 This method ottest determines the asphalt binder content of bituminous mixtures by heating the mixture until the asphalt binder fraction of the
mix ignites and is burned away. The gradation of
the remaining aggregate may then be determined
using CP 31. The applicability of this procedure to mixtures containing recycled asphalt pavement
(RAP) has not been determined.
1.2 This standard may involve hazardous
materials. operations. and equipment. This
standard does not purport to address all of the
safety problems associated with its use. It is the responsibility of the user of this standard to consult and establish appropriate safety and health
practices and determine the applicability of regulatory limitations prior to use.
2. Referenced Documents
Colorado Procedures:
CP-30 Field Sampling Aggregates for use as
Highway Material CP-31 Sieve analysis, -200 Washed
Gradation CP~ 1 Sampling Fresh Bituminous Paving
Mixtures CP-55 Method for reducing samples of Hot
Bituminous Pavements to Test size CP-L 5105 Standard Practice for Preparation of
Test Specimens of Bituminous
E-1
Mixtures by Means of Gyratory Shear Compactor
CP-L 5115 Standard Method for Preparing and Determining the Density of
Bituminous Mixture Test Specimens by Means of the SHRP Gyratory Compactor
3. Summary of Test Methods
3.1 A specimen of bituminous mixture is
heated in an oven having a temperature of 5380 C
(10000 F) until the asphalt binder fraction ignites
and is bumed away. The asphalt binder content is calculated by dividing the weight loss of the
specimen during ignition by the mass of the bituminous mixture before ignition. A correction
factor is determined for each bituminous mixture and then applied to the measured asphalt binder content of field produced bituminous mixture.
4. Apparatus
4.1.1 Forced-air ignition fumace, with internal balance, capable of maintaining a temperature of
500· C (9300 F) to 650· C (1200· F), having an
internal balance thermally isola~ed from the furnace chamber and accurate at room temperature to 0.1 gram. The balance shall be
capable of weighing a 3,500 gram specimen
contained in a basket assembly while it is heated.
The National Center for Asphalt Technology Asphalt Content Tester (NCAT oven). is an oven
containing a temperature compensated internal
CP-L 5120 7/01/96 Draft Page 2
scale which has been found to be suitable for
determining asphalt binder contents. It is the only oven which currently has been evaluated for the
purposes of this procedure. 4.1.2 Forced-air ignition furnace, without internal balance, capable of maintaining a temperature of
5000 C (930° F) to 650° C (1200° F) may also be
suitable. A testing procedure has not been
developed or tested using this type of equipment.
Potential users of this type of equipment will need
to develop and use a test procedure which can be shown by statistical methods to provide adequate
test result accuracy.
4.2 Two tempered stainless steel 2.36 mm (No.8) mesh perforated basket assemblies, apprOximate dimensions (L x W x H) 26.7 x 26.7 x
5.1 cm with 5 cm support legs. The baskets shall be nested. The top basket shall be provided with
No. 20 mesh screening on the legs to confine the
aggregate.
4.3 Stainless steel catch/drip pan per basket
assembly, approximate dimensions (L x W x H) of
28.0 x 28.0 x 2.6 cm.
4.4 Oven - A forced draft oven capable of maintaining a temperature of 121 ± 5°C.
4.5 External balance, at least 10 kg capacity, sensitive to 0.1 g.
4.6 Safety equipment High temperature face
shield, gloves, and a fire resistant long sleeve
coat. In addition, a heat resistant surface capable
of withstanding a temperature of 6500 C and a
protective cage capable of surrounding the basket
assembly shall be provided.
4.7 Miscellaneous equipment a pan having
dimensions of approximately (L x W x H) 38 x 38 x 5 cm for transferring specimen after ignition,
spatulas, bowls, and wire brushes.
E-2
5. Reducing Production Samples to Test Size
NOTE 1: The word specimen represents a test
quantity of bituminous mixture. When the
specimen's mass exceeds the capacity of test
equipment, it may be divided into multiple units,
tested, and the results recombined.
NOTE 2: The word sample represents a quantity
of bituminous mixture gathered from a stockpile or
roadway in accordance with CP-41.
5.1.1 If the bituminous mixture is not suffiCiently
soft to separate with a spatula or trowel, place it in a pan and warm it in a 121 ° C (2500 F) oven until it can be so handled.
5.1.2 Sampling of HBP shall be done according
to CP-30. Two separate, identical specimens shall
be selected from each bituminous mixture
production sample in accordance with CP-55. The two specimens shall not be combined at any time
after they have been taken.
5.2 The specimens shall conform to the mass
requirements shown in the appropriate column of
Table 1 depending on whether or not an aggregategradation is required.
6. Determination of Mix Correction Factors Using Laboratory Mixed Specimens
6.1 The results measured by this procedure
may be affected by the types of aggregate and
asphalt binder contained in the bituminous mixture.
To ensure accuracy, a correction factor shall be
established for each mix design.
6.2 At least three laboratory produced
specimens conforming to the mass requirements
of Table 1 (gradation not required) shall be prepared at the design asphalt binder content.
Record the weights according to Section 6.2.1
CP-L 5120 7/01/96 Draft
Page 3
TABLE 1: Size of Specimen
Nominal Maximum Sieve size Minimum mass of Minimum mass of
Aggregate size, mm specimen (g). specimen (g).
(If a gradation (H a gradation
is required) is not required)
4.75 (no. 4) 1200 1100
9.S 3/8 in. 1200 1100
12.5 %in. 1700 1100
19.0 3/4 in. 2200 1500
25.0 1 in. 3000 2200
37.5 1 %in. 5500 3300
Some specimen weights specified here may exceed the capacity of the temperature compensated internal
over. scale. These specimens may be divided, the separate parts tested and the results recombined.
and follow the instructions for the Preparation of
Labcratory Produced Specimens contained within
CP-L 5105 or CP-L 5115.
6.2.1 Before mixing ~he specimens, record the
weights of both the oven-dry aggregate and the
asphalt binder contained in each specimen to the
nearest 0.1 gram.
6.3 Follow Sections 7.1 through 7.14 to obtain
an uncorrected asphalt binder content
determination for each of the three specimens.
6.4 Determine the difference, or correction
factor, between the actual asphalt binder content and the uncorrected asphalt binder content
measured using both the temperature
compensated internal oven scale and the external
scale for each of the three specimens as specified
in Sections 6.4.1 to 6.5.
E-3
6.4.1 Determine the actual asphalt binder content
for each of the specimens (Section 9.1).
6.4.2 Following Section 7, determine the
measured asphalt binder content for each of the
specimens using both the external scale (Section
9.2.1) and the temperature compensated internal oven scale (Section 9.2.2).
6.4.3 Determine the correction factors for each of
the specimens (Section 9.3).
NOTE 3: If the difference between the lowest and
highest correction factor is greater than 0.30
percent, then mix and burn another specimen or
specimens until the correction factors determined
using three specimens of the same bituminous
mixture are within 0.30 percent of each other.
CP-L 5120 71.01/96 Draft Page 4
6.5 Calculate the average correction factors
fOT both the external scale and the temperature
compensated internal oven scale.
7. Test Procedure
7.1 All production specimens shall be dried as
specified in Section 7.1.1. Laboratory mixed specimens which have been exposed to moisture
or have been stored at less than 1 00" C (212" F)
for greater than 48 hours shall be dried according
to Section 7.1.1. Laboratory mixed specimens
which have not been exposed to moisture and
wh ich have not been stored at less than 100" C
(2120 F) for greater than 48 hours shall be heated
according to Section 7.1.2.
7.1.1 Specimens as specified in Section 7.1 shall
be dried in a 121" C (250· F) oven for 10 ± 5 hours.
7.1.2 Initially dry specimens (as specified in
Section 7.1) shall be heated by plaCing them into
a 121" C (250· F) oven for 3 ± 1 hours.
7.2 Setthe test temperature to 538" C (1000· F) by pressing the 'TEMP" key on the NCAT oven,
entering "538" and pressing the "ENTER" key.
Allow a minimum of 2-112 hours for the NCAT oven
to reach test temperature. Record the temperature set point prior to the initiation of the
test.
7.2.1 Enter a correction factor of zero into the
NCAT oven keyboard for all mixes by pressing the
"CAliS" key, entering "a" and pressing the "ENTER" key. Press the "CALIS. FACTOR" key
on the NCAT oven panel to verify that the
corre·::tion factor is zero. The correction factor is
labeled as the "calib. factor" on the NCAT oven
tape printout.
7.3 Weigh the empty basket assembly,
E-4
consisting of the two baskets and drip pan with
wire guards in place, on an external scale and
record the weight.
7.4 Remove the top basket of the assembly
and evenly distribute approximately % of the
testing specimen in the bottom basket. Spread the
bituminous mixture to a uniform depth in the tray,
leaving a gap of approximately 10 mm between
the specimen and the edge of the basket. Finer
material should be kept near the center of the
basket tray.
7.5 Place the top tray onto the bottom tray and load the remaining specimen into the top tray.
Place the top cover over the basket and fasten the
restraining wire into the slots on the drip tray of the
basket assembly.
7.6 Weigh the loaded basket assembly on an
external scale and record the weight. Determine
the net weight of the mix contained in the basket
assembly.
7.7 Press the ''WEIGHT'' button on the NCAT
oven keyboard and enter the weight of the
bituminous mixture being tested, rounded to the
nearest whole gram, into the temperature
compensated internal scale oven and then press
the "ENTER" button.
7.8 Tare the temperature compensated scale
oven digital readout by. pressing a wire into the
hole at the right hand end of the display panel.
NOTE 4: Wear protective clothing (Section 4.6)
whenever working near the NCAT oven while
the oven door is open.
7.9 Open the chamber door. Lift the loaded
basket assembly using the locking handle tool and
place it into the NCAT oven. Close the oven door
and allow 2 to 3 seconds !()r the oven scale to
stabilize. Compare the external scale reading of
the loaded basket assembly weight to the NCAT
oven scale reading. Verify that the NCAT oven
scale's weight reading equals the weight
determined in Section 7.6 within ± 5 grams.
Differences greater than 5 grams or failure of the
oven scale to stabilize may indicate that the basket
assembly is contacting the interior walls of the
oven.
7.10 Initiate the test within 10 seconds of
closing the oven door by pressing. the
"START/STOP" button. This will lock the oven
door. After approximately 20 seconds the
temperature compensated internal oven scale will
zero itself and the digital timer will start running.
NOTE 5: Do not attempt to open the oven door while Error 11 is flashing since the oven's contents may ignite violently. Tum off the oven and allow the contents to cool before opening the oven door.
7.11 Once,the specimen weight is stable for a
period of 2-3 consecutive minutes the light
indicating a stable weight will illuminate without
blinking and an audible beep will sound. Press the
"START/STOP" button to stop the test and unlock
the oven door. Use the locking handle to remove
the basket assembly within 5 minutes of the
illumination of the light signaling the end of the
test.
7.12 Place the hot basket assembly on top of
the ceramic cooling plate and place the safety
cage over it.
7.13 Remove the printed tape from the
temperature compensated intemal oven scale and
record the weight loss in percent, the temperature
compensation, and the calculated asphalt binder
content for the specimen. Record the specimen
number and retain the printout as a record of the
E-5
test.
CP-L 5120 7101/96 Draft
Page 5
7.14 Allow a minimum of 35 minutes for the
basket assembly to cool to room temperature or
until it is warm to the touch. Weigh the basket
assembly containing the residual aggregate on an
external scale and record the weight
7.15 Determine the uncorrected asphalt binder
content for the external scale and the temperature
compensated internal oven scale (Sections 9.2.1 and 9.2.2).
7.16 Determine the corrected asphalt binder
content for the external scale and the temperature
compensated internal oven scale (Section 9.4)
8. Gradation (Optional)
8.1 Empty the residual aggregate from the
baskets into a flat pan. Use a small wire brush to
ensure that any residual fines are removed from
the baskets. Weigh the residual aggregate on an
external scale and record the weight.
8.2 Perform a gradation analysis in
accordance with CP 31 .
8.3 COOT has verified that the gradation
results are the same with and without exposure to
heat for aggregates from a wide variety of sources.
However, there may be aggregates which degrade
when exposed to the heat required to bum asphalt
binder. If aggregate degradation is suspected, or
if the test results will be used for project
acceptance, Sections 8.3.1 to 8.3.6 may be used
to verify whether aggregates have a tendency to
degrade.
8.3.1 Obtain a sample of the final aggregate
blend in question from a conveyor bett discharge
or a stopped conveyor belt according to CP 30.
CP-L 5120 7/01/96 Draft Page 6
~+k~.d ~bj~c:+ 1-0 ~~~\C __ •
8.3.2 Using a sample splitter, split a sample
weighing at least 8 times the sample size specified in Table 1 (gradation required) into 8 specimens
having approximately equal mass. Set 4 specimens aside.
8.3.3 Mix 4 of the aggregate specimens with
asphalt cement to yield specimens having an asphalt binder content within 0.5 percent of the mix
in question.
8.3.4 Test the 4 mixed specimens as specified in Section 7.
8.3.5 Using CP-31 , determine the gradation of the 4 specimens which were mixed with asphalt
binder and burned. Determine the gradation of the
4 specimens which were set aside in Section
8.3.2.
8.3.6 Calculate the average percent passing each sieve size for the 2 sets of 4 specimens. Compare the average gradation at each sieve size
for the two sets of specimens. If the gradation of
the aggregate exposed to the heat applied in
Section 8.3.4 is more than 3 percent finer than the untreated aggregate on any of the sieves, the
aggregate may be sensitive to heat degradation.
If the average gradation is within 3 pe~cent on all screens, the aggregate is not sensitive to heat degradation.
8.3.7 If an aggregate has been found to be
sensitive to heat degradation in Section 8.3.6, apply a correction factor to the percent passing
each screen to account for the degradation caused by the NCAT oven.
9. Calculations
9.1 The actual asphalt binder content of a laboratory mixed specimen is determined as
follows:
E-6
Pb(actuaJ) = __ w'_b_ X 100 Ws + Wb
where,
Pb(&ctu&l) = percent of asphalt binder in
specimen
weight of aggregate in specimen weight of asphalt binder in specimen
9.2.1 The uncorrected asphalt binder content of
a specimen is determined using an external scale as follows:
where,
Pb(unc:orr) = uncorrected asphalt binder content, in percent, determined
by the mass loss measured on an external scale.
Wm(ln~ial) = Weight of the bituminous mixture specimen before using the temperature compensated intemal oven scale measured at 121 0 C (250· F).
Wm(ftnal) = Weight of the bituminous mixture specimen after using the temperature compensated
internal oven scale measured at
room temperature.
WbaSkat = Weight of the empty basket assembly at room temperature.
9.2.2 The uncorrected asphalt binder content of a specimen is automatically calculated by the
temperature compensated internal oven's scale
software using the bituminous mixture weight input
in Section 1.7. At the end of each test, the
uncorrected asphalt binder content is printed on a paper tape.
9.3 The mix correction factor is determined for
asphalt binder contents determined using each
method of measurement (both the external scale and the temperature compensated internal oven scale) as follows:
Cf = Pb(actua/) - Pb(meaSUred)
where,
Cf = asphalt binder correction factor determined for a specific method
of measurement e.g. using the
external or the temperature
compensated internal oven
scales.
Pb(meallnd) = uncorrected asphalt binder content of a specimen as determined in Sections 9.2.1 or
9.2.2.
E-7
CP-L 5120 7/01/96 Draft
Page 7
9.4 The corrected asphalt binder content for
field produced specimens using both the external scale and the temperature compensated internal
oven scale is determined as follows:
Pb(corr) = Pb(uncorr) + C,
where,
Pb(corr) = asphalt binder content of field produced specimens corrected for
the aggregate and asphalt binder sources.
10. Report
10.1 Report the corrected asphalt binder
contents determined using the external scale.
Results from the temperature compensated
internal oven scale should be reported for information only .