block 26 acceptance 13

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Construction QC/QA Acceptance 1

Quality control/quality assurance

Acceptance

Senior/GraduateHMA Course

Construction QC/QA Acceptance 2

What you will learn….

• The acceptance and compliance procedures used for hot mix asphalt

Construction QC/QA Acceptance 3

ACCEPTANCE AND COMPLIANCE

Did We Get What We Ordered?

Construction QC/QA Acceptance 4

How do we set the spec limits

• They are set using typical industry standard deviations

• Then allowing three standard deviations from the target

• When setting the limits – the number of tests to be included in the lot are considered

• The more tests – the tighter the specification

Construction QC/QA Acceptance 5

Typical Industry Standard Deviations

• Based on extraction• Asphalt binder content: + 0.25 %• % Passing 4.75 mm (No. 4) and larger

sieves: + 3 %• % Passing 2.36 (No 8) to .150 mm (No 100)

sieves: + 2 % • Passing the 0.075 mm (No 200) sieve: + 0.7

%

Construction QC/QA Acceptance 6

Typical Industry Standard Deviations (cont.)

• Compacted mix

• Air voids: + 1.0 %

• Voids in Mineral Aggregate (VMA): + 1.5 %

• Voids filled with asphalt (VFA): + 5 %

Construction QC/QA Acceptance 7

Equation

• The following equation is used to set limits.

• S(n) = s / n ½

• Where– S(n) = standard deviation based on

sample size n– S = standard deviation for material– n = sample size

Construction QC/QA Acceptance 8

Example

• Thus for asphalt binder content where 4 samples will make up the lot size the spec limits would be:

• S = 0.25 and n = 4• S(n) = 0.25 / square root (4)• S(n) = 0.125• For three standard deviations the spec limits would

be plus/minus 0.375 %.

Construction QC/QA Acceptance 9

Percent Within Limits

Construction QC/QA Acceptance 10

PWL Concept

% AC

PWL

PU

PL

USL

LSL

PWL = (PU + PL) - 100

In Terms of Area of the Distribution

Construction QC/QA Acceptance 11

Percent Within Limits

Lot X s PWL

1 5.0 0.20 96

2 5.0 0.40 68

Target Value 5.0

Limits ± 0.4

Lot 1

Lot 2

Asphalt Binder Content4.2 4.6 5.0 5.4 5.8

Upper limit

Lower limit

target

Spec Data

Construction QC/QA Acceptance 12

Percent Within Limits

Lot X s PWL

1 5.0 0.20 96

2 4.8 0.20 84

Lot 1Lot 2

Asphalt Binder Content4.2 4.6 5.0 5.4 5.8

Target Value 5.0

Limits ± 0.4 target

Upper limitsLower limit

Construction QC/QA Acceptance 13

PWL Approach

To get 100 % pay you need to pay attention to

both accuracy and precision

Construction QC/QA Acceptance 14

Steps

• Sample the material using an appropriate random number system

• Determine the average for the lot• Determine the standard deviation “s” for each lot• For Air voids, VMA and binder content calculate the

upper and lower quality indices and the associated PWL

• For in-place density, calculate the lower quality index and associated PWL

Construction QC/QA Acceptance 15

Percent Within Limits Using Standard Deviation

EXERCISE

Calculation of

PWL and PD

Construction QC/QA Acceptance 17

Equations

Q(u) =

Q(L) =

USL - x

x - LSL s

s

-

-

1. Determine Random Sample Location Within Lot

2. Make Measurements at Locations or on Material Samples

3. Determine Average of Samples:

4. Determine Standard Deviation of Samples:

Acceptance Plan:Percent Within Limits (PWL) Approach

x = xi

nn

i=1

s = (xi - x)2

n-1ni=1

Acceptance Plan:Percent Within Limits (PWL) Approach

5. Determine Upper Quality Index, Qu:

6. Determine Lower Quality Index, QL:

7. Estimate PU and PL From Table Using Calculated QU and QL

8. Total Percent Within Limits = (PU + PL) - 100

QL = (x - L)

s

QU = (U - x)

s

Construction QC/QA Acceptance 20

Example Problem

• Percent passing 0.075 sieve– Test 1 : 4.1– Test 2: 4.5– Test 3: 4.8– Test 4: 5.0– Test 5: 5.1

• Specification Target: 5.0 %• Allowable tolerance: See next slide

Construction QC/QA Acceptance 21

Set Spec Limits

• The typical standard deviation from industry is 0.7 %; therefore:– S = 0.7 and n = 5– S(n) = 0.7 / square root (5)– S(n) = 0.7/2.236 = 0.313

• For three standard deviations the spec limits would be + 0.94 %.

• Therefore:– Upper spec limit = 5.94 %– Lower spec limit = 4.06 %

Construction QC/QA Acceptance 22

Compute values

• The average is: – 4.72 %

• Standard deviation for data is:– 0.43

Construction QC/QA Acceptance 23

Compute QU

Q(u) = USL - x s

-

Q(u) =

Q(u) = 2.83

5.94 - 4.72 0.43

P(u) = > 1.00

Construction QC/QA Acceptance 24

Compute QL

Q(L) =

Q(L) =

x - LSL

4.72 - 4.06 0.43

s

-

Q(L) = 1.53

P(L) = 0.97

Construction QC/QA Acceptance 25

Percent Within Limits Using

Conformal Index

Construction QC/QA Acceptance 26

Equations

Q(u) =

Q(L) =

USL - x

x - LSL

CI

CI

-

-

1. Determine Random Sample Location Within Lot

2. Make Measurements at Locations or on Material Samples

3. Determine Average of Samples:

4. Determine Standard Deviation of Samples:

Acceptance Plan:Percent Within Limits (PWL) Approach

x = xi

nn

i=1

Sci = (xi – spec requirement)2

n-1ni=1

Acceptance Plan:Percent Within Limits (PWL) Approach

5. Determine Upper Quality Index, Qu:

6. Determine Lower Quality Index, QL:

7. Estimate PU and PL From Table Using Calculated QU and QL

8. Total Percent Within Limits = (PU + PL) - 100

QL = (x - L)

S ci

QU = (U - x)

S ci

Construction QC/QA Acceptance 29

Example Problem

• Percent passing 0.075 sieve– Test 1 : 4.1– Test 2: 4.5– Test 3: 4.8– Test 4: 5.0– Test 5: 5.1

• Specification Target: 5.0 %• Allowable tolerance: See next slide

Construction QC/QA Acceptance 30

Set Spec Limits

• The typical standard deviation from industry is 0.7 %; therefore:– S = 0.7 and n = 5– S(n) = 0.7 / square root (5)– S(n) = 0.7/2.236 = 0.313

• For three standard deviations the spec limits would be + 0.94 %.

• Therefore:– Upper spec limit = 5.94 %– Lower spec limit = 4.06 %

Construction QC/QA Acceptance 31

Compute values

• The average is: – 4.72 %

• Conformal Index for data is:– 0.533

Construction QC/QA Acceptance 32

Compute QU

Q(u) = USL - x Sci

-

Q(u) =

Q(u) = 2.30

5.94 - 4.72 0.53

P(u) = > 1.00

Construction QC/QA Acceptance 33

Compute QL

Q(L) =

Q(L) =

x - LSL

4.72 - 4.06 0.53

s

-

Q(L) = 1.24

P(L) = 0.90

Construction QC/QA Acceptance 34

Questions?

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