instrumenting, post-tensioning, recording and modeling the ......post-tensioning of two howe trusses...

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Instrumenting, Post-tensioning, Recording and Modeling the Moose Brook Howe Trusses Modeling the Moose Brook Howe Trusses by Gasparini, D., Nizamiev , K., Harnar , N. and Berilla, J. Department of Civil Engineering Case Western Reserve University Cleveland OH Cleveland, OH

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  • Instrumenting, Post-tensioning, Recording and Modeling the Moose Brook Howe TrussesModeling the Moose Brook Howe Trusses

    by

    Gasparini, D., Nizamiev, K., Harnar, N. and Berilla, J. p , , , , , ,Department of Civil EngineeringCase Western Reserve University

    Cleveland OHCleveland, OH

  • Wood

    Anisotropic – Longitudinal, radial and tangential directionsInhomogeneous – Mechanical properties vary from point to pointViscous - Stress-strain behavior is a function of timeViscous Stress strain behavior is a function of timeHygroscopic – Ingress/egress of moistureFlaws – Knots, checks, splits, etc.

    Highly variable mechanical properties that are a function of wood moisture content

  • Atmospheric conditions and truss behaviorp

    Temperature and relative humidity vary continuously in time

    Thermal strains, viscous behavior, and shrinkage/swelling strains from moisture ingress/egress are “concurrent” in

    i i Astructural wood components in an outdoor environment. All three phenomena affect forces in post-tensioned Howe trusses.

  • Scope of work and objectives

    •Instrument Moose Brook Howe trusses with strain, temperature and relative humidity sensorsy

    • Post-tension the trusses and place them outdoors (but protected)• Acquire and interpret data from truss and atmospheric sensors

    for a period of at least one yearfor a period of at least one year• Mathematically model the trusses and assess models• Make judgments on structural significance of viscosity,

    th l d h i b h ithermal response and hygroscopic behavior

    • Improve understanding of structural behavior of Howe trusses• Improve rehabilitation technologies for Howe bridges• Improve designs of new Howe bridges

  • Weldable full bridge strain gauges, HPI model HBWF-3 12 6 10G 1” C35-125-6-10GP-TR-1” PC applied on Diwidag bars

  • Installation of Sensirion SHT25 semiconductor T/RH sensorsInstallation of Sensirion SHT25 semiconductor T/RH sensors

    4 mm

  • Instrumentation of two Howe trusses

  • InstrumentationSingle 8x8 post-tensioned specimeng p p2 Steel stain gauges on two stressed bars1 Steel strain gauge on unstressed bar section1 Atmospheric T/RH sensor1 Atmospheric T/RH sensor1 T/RH sensor in small loose wood block3 T/RH sensors at three depths within the cross-section

    Two Howe trusses18 Steel strain gaugesg g1 Steel strain gauge on unstressed bar section1 Atmospheric T/RH sensor14 T/RH sensors in various members at various depths14 T/RH sensors in various members at various depths

    Data acquisition systemD i d b ilt d it d b Ji B illDesigned, built, and monitored by Jim [email protected]

  • Post-tensioning of single element

  • Si l 8” 8” D l fiSingle 8” x 8” Douglas fir post-tensioned specimen

  • Post-tensioning of two Howe trusses

  • Architectural fabric cover designed, fabricated, and supplied pro-bono by the Seaman Corp. of Wooster, OH

  • 8x8 specimenp

    Post-tensioned on 4-3-2012; installed outdoors on 5-8-2012

    Howe trusses

    i 6 13 2012 i 9 2 2012Post-tensioned on 6-13-2012; installed outdoors on 9-25-2012

  • F i S t 1 f d t

    104

    106Fourier Spectrum: 1 year of data

    365 sinusoidal cycles (day)1 sinusoidal cycle (year)TemperatureForce 8x8 specimen

    102

    Force 8x8 specimenRelative Humidity

    100

    10-4

    10-2

    10-8 10-7 10-6 10-5 10-410-6

    Frequency (Hz)

    q y ( )

    8x8 specimen – Fourier amplitude spectra of recorded time histories

  • Viscous losses likely from stresses normal to the grain in the chords; minimize by using castingsminimize by using castings with “sleeves”

  • Mathematical modelingMathematical modeling

    Linear viscoelastic analyses Three parameter solid modelBurger model

    Diffusion analysesTwo-dimensional isotropic diffusion model

  • Three-parameter solid model for wood; linear elastic model for steel

    Four-parameter Burger model for wood; linear elastic model for steel

  • Effect of Temperature increase (T = - 40 degrees )

    50

    50.5p ( g )

    3 parameter (Solid) model + Steel +Temp4 parameter (Burger) model +Steel+Temp

    49.5

    el (K

    ips)

    48.5

    49

    ce in

    Ste

    48

    Forc

    0 10 33 50 75 10047.5

    Days

  • 52Combined Effect of Various Axial Stiffnesses without drop in Temperature

    50

    52

    Kip

    s ) 0.625 0.875 1.25

    Prestress Condition after all immediate elastic deformation occured

    48

    g B

    ars

    ( Prestress Condition after all immediate elastic deformation occured

    8.6 % loss

    44

    46

    n D

    ywid

    ag %

    12.9 %

    42

    Forc

    e in

    17.7 %

    0 10 20 30 40 50 60 70 80 90 10040

    Days

  • Four Parameter Burger Model: Influence of the ratio c = 1 / 2

    49

    501 2

    c = 100 c = 1000 c = 10000

    48

    ( Kip

    s )

    47

    in S

    teel

    45

    46

    Forc

    e

    0 20 40 60 80 100 120 140 160 18044

    d

    days

  • Diffusion model for the egress/ingress of moisture

    2 2

    2 2( )C C CDx y t

    Two Dimensional Isotropic

    Fickian Diffusion Modelff

    D Diffusion coefficientC Concentration

    ( ( ))CD S C C t /Emission Admission Model( ( ))b eD S C C tx

    /Emission Admission Model

    at boundary

    ( )e

    S Surface emission coefficientC t Concentration in equilibrium with atmospheric conditionsC C t ti t b d

    bC Concentration at boundary

    Initial conditions and boundary conditions

  • 7.25 inch

    RH/Temperature Sensorsat 3 locations to capture EMC gradient within the depth ofth 8 8 i

    7 25 inch

    the 8x8 specimen

    7.25 inch

    1 82 i h

    1 inch

    3.63 inch

    1.82 inch

  • Assumed initial moisture content distribution within cross-section

  • D = 1.12e-2, Influence of the scale

    18.5

    19D 1.12e 2, Influence of the scale

    EMC center, specimen size: 12x12 inchEMC boundary, specimen size: 12x12 inchEMC t i i 7 25 7 25 i h

    17.5

    18 EMC center, specimen size: 7.25x7.25 inchEMC quarter, specimen size: 12x12 inchEMC boundary, specimen size: 7.25x7.25 inchEMC quarter, specimen size: 7.25x7.25 inch

    16.5

    17

    EM

    C %

    15.5

    16

    0 50 100 150 200 25014.5

    15

    d

    days

  • Size of the specimen: 7.25x7.25 inch, Influence of the Diffusion Coefficient

    18.5

    19Size of the specimen: 7.25x7.25 inch, Influence of the Diffusion Coefficient

    EMC center, D = 0.56e-2EMC bound, D = 2.24e-2EMC quarter, D = 0.56e-2

    17.5

    18q ,

    EMC center, D = 2.24e-2EMC quarter, D = 2.24e-2EMC bound, D = 1.12e-2EMC center, D = 1.12e-2

    16.5

    17

    EM

    C %

    ,EMC quarter, D = 1.12e-2EMC bound, D =0.56e-2

    15.5

    16

    0 50 100 15014.5

    15

    d

    days

  • Influence of the surface emission coefficient on moisture content within cross-section

  • D = 0 2e 2 Specimen Size: 7 25x7 25 period 365 days S = 6 86e 1

    18

    19D = 0.2e-2 , Specimen Size: 7.25x7.25 , period 365 days , S = 6.86e-1

    16

    17Experimentally  measured

    14

    15

    EMC

    %

    13

    14

    EMC center (predicted)

    0 50 100 150 200 250 300 35011

    12

    D

    EMC center (predicted)EMC shallow (predicted)EMC quarter (predicted)

    DaysPredicted vs.  measured moisture content  time histories  with the observed actual atmospheric temperature and relative humidity fluctuations as boundary conditions

  • ObservationsTh 8 8 i l t i t l 8% f it t•The 8x8 specimen lost approximately 8% of its prestress

    over one year due to wood viscosity; the present loss rate is extremely small.y

    • The prestress losses in the Howe trusses are approximately 30% and 50% but these could be minimized by use of30% and 50%, but these could be minimized by use of “sleeved” nodal castings.

    It’ l t t i th t ith t t i• It’s almost certain that with current prestressing processes a permanent state of pre-stress can be achieved in Howe trusses.

    • Atmospheric T and RH fluctuations do affect forces in Howe trusses, but the stress ranges in the wood and steelHowe trusses, but the stress ranges in the wood and steel are small.

  • ObservationsObservations

    • Effects of temperature variations are predicted well by li l ti d llinear elastic models

    • Diffusion models can be calibrated to predict wood moisture content variations that match observed values well.

  • Additional work

    C ti i i d t th h th d f 2013• Continue acquiring data through the end of 2013

    • One of the Howe trusses will be re-tightened to observe changes in subsequent viscous behavior in wood

    • A coupled “mechanosorptive” model is required to A coupled mechanosorptive model is required to predict stresses from wood strain caused by moisture content variation; the diffusion model predictions may be h l f l i d fi i ff ti i l t i f i thelpful in defining an effective axial strain from moisture ingress/egress.

  • Suggestions……

    If a new covered bridge is commissioned,Select a Howe truss in its original formUse nodal castings with “sleeves”Use nodal castings with sleevesUse low moisture content woodNo need for bolts, gusset plates, adhesives, fiber-

    i f d l l dreinforced wraps, trunnels, complex wood joinery, etc.

    Maximize shop fabrication and pre-assemble trussesp pUse current post-tensioning technologiesPost-tension in summerAchieve a permanently post-tensioned wood Howe bridge!Achieve a permanently post-tensioned wood Howe bridge!

    If a Howe bridge is to be rehabilitated,D ’t ll / l k t di lDon’t allow/assume slack counter-diagonalsControl initial tightening and prescribe re-tightening

  • A k l d tAcknowledgments

    FHWA/NHCBP – Sheila DuwadiNPS/HAER – Christopher MarstonNSPCB – David WrightBBNE – Tim AndrewsBBNE Tim AndrewsCWRU team – Kamil Nizamiev, Neil Harnar, Jim BerillaSeaman Corp. – Ken Chaloupek, Scott Burgess