An Evaluation of Free Field Liquefaction Analysis Using OpenSees

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An Evaluation of Free Field Liquefaction Analysis Using OpenSees

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Title: An Evaluation of Free Field Liquefaction Analysis Using OpenSees


1
An Evaluation of Free Field Liquefaction Analysis
Using OpenSees
  • Lindsay Baynes
  • Dept. of Civil and Environmental Engineering

2
Overview
  • Constitutive model for liquefaction
  • OpenSees framework and PDMY model
  • PDMY parameter calibration using single element
    of undrained soil
  • Free field analysis
  • Evaluation of EDP uncertainty

3
Liquefaction
  • Definition loss of strength due to the build up
    of excess pore pressures that occurs when loose,
    saturated sands with a tendency to contract upon
    deformation are subjected to dynamic excitation
  • Susceptible soils loosely-deposited, saturated,
    shallow, uniform sands
  • 2 types
  • Flow liquefaction
  • Cyclic mobility

4
Cyclic Mobility
Cyclic mobility
Loading Begins
Increasing pore pressures, decreasing effective
stresses
5
Constitutive Model for Liquefiable Soil
  • Components
  • Elastic linear-elastic and isotropic until
    yielding
  • Yield criterion transition point between
    elastic and elasto-plastic behavior
  • Post-yield behavior
  • Flow rule rate of change
  • of plastic strain beyond elastic limit
  • Hardening rule translation and
  • expansion of yield surface

6
Constitutive Model Idealization of Liquefaction
  • Post-yield behavior characterized by 4 phases
  • Contraction within the PT surface (0-1)
  • Perfectly-plastic shear strain on the PT surface
    (1-2) only at low effective confining stress
  • Dilation during loading above the PT surface
    (2-3)
  • Contraction during unloading above the PT surface
    (3-4)

7
OpenSees Framework
  • Multi-purpose finite element platform

8
PDMY Model
  • PressureDependentMultiYield (PDMY) material used
    to model pressure-sensitive materials in OpenSees
  • Coupled with FluidSolidPourous material to
    simulate saturated, undrained conditions
  • Requires user-specification of 14 parameters
  • 11 related to soil relative density
  • Geotechnical parameters r, Gmax, Bmax, f, fPT
  • Constitutive parameters c, d1, d2, l1, l2, l3
  • 3 model constants

9
Geotechnical PDMY Parameters
10
Constitutive PDMY Parameters
11
PDMY Model (cont.)
  • Contraction parameter, c rate of shear-induced
    volume decrease (drained) or pore pressure
    buildup (undrained)
  • Dilation parameters, d1, d2 rate of shear
    induced volume increase (drained) or pore
    pressure decrease (undrained)
  • Liquefaction parameters, l1, l2, l3 effective
    confining pressure below which perfectly plastic
    behavior can occur, maximum amount of perfectly
    plastic shear strain that can be accumulated
    during each phase, maximum amount of biased
    perfectly plastic shear strain.

12
PDMY Parameter Calibration
  • Single element of undrained soil subjected to
    harmonic load
  • Cyclic stress ratio and relative density varied
  • Data compared to existing field and experimental
    data

13
Single Element Analysis (0.24 CSR and 65 Dr)
14
Single Element Analysis (0.24 CSR and 85 Dr)
15
Relationship between CSR and NL
  • Existing relationship based on
  • Field relationship between density and CSRL
  • Laboratory relationship between magnitude and NL

NL
16
Relationship between CSR and NL (cont.)
17
Relationship between ru and N/NL
  • Existing relationship based on results of cyclic
    tests

18
Relationship between ru and N/NL (cont.)
19
Relationship between gmax and Dr
  • Existing relationship based on shaking table tests

20
Overview
  • Constitutive model for liquefaction
  • OpenSees framework and PDMY model
  • PDMY parameter calibration using single element
    of undrained soil
  • Free field analysis
  • Evaluation of EDP uncertainty

21
Free Field Analysis
  • Site response analysis overview
  • Testing scenario
  • Undrained analysis and comparison to Cyclic
    Stress Method and WAVE results

22
Site Response Analysis
  • Energy waves emitted from rupture along fault
  • Altered by rock and soil
  • Recorded motions used in site response analysis
    must be convolved or deconvolved to account for
    alteration

23
Input Motion
  • Yerba Buena rock outcrop motion scaled to 0.1 g
  • Applied to base of soil profile (not deconvolved)

24
Soil Profile
  • Free field idealized by 1-D soil profile
  • 10 m loose sand ((N1)60 10, 20, 30)
  • 40 m dense till ((N1)60 40)
  • GWT at 2 m (undrained)
  • OpenSees model
  • 220 elements, fixed base nodes
  • PDMY Material

25
PDMY Parameter Values
26
Undrained Comparison of OpenSees and Cyclic
Stress Method Results
  • Cyclic Stress method
  • Uses relationships based on lab and field data to
    predict factor of safety against liquefaction
  • Compares estimated cyclic stress required to
    cause liquefaction to estimated cyclic stress
    induced by earthquake shaking

27
Cyclic Stress Approach
  • Cyclic stress required for liquefaction
  • Use field data to estimate CSRL
  • Apply MSF to adjust for magnitude
  • Multiply by effective stress to compute tcyc,L

28
Cyclic Stress Approach (cont.)
  • Cyclic stress induced by earthquake
  • Estimate based on peak surface acceleration,
    total vertical stress, and stress reduction
    factor
  • tcyc 0.65 amax svo rd
  • Factor of Safety
  • Ratio of tcyc,L to tcyc
  • Estimate excess pore
  • pressure ratio over profile

29
Comparison of Results ((N1)60 10)
Cyclic Stress Approach
OpenSees
30
Comparison of Results ((N1)60 20)
Cyclic Stress Approach
OpenSees
31
Comparison of Results ((N1)60 30)
Cyclic Stress Approach
OpenSees
32
Undrained Comparison of OpenSees and WAVE Results
  • WAVE
  • Non-linear program
  • Second order accurate finite difference method
  • Bedrock vs 7500 m/s
  • Motion not deconvolved

33
Comparison of Results
WAVE
OpenSees
(N1)60
10
20
30
34
WAVE
OpenSees
(N1)60
10
20
30
35
Overview
  • Constitutive model for liquefaction
  • OpenSees framework and PDMY model
  • PDMY parameter calibration using single element
    of undrained soil
  • Free field analysis
  • Evaluation of EDP uncertainty

36
Evaluation of EDP Uncertainty
  • Contribution of input (motion geotechnical)
    uncertainty to uncertainty in structural EDPs
  • Characterize input uncertainty
  • Evaluate EDP uncertainty using
  • Tornado diagrams
  • FOSM analysis
  • Monte Carlo analysis

37
Sources of Uncertainty
  • Prediction of loading
  • Input ground motion usually accounted for
    through DSHA or PSHA
  • Prediction of capacity
  • Soil characteristics focus on random soil
    variability (aleatory uncertainty)
  • PDMY model

38
Input Ground Motions
  • Suites of 20 input ground motions for 2 hazard
    levels 72-yr and 475-yr return periods
  • Rock outcrop motions
  • Spectral acceleration scaled to common value at
    T 0.5 s

72-yr
475-yr
39
PDMY Parameter Uncertainty
Range of values for varying relative density
and moisture condition
40
Engineering Demand Parameters
  • Analysis of 2 structural EDPs
  • Dcyc normalized displacement range
    information about response to peak cycle
  • NHE normalized hysteretic energy information
    about sustainability to several loading cycles
  • SDOF structure defined by
  • Natural period 0.5 s
  • Height 244 cm
  • Post-yield stiffness ratio 0.05
  • Response modification factor, R 2, 5, 8

41
General Procedure
Measure EDPs
  • Site response analysis using OpenSees
  • Same profile, (N1)60 10
  • Input motion applied at base of profile
  • Acceleration recorded at surface
  • Structural analysis using SNAP
  • Surface acceleration applied at base
  • EDPs calculated

Surface acceleration
OpenSees site response
Input acceleration
42
Tornado Diagram Analysis
  • Identifies largest contributors to EDP
    uncertainty
  • Procedure
  • Base-case analysis performed for each input
    motion
  • Analysis performed for each input motion with
    parameter Xj set to 16th percentile value (mean
    SD)
  • Analysis performed for each input motion with
    parameter Xj set to 84th percentile value (mean
    SD)
  • Arrange from highest to lowest swing
  • No differentiation of parameters from layer to
    layer

43
Tornado Diagrams (72-yr return period, R 5)
Dcyc
NHE
44
Tornado Diagrams (475-yr return period, R 5)
Dcyc
NHE
45
FOSM Analysis
  • Determine contribution to EDP variance of each
    input parameter
  • First order Taylor series approximation of
    input-output relationship used to arrive at
    expressions for output mean and variance
  • Mean, standard deviation, correlation
    coefficients determined previously
  • Partial derivatives determined by varying each
    input parameter
  • Influence of parameters differentiated by layer
    (effect of dry layer 1 discounted)

46
Relative Variance Contribution of Input
Parameters (Dcyc, 72-yr return period)
Layer 2
Layer 3
R 2
R 5
R 8
47
Relative Variance Contribution of Input
Parameters (NHE, 72-yr return period)
Layer 2
Layer 3
R 2
R 5
R 8
48
Relative Variance Contribution of Input
Parameters (Dcyc, 475-yr return period)
Layer 2
Layer 2
Layer 2
Layer 3
Layer 3
Layer 3
R 2
R 5
R 8
49
Relative Variance Contribution of Input
Parameters (NHE, 475-yr return period)
Layer 2
Layer 3
R 2
R 5
R 8
50
Summary of FOSM Results
51
Monte Carlo Analysis
  • Probability distribution of EDPs for each input
    motion
  • Requires model execution for multiple cases of
    randomly-generated input variables
  • Based on input parameter uncertainty and
    correlations
  • More consideration of spatial variation
  • More efficient LHS method used for generation of
    random parameter values

52
Probability Distribution (Dcyc, R 5, 475-yr
return period)
53
Probability Distribution (NHE, R 5, 475-yr
return period)
54
Summary of Monte Carlo Results
55
Summary
  • Constitutive model for liquefaction
  • OpenSees framework and PDMY model
  • PDMY parameter calibration using single element
    of undrained soil
  • Free field analysis
  • Evaluation of EDP uncertainty

56
Conclusions
  • Program input can be simplified by relating PDMY
    parameters to Dr
  • OpenSees effectively captures free field
    liquefaction behavior
  • Uncertainty in input ground motion has a dominant
    effect on EDP uncertainty
  • Contributions to EDP uncertainty from PDMY
    uncertainty vary with hazard level and structural
    characteristics
  • OpenSees is a powerful tool that requires further
    study to improve characterization of contractive
    behavior
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