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Intro ESSI System ESSI Examples Summary
Earthquake Soil Structure Interaction(ESSI)
Modeling and Simulation
Boris Jeremic
Consulting Engineer, Jeremic Engineering ConsultantsProfessor, University of California, Davis
Faculty Scientist, Lawrence Berkeley National Laboratory, Berkeley
INL Steering Committee MeetingDecember 2013
Jeremic JEC
ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
Outline
IntroMotivationFlow of Seismic EnergyModeling Uncertainty
ESSI SystemESSI Program
ESSI Examples3D, Inclined, Body and SurfaceModel Verification, Mesh Size EffectsSeismic Wave Propagation Through Uncertain Soils
Summary
Jeremic JEC
ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
Motivation
Outline
IntroMotivationFlow of Seismic EnergyModeling Uncertainty
ESSI SystemESSI Program
ESSI Examples3D, Inclined, Body and SurfaceModel Verification, Mesh Size EffectsSeismic Wave Propagation Through Uncertain Soils
Summary
Jeremic JEC
ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
Motivation
Motivation
I Improving seismic design for Nuclear Power Plants (NPPs)
I Use of high fidelity numerical models for analyzing seismicbehavior of NPP soil structure interaction (SSI) system
I Accurately follow, and direct (!), in space and time, flow ofseismic energy through the NPP SSI system
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ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
Motivation
Hypothesis
I Interplay of an Earthquake with Soil/Rock and Structure, intime domain, plays a major role in seismic responsesuccesses and failures.
I Timing and spatial location of energy dissipationdetermines location and amount of damage.
I If timing and spatial location of energy dissipation can becontrolled (directed, designed), NPP soil structure systemscan be optimized for
I Safety andI Economy
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Intro ESSI System ESSI Examples Summary
Motivation
Predictive CapabilitiesI Verification provides evidence that the model is solved
correctly. Mathematics issue.
I Validation provides evidence that the correct model issolved. Physics issue.
I Prediction: use of computational model to foretell the stateof a physical system under consideration under conditionsfor which the computational model has not been validated.
I Goal: physics based predictive capabilities with lowKolmogorov Complexity
I High Fidelity, hierarchical, predictive capabilities, aim forhigher modeling sophistication then needed
Jeremic JEC
ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
Flow of Seismic Energy
Outline
IntroMotivationFlow of Seismic EnergyModeling Uncertainty
ESSI SystemESSI Program
ESSI Examples3D, Inclined, Body and SurfaceModel Verification, Mesh Size EffectsSeismic Wave Propagation Through Uncertain Soils
Summary
Jeremic JEC
ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
Flow of Seismic Energy
Seismic Energy Input and DissipationI Seismic energy influx through closed boundary
I Mechanical dissipation outside of NPP SSI domain:I reflected wave radiationI NPP SSI system oscillation radiation
I Mechanical dissipation inside NPP SSI domain:I plasticity of soil subdomainsI viscous coupling of porous solid with pore fluid (air, water)I plasticity/damage of the parts of structure/foundationI viscous coupling of structure/foundation with fluidsI potential←→ kinetic energy
I Numerical energy dissipation/production
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ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
Flow of Seismic Energy
Energy Dissipation by Soil Plasticity
Energy dissipation (plastic work) capacity for different soils
0
10
20
30
40
50
60
0 2 4 6 8 10Shear Strain Cycle (%)
Ener
gy D
issi
pate
d (J
/m3 )
Loose SandSoft Clay
Dense Sand
Stiff Clay
Jeremic JEC
ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
Modeling Uncertainty
Outline
IntroMotivationFlow of Seismic EnergyModeling Uncertainty
ESSI SystemESSI Program
ESSI Examples3D, Inclined, Body and SurfaceModel Verification, Mesh Size EffectsSeismic Wave Propagation Through Uncertain Soils
Summary
Jeremic JEC
ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
Modeling Uncertainty
Modeling Uncertainty
I Simplified (or inadequate/wrong) modeling: importantfeatures are missed (seismic ground motions, etc.)
I Introduction of uncertainty and (unknown) lack of accuracyin results due to use of un-verified simulation tools(software quality, etc.)
I Introduction of uncertainty and (unknown) lack of accuracyin results due to use of un-validated models (due to lack ofquality validation experiments)
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ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
Modeling Uncertainty
Complexity of and Uncertainty in Ground Motions
I 6D (3 translations, 3 rotations)
I Vertical motions usually neglected
I Rotational components usually not measured andneglected
I Lack of models for such 6D motions (from measured data))
I Sources of uncertainties in ground motions (Source, Path(rock), soil (rock))
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ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
Modeling Uncertainty
Complexity of and Uncertainty in Material ModelingI All engineering materials experience inelastic deformations
for working loads
I This is even more so for hazard loads (earthquakes)
I Pressure sensitive materials (soil, rock , concrete, etc) canhave very complex constitutive response, tying togethernonlinear stress-strain with volume response
I Simplistic material modeling (elastic, G/Gmax , etc.)introduce (significant) uncertainties in response results
I In addition, man-made and natural materials are spatiallyvariable and their material modeling parameters areuncertain
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ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
Modeling Uncertainty
Material Behavior Inherently Uncertain
I Spatialvariability
I Point-wiseuncertainty,testingerror,transformationerror
(Mayne et al. (2000)
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ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
Modeling Uncertainty
SPT Based Determination of Shear Strength
10 20 30 40
100
200
300
400
500
SPT N value
Su = (101.125*0.29) N 0.72
Und
rain
ed S
hear
Str
engt
h (k
Pa)
−300 −200 −100 0 100 200
0.002
0.004
0.006
0.008
0.01
Nor
mal
ized
Fre
quen
cy
Residual (w.r.t Mean) Undrained Shear Strength (kPa)
Transformation of SPT N-value→ un-drained shear strength,su (cf. Phoon and Kulhawy (1999B)Histogram of the residual (w.r.t the deterministic transformationequation) un-drained strength, along with fitted probabilitydensity function (Pearson IV)
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ESSI Modeling and Simulation
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Modeling Uncertainty
SPT Based Determination of Young’s Modulus
5 10 15 20 25 30 35
5000
10000
15000
20000
25000
30000
SPT N Value
You
ng’s
Mod
ulus
, E (
kPa)
E = (101.125*19.3) N 0.63
−10000 0 10000
0.00002
0.00004
0.00006
0.00008
Residual (w.r.t Mean) Young’s Modulus (kPa)
Nor
mal
ized
Fre
quen
cy
Transformation of SPT N-value→ 1-D Young’s modulus, E (cf.Phoon and Kulhawy (1999B))Histogram of the residual (w.r.t the deterministic transformationequation) Young’s modulus, along with fitted probability densityfunction
Jeremic JEC
ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
ESSI Program
Outline
IntroMotivationFlow of Seismic EnergyModeling Uncertainty
ESSI SystemESSI Program
ESSI Examples3D, Inclined, Body and SurfaceModel Verification, Mesh Size EffectsSeismic Wave Propagation Through Uncertain Soils
Summary
Jeremic JEC
ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
ESSI Program
ESSI Simulator SystemI ESSI-Program is a 3D, nonlinear, time domain, parallel
finite element program specifically developed for Hi-Fimodeling and simulation of Earthquake Soil/Rock StructureInteraction of NPPs on ESSI-Computer.
I ESSI-Computer is a distributed memory parallelcomputer, a cluster of clusters with multiple performanceprocessors and multiple performance networks.
I ESSI-Notes are a hypertext documentation system(Theory and Formulation, Software and Hardware,Verification and Validation, and Case Studies and PracticalExamples) detailing modeling and simulation of ESSIproblems.
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ESSI Modeling and Simulation
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ESSI Program
ESSI Program: Finite Elements
I Dry/single phase solids (8, 20, 27 8-27 node bricks)
I Saturated/two phase solids (8 and 27 node bricks,liquefaction modeling, buoyant forces)
I Quad (ANDES) Shell (6DOFs per node)
I Beams (6DOFs and variable DOFs per node)
I Truss
I Contacts (dry or saturated soil/rock - concrete, gapopening-closing, frictional slip)
I Base isolators (elastomeric, frictional pendulum)
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ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
ESSI Program
ESSI Program: Material Models
I Linear and nonlinear, isotropic and anisotropic elastic
I Elastic-Plastic (von Mises, Drucker Prager, RoundedMohr-Coulomb, Parabolic Leon, Cam-Clay, SaniSand(Dafalias-Manzari), SaniClay, Pisanò...)
I All elastic-plastic models can be used as perfectly plastic,isotropic hardening/softening and kinematic hardeningmodels
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ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
ESSI Program
ESSI Program: Seismic Input
I Analytic input of seismic motionsI Body waves (P, SH, SV)I Surface waves (Rayleigh, Love, etc.)I Analytic radiation damping
I Domain Reduction Method (Bielak et al.)
I Synthetic and realistic seismic motions (Hisada, fk, FEM,etc.)
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ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
ESSI Program
ESSI Program: Verification and Validation
I Detailed Verification (math issue)I Finite elementsI Material modelI Solution algorithmsI Analysis procedureI Code documented in detail in ESSI Notes.
I (Not so) Detailed Validation (physics issue) (lack of highquality experimental data)
I Detailed V&V documentation in ESSI Notes
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ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
ESSI Program
ESSI Program: High Performance Computing, Parallel
I Sequential computing: available for all models, however
I High Performance Parallel Computing: for high fidelitymodeling, parallel is really the only option. Parallel ESSIProgram available on
I Single, multi-core/multi-CPU PCs,I Clusters of (multi-core/multi-CPU) PCs,I Distributed memory parallel (DMP) supercomputers (all top
national supercomputers).
I Template metaprograms for local, element and materialmodel level high performance computing
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ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
ESSI Program
ESSI Program: Probabilistic/StochasticI Constitutive: Fokker-Planck-Kolmogorov equation for
probabilistic elasto-plasticity (PEP)I Spatial: stochastic elastic plastic finite element method
(SEPFEM)I Uncertain: material (LHS) and loads (RHS):
MAacB ¨uBc + CAacB ˙uBc + K EPAacB uBc = FAa
I Results (ui , σij , εij) are very accurate (second orderaccurate for stress) Probability Density Functions (PDFs)
I PEP and SEPFEM are not based on a Monte Carlomethod,
I Uncertain input variables and uncertain DOFs areexpanded into spectral probabilistic spaces, single runsolution
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ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
ESSI Program
Probabilistic Elastic-Plastic Response
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Intro ESSI System ESSI Examples Summary
ESSI Program
Probabilistic Elastic-Plastic Response
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ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
3D, Inclined, Body and Surface
Outline
IntroMotivationFlow of Seismic EnergyModeling Uncertainty
ESSI SystemESSI Program
ESSI Examples3D, Inclined, Body and SurfaceModel Verification, Mesh Size EffectsSeismic Wave Propagation Through Uncertain Soils
Summary
Jeremic JEC
ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
3D, Inclined, Body and Surface
Earthquake Ground Motions
Realistic earthquake ground motions
I Body waves: P and S waves
I Inclined waves
I 3D (6D!) waves
I Surface waves: Rayleigh, Love waves, etc.
I Surface waves carry most seismic energy of interest
I Lack of correlation (incoherence)
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ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
3D, Inclined, Body and Surface
3D Synthetic Seismic Motions
I Development of analytic and numerical 3D, inclined,uncorrelated seismic motions for verification, stress testingof NPPs, etc.
I Large scale model
I Point shear source
I Stress drop:I Wavelet (Ricker,
Ormsby, etc)I Analytic
I Seismic input using DRM (Bielak et al (2003))
0m 5000m 10000m
5000m
0m
2000m
2000
m
Fault
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Intro ESSI System ESSI Examples Summary
3D, Inclined, Body and Surface
Plane Wave Model0m
0m
70m
240m
DRM Layer
2km10km
5km
x
y
xy
1
1
22
2km
0.2km
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ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
3D, Inclined, Body and Surface
Seismic Source Mechanics
Stress drop, Ormsby waveletcontrolled frequency range
-0.003
-0.0025
-0.002
-0.0015
-0.001
-0.0005
0
0.0005
0.001
0 1 2 3 4 5 6 7
Dis
plac
emen
t (m
)
Time (s)
0
5e-06
1e-05
1.5e-05
2e-05
2.5e-05
3e-05
3.5e-05
4e-05
4.5e-05
0 5 10 15 20
FF
T F
unct
ion
Am
plitu
de
Frequency (Hz)
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ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
3D, Inclined, Body and Surface
Middle (NPP Location) Plane,Top 2km
2km10km
5km
x
y
xy
1
1
22
2km
0.2km
0 0 2 4 6 8 10 12
Time (s)
0.2 m/s2
z=3000m
z=3200m
z=3400m
z=3600m
z=3800m
z=4000m
z=4200m
z=4400m
z=4600m
z=4800m
z=5000m
0 0 2 4 6 8 10 12
Time (s)
0.2 m/s2
z=3000m
z=3200m
z=3400m
z=3600m
z=3800m
z=4000m
z=4200m
z=4400m
z=4600m
z=4800m
z=5000m
horizontal accelerations vertical accelerations
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Intro ESSI System ESSI Examples Summary
3D, Inclined, Body and Surface
Verification: Displacements, Top Middle Point
(X) (Z)
-0.0004
-0.0003
-0.0002
-0.0001
0
0.0001
0.0002
0.0003
0.0004
0 2 4 6 8 10 12
Dis
plac
emen
t (m
)
Time (s)
DRMFault Slip Model
-0.0004
-0.0003
-0.0002
-0.0001
0
0.0001
0.0002
0.0003
0.0004
0 2 4 6 8 10 12D
ispl
acem
ent (
m)
Time (s)
DRMFault Slip Model
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3D, Inclined, Body and Surface
Verification: Disp. and Acc., Out of DRM
Displacement Acceleration
-0.0004
-0.0003
-0.0002
-0.0001
0
0.0001
0.0002
0.0003
0.0004
0 2 4 6 8 10 12
Dis
plac
emen
t (m
)
Time (s)
-0.03
-0.02
-0.01
0
0.01
0.02
0.03
0 2 4 6 8 10 12A
ccel
erat
ion
(m/s
2 )Time (s)
Jeremic JEC
ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
Model Verification, Mesh Size Effects
Outline
IntroMotivationFlow of Seismic EnergyModeling Uncertainty
ESSI SystemESSI Program
ESSI Examples3D, Inclined, Body and SurfaceModel Verification, Mesh Size EffectsSeismic Wave Propagation Through Uncertain Soils
Summary
Jeremic JEC
ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
Model Verification, Mesh Size Effects
Motion Filtering: Mesh Size EffectsI Finite element mesh "filters out"
high frequenciesI Usual rule of thumb: 10-12 elements
needed per wave lengthI 1D wave propagation modelI 3D finite elements (same in 3D)I Motions applied as displacements at the bottomI Linear elastic and elastic – linear hardening plastic material
case model height [m] Vs [m/s] El.size [m] fmax (10el) [Hz]3 1000 1000 10 104 1000 1000 20 56 1000 1000 50 2
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Model Verification, Mesh Size Effects
Ormsby Wavelet Input Motions
-0.002
-0.001
0
0.001
0.002
0.003
0.004
0.005
0 0.5 1 1.5 2 2.5 3 3.5 4
Dis
plac
emen
t (m
)
Time [s]
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ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
Model Verification, Mesh Size Effects
Linear Elastic Material: Surface Motions
-0.006
-0.004
-0.002
0
0.002
0.004
0.006
0.008
0.01
0 0.5 1 1.5 2 2.5 3 3.5 4
Dis
plac
emen
t (m
)
Time [s]
Element Size: 10m
Element Size: 20m
Element Size: 50m
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Model Verification, Mesh Size Effects
Linear Elastic Material, FFT of Input and SurfaceMotions
0
2e-05
4e-05
6e-05
8e-05
0.0001
0.00012
0.00014
0.00016
0 2 4 6 8 10
FF
T A
mpl
itud
e
Frequency [Hz]
Input MotionElement Size: 10mElement Size: 20mElement Size: 50m
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ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
Model Verification, Mesh Size Effects
Elastic Plastic Material, Stress-Strain Response
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Intro ESSI System ESSI Examples Summary
Model Verification, Mesh Size Effects
Elastic Plastic Material, Surface Response
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ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
Seismic Wave Propagation Through Uncertain Soils
Outline
IntroMotivationFlow of Seismic EnergyModeling Uncertainty
ESSI SystemESSI Program
ESSI Examples3D, Inclined, Body and SurfaceModel Verification, Mesh Size EffectsSeismic Wave Propagation Through Uncertain Soils
Summary
Jeremic JEC
ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
Seismic Wave Propagation Through Uncertain Soils
"Uniform" CPT Site Data
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ESSI Modeling and Simulation
Intro ESSI System ESSI Examples Summary
Seismic Wave Propagation Through Uncertain Soils
Random Field Parameters from Site Data
I Soil as 12.5 m deep 1–D soil column (von Mises Material)I Properties (including testing uncertainty) obtained through
random field modeling of CPT qT〈qT 〉 = 4.99 MPa; Var [qT ] = 25.67 MPa2;Cor. Length [qT ] = 0.61 m; Testing Error = 2.78 MPa2
I qT was transformed to obtain G: G/(1− ν) = 2.9qT
I Assumed transformation uncertainty = 5%〈G〉 = 11.57MPa; Var [G] = 142.32MPa2
Cor. Length [G] = 0.61m
I Input motions: modified 1938 Imperial Valley
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Seismic Wave Propagation Through Uncertain Soils
Decision About Site (Material) Characterization
I Do nothing about site characterization (rely onexperience): conservative guess of soil data,COV = 225%, correlation length = 12m.
I Do better than standard site characterization:COV = 103%, correlation length = 0.61m)
I Improve site (material) characterization if probabilities ofexceedance are unacceptable!
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Intro ESSI System ESSI Examples Summary
Seismic Wave Propagation Through Uncertain Soils
Full PDFs of all DOFs (and σij , εij , etc.)
I Stochastic Elastic-PlasticFinite Element Method(SEPFEM)
I Dynamic case
I Full PDF ateach time step ∆t
−400
0
200400
0
0.02
0.04
0.06
5
10
15
20
Tim
e (s
ec)
Displacement (mm)
−200
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Seismic Wave Propagation Through Uncertain Soils
PDF at each ∆t (say at 6 s)
−1000 −500 500 1000
0.0005
0.001
0.0015
0.002
0.0025
Displacement (mm)
Real Soil Data
Conservative Guess
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Seismic Wave Propagation Through Uncertain Soils
PDF→ CDF (Fragility) at 6 s
−1000 −500 500 1000
0.2
0.4
0.6
0.8
1
CD
F
Displacement (mm)
Real Soil DataConservative Guess
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Summary
Current NPP Model(s)
I General 3D seismic wavesI Foundation slip – gapI Isolators, dissipatorsI Uncorrelated (incoherent) motionsI Saturated dense vs loose soil with buoyant forcesI Piles and pile groupsI Uncertain material (LHS) and seismic motions (RHS)
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Summary
Summary
I Interplay of uncertain earthquake, uncertain soil, anduncertain structure, in time domain, probably plays adecisive role in seismic performance of NPPs
I Improve risk informed decision making (design⇒safety and economy) through high fidelity, modeling andsimulation (ESSI Simulator System)
I Education and training of users (designers, regulators,owners) will prove essential
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Intro ESSI System ESSI Examples Summary
Summary
Acknowledgement
I Funding from and collaboration with the US-NRC, US-NSF,US-DOE, CNSC, LLNL, INL, AREVA NP GmbH, ShimizuCorp., and EDF is greatly appreciated,
I Collaborators, students: Mr. Abell, Mr. Jeong, Mr. Aldridge.Mr. Kamranimoghadam, Mr. Karapiperis, Mr. Watanabe,Mr. Chao, Dr. Tafazzoli, Dr. Pisanò, Dr. Martinelli, Dr.Preisig, Dr. Chang, Prof. Sett (U. Bufallo), Prof. Taiebat (U.British Columbia), Prof. Yang (U. Alaska)
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