Model-data fusion for spatial and statistical characterization of soil parameters from geophysical measurements

Parida, Siddharth S.; Sett, Kallol; Singla, Puneet

doi:10.1016/j.soildyn.2019.05.010

Cited by 10 publications

(3 citation statements)

References 14 publications

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“…The model updating algorithm utilized in this paper expands on our recent work on geophysical imaging through stochastic full waveform inversion, 25 which builds upon the works of Madankan et al 37 and Adurthi et al 24 In the following, a mathematical overview of the algorithm is presented.…”

Section: Model Updating For Evaluation Of the Current State Of The Brmentioning

confidence: 99%

“…This subsection discusses the prior assumptions made on the random variables of the FE model of the bridge to obtain the model output, u ( Θ ), of Equation (). Following our recent work on geophysical imaging through stochastic full waveform inversion, 25 we, first, go with a combination of structure‐specific and/or generic values reported in the literature and engineering judgment which we, then, modify following a sensitivity analysis.…”

Section: Model Updating For Evaluation Of the Current State Of The Brmentioning

confidence: 99%

“…The algorithms presented in this paper expand on our recent work on geophysical imaging through stochastic full waveform inversion. 25 In particular, we employ a minimum variance framework 26 for the parameter estimation, which accounts for uncertainties due to limited data as well as measurement noise. The parameters of the FE model of the civil infrastructure are hypothesized to be random variables.…”

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confidence: 99%

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Model‐data fusion for seismic performance evaluation of an instrumented highway bridge

Parida

Nikellis

Sett

et al. 2020

Earthq Engng Struct Dyn

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The paper presents a computationally efficient algorithm to integrate a probabilistic, non-Gaussian parameter estimation approach for nonlinear finite element models with the performance-based earthquake engineering (PBEE) framework for accurate performance evaluations of instrumented civil infrastructures. The algorithm first utilizes a minimum variance framework to fuse predictions from a numerical model of a civil infrastructure with its measured behavior during a past earthquake to update the parameters of the numerical model that is, then, used for performance prediction of the civil infrastructure during future earthquakes. A nonproduct quadrature rule, based on the conjugate unscented transformation, forms an enabling tool to drive the computationally efficient model prediction, model-data fusion, and performance evaluation. The algorithm is illustrated and validated on Meloland Road overpass, a heavily instrumented highway bridge in El Centro, CA, which experienced three moderate earthquake events in the past. The benefits of integrating measurement data into the PBEE framework are highlighted by comparing damage fragilities of and annual probabilities of damages to the bridge estimated using the presented algorithm with that estimated using the conventional PBEE approach.

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Section: Model Updating For Evaluation Of the Current State Of The Brmentioning

confidence: 99%

Section: Model Updating For Evaluation Of the Current State Of The Brmentioning

confidence: 99%

mentioning

confidence: 99%

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Model‐data fusion for seismic performance evaluation of an instrumented highway bridge

Parida

Nikellis

Sett

et al. 2020

Earthq Engng Struct Dyn

Self Cite

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Probabilistic Evaluation of a Seismic Site Class from Electrical Resistivity Test Data

Kuili,

Jakka

2023

Pure Appl. Geophys.

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A decomposed Karhunen–Loève expansion scheme for the discretization of multidimensional random fields in geotechnical variability analysis

Zhu,

Hiraishi

2023

Stoch Environ Res Risk Assess

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Model-data fusion for spatial and statistical characterization of soil parameters from geophysical measurements

Cited by 10 publications

References 14 publications

Model‐data fusion for seismic performance evaluation of an instrumented highway bridge

Model‐data fusion for seismic performance evaluation of an instrumented highway bridge

Probabilistic Evaluation of a Seismic Site Class from Electrical Resistivity Test Data

A decomposed Karhunen–Loève expansion scheme for the discretization of multidimensional random fields in geotechnical variability analysis

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