Site response analysis using one-dimensional equivalent-linear method and Bayesian filtering

Rodrigo Astroza; César Pastén; Felipe Ochoa-Cornejo

doi:10.1016/j.compgeo.2017.04.004

Site response analysis using one-dimensional equivalent-linear method and Bayesian filtering

Rodrigo Astroza^*, César Pastén, Felipe Ochoa-Cornejo

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

22 Scopus citations

Abstract

Site response analysis is crucial to define the seismic hazard and distribution of damage during earthquakes. The equivalent-linear (EQL) is a numerical method widely investigated and used for site response analysis. Because several sources of uncertainty are involved in this type of analysis, parameters defining the numerical models need to be identified from in-situ measurements. In this paper, a Bayesian inference method to estimate the expected values and covariance matrix of the model parameters is presented. The methodology uses data from downhole arrays recorded during earthquakes. Two numerical applications show the good performance and prediction capabilities of the proposed approach.

Original language	English
Pages (from-to)	43-54
Number of pages	12
Journal	Computers and Geotechnics
Volume	89
DOIs	https://doi.org/10.1016/j.compgeo.2017.04.004
State	Published - 1 Sep 2017

Bibliographical note

Funding Information:
R. Astroza acknowledges the financial support from the Universidad de los Andes ? Chile through the research grant Fondo de Ayuda a la Investigaci?n (FAI) and from the Chilean National Commission for Scientific and Technological Research (CONICYT), FONDECYT-Iniciaci?n research project No. 11160009. Any opinions, findings, and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect those of the sponsors.

Publisher Copyright:
© 2017 Elsevier Ltd

Keywords

Equivalent-linear model
Parameter estimation
Site response
Unscented Kalman filter

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10.1016/j.compgeo.2017.04.004

Cite this

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abstract = "Site response analysis is crucial to define the seismic hazard and distribution of damage during earthquakes. The equivalent-linear (EQL) is a numerical method widely investigated and used for site response analysis. Because several sources of uncertainty are involved in this type of analysis, parameters defining the numerical models need to be identified from in-situ measurements. In this paper, a Bayesian inference method to estimate the expected values and covariance matrix of the model parameters is presented. The methodology uses data from downhole arrays recorded during earthquakes. Two numerical applications show the good performance and prediction capabilities of the proposed approach.",

keywords = "Equivalent-linear model, Parameter estimation, Site response, Unscented Kalman filter",

author = "Rodrigo Astroza and C{\'e}sar Past{\'e}n and Felipe Ochoa-Cornejo",

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AU - Pastén, César

AU - Ochoa-Cornejo, Felipe

N1 - Funding Information: R. Astroza acknowledges the financial support from the Universidad de los Andes ? Chile through the research grant Fondo de Ayuda a la Investigaci?n (FAI) and from the Chilean National Commission for Scientific and Technological Research (CONICYT), FONDECYT-Iniciaci?n research project No. 11160009. Any opinions, findings, and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect those of the sponsors. Publisher Copyright: © 2017 Elsevier Ltd

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N2 - Site response analysis is crucial to define the seismic hazard and distribution of damage during earthquakes. The equivalent-linear (EQL) is a numerical method widely investigated and used for site response analysis. Because several sources of uncertainty are involved in this type of analysis, parameters defining the numerical models need to be identified from in-situ measurements. In this paper, a Bayesian inference method to estimate the expected values and covariance matrix of the model parameters is presented. The methodology uses data from downhole arrays recorded during earthquakes. Two numerical applications show the good performance and prediction capabilities of the proposed approach.

AB - Site response analysis is crucial to define the seismic hazard and distribution of damage during earthquakes. The equivalent-linear (EQL) is a numerical method widely investigated and used for site response analysis. Because several sources of uncertainty are involved in this type of analysis, parameters defining the numerical models need to be identified from in-situ measurements. In this paper, a Bayesian inference method to estimate the expected values and covariance matrix of the model parameters is presented. The methodology uses data from downhole arrays recorded during earthquakes. Two numerical applications show the good performance and prediction capabilities of the proposed approach.

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KW - Parameter estimation

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KW - Unscented Kalman filter

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ER -

Site response analysis using one-dimensional equivalent-linear method and Bayesian filtering

Abstract

Bibliographical note

Keywords

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