TY - JOUR
T1 - Site response analysis using one-dimensional equivalent-linear method and Bayesian filtering
AU - Astroza, Rodrigo
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
PY - 2017/9/1
Y1 - 2017/9/1
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.
KW - Equivalent-linear model
KW - Parameter estimation
KW - Site response
KW - Unscented Kalman filter
UR - http://www.scopus.com/inward/record.url?scp=85018785056&partnerID=8YFLogxK
U2 - 10.1016/j.compgeo.2017.04.004
DO - 10.1016/j.compgeo.2017.04.004
M3 - Article
AN - SCOPUS:85018785056
SN - 0266-352X
VL - 89
SP - 43
EP - 54
JO - Computers and Geotechnics
JF - Computers and Geotechnics
ER -