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.
Bibliographical noteFunding 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.
© 2017 Elsevier Ltd
- Equivalent-linear model
- Parameter estimation
- Site response
- Unscented Kalman filter