Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/164163
Title: Bayesian updating of failure probability curves with multiple performance functions of nonlinear structural dynamic systems
Authors: Hao, Changyu
Cheung, Sai Hung
Keywords: Engineering::Civil engineering
Issue Date: 2022
Source: Hao, C. & Cheung, S. H. (2022). Bayesian updating of failure probability curves with multiple performance functions of nonlinear structural dynamic systems. Computer Methods in Applied Mechanics and Engineering, 393, 113850-. https://dx.doi.org/10.1016/j.cma.2021.113850
Project: M4061647.B84
Journal: Computer Methods in Applied Mechanics and Engineering
Abstract: System failure often involves multiple failure modes which require considering multiple performance functions. Based on measured system response data, Bayesian updating of multiple failure probability curves needs to be performed. In this paper, a new approach based on extending ISS is proposed which can update multiple failure probability curves by simultaneously considering all the multiple performance functions in one run. A new scheme of how the generated samples are used is proposed to improve the estimation of failure probability curves. Discontinuity issues on the failure curves in ISS are resolved by the proposed method. The proposed method is applied to two illustrative examples involving uncertain model parameters and nonlinear structural dynamic systems subjected to future uncertain earthquake excitations. The computational efficiency of the proposed method is compared with direct application of Subset Simulation. Significant computational savings are observed while the coefficient of variation of the failure probability estimators is kept at the same level.
URI: https://hdl.handle.net/10356/164163
ISSN: 0045-7825
DOI: 10.1016/j.cma.2021.113850
Rights: © 2021 Elsevier B.V. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:IGS Journal Articles

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