Bayesian updating of failure probability curves with multiple performance functions of nonlinear structural dynamic systems
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 whic...
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sg-ntu-dr.10356-1641632023-01-06T07:58:30Z Bayesian updating of failure probability curves with multiple performance functions of nonlinear structural dynamic systems Hao, Changyu Cheung, Sai Hung Interdisciplinary Graduate School (IGS) Singapore-ETH Centre Institute of Catastrophe Risk Management Engineering::Civil engineering Failure States Multiple Performance Functions 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. National Research Foundation (NRF) This work was supported by the start-up fund from the University of Hong Kong and a grant (M4061647.B84) from the National Research Foundation of Singapore (NRF) under its Campus for Research Excellence and Technological Enterprise (CREATE) Programme for the Future Resilient Systems programme at the SingaporeETH Centre (SEC). 2023-01-06T07:58:30Z 2023-01-06T07:58:30Z 2022 Journal Article 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 0045-7825 https://hdl.handle.net/10356/164163 10.1016/j.cma.2021.113850 2-s2.0-85125753528 393 113850 en M4061647.B84 Computer Methods in Applied Mechanics and Engineering © 2021 Elsevier B.V. All rights reserved. |
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Engineering::Civil engineering Failure States Multiple Performance Functions Hao, Changyu Cheung, Sai Hung Bayesian updating of failure probability curves with multiple performance functions of nonlinear structural dynamic systems |
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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. |
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Interdisciplinary Graduate School (IGS) |
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Interdisciplinary Graduate School (IGS) Hao, Changyu Cheung, Sai Hung |
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Article |
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Hao, Changyu Cheung, Sai Hung |
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Hao, Changyu |
title |
Bayesian updating of failure probability curves with multiple performance functions of nonlinear structural dynamic systems |
title_short |
Bayesian updating of failure probability curves with multiple performance functions of nonlinear structural dynamic systems |
title_full |
Bayesian updating of failure probability curves with multiple performance functions of nonlinear structural dynamic systems |
title_fullStr |
Bayesian updating of failure probability curves with multiple performance functions of nonlinear structural dynamic systems |
title_full_unstemmed |
Bayesian updating of failure probability curves with multiple performance functions of nonlinear structural dynamic systems |
title_sort |
bayesian updating of failure probability curves with multiple performance functions of nonlinear structural dynamic systems |
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2023 |
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https://hdl.handle.net/10356/164163 |
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1754611300153950208 |