4.7 Article

A generalized Subset Simulation approach for estimating small failure probabilities of multiple stochastic responses

Journal

COMPUTERS & STRUCTURES
Volume 153, Issue -, Pages 239-251

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compstruc.2014.10.014

Keywords

Subset Simulation; Multiple stochastic responses; Reliability analysis; High dimension; Small failure probability

Funding

  1. National Natural Science Foundation of China [11102084, 51409196]
  2. Priority Academic Program Development of Jiangsu Higher Education Institutions

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Estimating failure probabilities of multiple stochastic responses using a single run of Subset Simulation remains a challenging task in structural reliability analysis. To address this issue, this study develops a generalized Subset Simulation (GSS) approach, in which a unified intermediate event is defined to drive the simulation procedure progressively approaching multiple failure regions simultaneously. It bypasses the sorting difficulty arising from the multiple stochastic responses. The failure probabilities of multiple stochastic responses are obtained simultaneously by a single run of GSS. Finally, four representative examples are used to demonstrate the efficiency, accuracy and robustness of the proposed GSS approach. (C) 2014 Elsevier Ltd. All rights reserved.

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