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Reliability-oriented global sensitivity analysis using subset simulation and space partition

Yuan-Zhuo Ma, Xiang-Xiang Jin, Xiang Zhao, Hong-Shuang Li, Zhen-Zhou Zhao and Chang Xu

Reliability Engineering and System Safety, 2024, vol. 242, issue C

Abstract: This paper presents a novel reliability-oriented global sensitivity analysis method using the Subset Simulation (SS) method and the Space Partition (SP) scheme. It can exploit the inherent information of uncertainty within all the conditional samples in each simulation level of SS along the spirit of the SP scheme. The reasoning of the first order indices is firstly provided, followed by a heuristic study on the influence of parametric settings upon the statistical properties of the indices. By extending the calculation process to the higher order indices and formally optimizing the partition scheme considering the coefficient of variation of all the indices, the framework of the proposed reliability-oriented global sensitivity for arbitrary order of indices can be formed. The performance of the direct Monte Carlo method, the Quasi-Monte Carlo method, SP and the proposed method is compared through three numerical examples and two engineering applications, to demonstrate the merits of the proposed one.

Keywords: Global sensitivity; Reliability-oriented sensitivity analysis; Space-partition scheme; Subset simulation (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:242:y:2024:i:c:s0951832023007081

DOI: 10.1016/j.ress.2023.109794

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