Global reliability sensitivity estimation based on failure samples
Abstract
Global reliability sensitivity analysis (RSA) can help to assess the effects of input random variables X on the probability of failure Pr(F) of an engineering system. Conventionally, this requires repeated evaluations of the conditional failure probability Pr(F|Xi = xi) for multiple values of the input random variable Xi and for all Xi of interest. Such a solution is straightforward but computationally expensive. In this paper, we propose a new...
Paper Details
Title
Global reliability sensitivity estimation based on failure samples
Published Date
Nov 1, 2019
Journal
Volume
81
Pages
101871 - 101871
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