期刊
PROBABILISTIC ENGINEERING MECHANICS
卷 24, 期 4, 页码 504-510出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.probengmech.2009.03.002
关键词
Asymptotic sampling; Structural reliability; Reliability index; Failure probability; Computational stochastic analysis
Computational procedures for reliability analysis in many cases suffer from substantially increased effort with increasing dimensionality. This means that methods which are well-suited for cases with a small or moderately large number of random variables may not be tractable for situations involving a large number of random variables. Such situations typically occur when random processes or random fields are discretized in terms of spectral representations. The present paper introduces a novel asymptotic sampling strategy which allows a reasonably accurate estimation of the generalized reliability index using a small number of random or quasi-random samples. This strategy utilizes well-established asymptotic results from reliability theory together with a simple regression technique. Several numerical examples demonstrate the applicability, versatility, and accuracy of the approach. (C) 2009 Elsevier Ltd. All rights reserved.
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