Xiukai Yuan1,2,*, Jian Gu1, Shaolong Liu1
CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.1, pp. 331-357, 2021, DOI:10.32604/cmes.2021.010482
- 22 December 2020
Abstract In structural reliability analysis, simulation methods are widely used.
The statistical characteristics of failure probability estimate of these methods have been well investigated. In this study, the sensitivities of the failure
probability estimate and its statistical characteristics with regard to sample,
called ‘contribution indexes’, are proposed to measure the contribution of
sample. The contribution indexes in four widely simulation methods, i.e.,
Monte Carlo simulation (MCS), importance sampling (IS), line sampling (LS)
and subset simulation (SS) are derived and analyzed. The proposed contribution indexes of sample can provide valuable information understanding
the methods deeply, and enlighten More >
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