基于交叉熵和空间分割的全局可靠性灵敏度分析

doi:10.7527/S1000-6893.2017.221570

Abstract

Abstract: Failure-probability-based sensitivity analysis is capable to measure the effects of uncertainties of input variables on failure probability, and can provide guidance on how to reduce the failure probability of a structure. In this paper, a new method is proposed to estimate the global reliability sensitivity indices, based on cross entropy method and space partition. The proposed method adaptively determines the important sampling density function by cross entropy method, avoiding the issue of determining the positions and number of the design points. Based on the identical set of samples used to estimate failure probability, the global reliability sensitivity index of each input random variable is calculated by the space partition method, which significantly improves the utilization of the samples and computational efficiency. A numerical and two engineering examples are used to illustrate the accuracy and efficiency of the proposed method.

Key words: global reliability sensitivity, failure probability, cross entropy method, sample space partition, importance sampling

CLC Number:

V19
TB114.3

ZHAO Xiang, LI Hongshuang. Global reliability sensitivity analysis using cross entropy method and space partition[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2018, 39(2): 221570-221570.

References

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Global reliability sensitivity analysis using cross entropy method and space partition

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