Sensitivity of Sample for Simulation-Based Reliability Analysis Methods

作     者：Xiukai Yuan Jian Gu Shaolong Liu 

作者机构：School of Aerospace and EngineeringXiamen UniversityXiamen361005China Institute for Risk and ReliabilityLeibniz Universitat HannoverHannoverGermany 

出 版 物：《Computer Modeling in Engineering & Sciences》 (工程与科学中的计算机建模（英文）)

年 卷 期：2021年第126卷第1期

页      面：331-357页

核心收录：

学科分类：07[理学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 070101[理学-基础数学] 

基　　金：NSAF(Grant No.U1530122) the Aeronautical Science Foundation of China(Grant No.ASFC-20170968002) the Fundamental Research Funds for the Central Universities of China(XMU,20720180072) 

主　　题：Reliability analysis Monte Carlo simulation importance sampling line sampling subset simulation 

摘      要：In structural reliability analysis,simulation methods are widely *** statistical characteristics of failure probability estimate of these methods have been well *** 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 *** 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 *** proposed contribution indexes of sample can provide valuable information understanding the methods deeply,and enlighten potential improvement of *** is found that the main differences between these investigated methods lie in the contribution indexes of the safety samples,which are the main factors to the efficiency of the ***,numerical examples are used to validate these findings.