Augmented line sampling and combination algorithm for imprecise time-variant reliability analysis

作     者：Xiukai YUAN Weiming ZHENG Yunfei SHU Yiwei DONG 

作者机构：School of Aerospace EngineeringXiamen UniversityXiamen 361005China 

出 版 物：《Chinese Journal of Aeronautics》 (中国航空学报（英文版）)

年 卷 期：2024年第37卷第12期

页      面：258-274页

核心收录：

学科分类：07[理学] 070102[理学-计算数学] 0701[理学-数学] 

基　　金：The Aeronautical Science Foundation of China(Nos.20170968002,20230003068002) The National Major Science and Technology Projects of China(Nos.J2019-II-0022-0043,J2019-VII-0013-0153) 

主　　题：Time-variant reliability Imprecise reliability Line sampling Adaptive strategy Combination algorithm 

摘      要：Assessment of imprecise time-variant reliability in engineering is a critical task when accounting for both the variability of structural properties and loads over time and the presence of uncertainties involved in the ambiguity of parameters *** estimate the Imprecise Time-variant Failure Probability Function(ITFPF)and derive the imprecise reliability results as a byproduct,Adaptive Combination Augmented Line Sampling(ACALS)is *** consists of three integrated features:Augmented Line Sampling(ALS),adaptive strategy,and the optimal *** is adopted as an efficient analysis tool to obtain the failure probability function *** ***,the adaptive strategy iteratively applies ALS while considering both imprecise parameters and time ***,the optimal combination algorithm collects all result components in an optimal manner to minimize the Coefficient of Variance(C.o.V.)of the ITFPF ***,the proposed ACALS method outperforms the original ALS method by efficiently estimating the ITFPF while guaranteeing a minimal ***,the proposed approach can serve as an effective tool for imprecise time-variant reliability analysis in real engineering *** examples are presented to demonstrate the superiority of the proposed approach in addressing the challenges of estimating the ITFPF.