Safety lifetime analysis method for multi-mode time-dependent structural system  

作　　者：Yingshi HU Zhenzhou LU Ning WEI Xia JIANG Changcong ZHOU 

机构地区：[1]School of Aeronautics,Northwestern Polytechnical University,Xi'an 710072,China

出　　处：《Chinese Journal of Aeronautics》2022年第11期294-308,共15页中国航空学报（英文版）

基　　金：supported by the National Natural Science Foundation of China(No.52075442);the National Science and Technology Major Project(2017-Ⅳ-0009-0046);the National Natural Science Foundation of China(No.51975476)。

摘　　要：It is important to determine the safety lifetime of Multi-mode Time-Dependent Structural System(MTDSS). However, there is still a lack of corresponding analysis methods.Therefore, this paper establishes MTDSS safety lifetime model firstly, and then proposes a Kriging surrogate model based method to estimate safety lifetime. The first step of proposed method is to construct the Kriging model of MTDSS performance function by using extremum learning function. By identifying possible extremum mode of MTDSS, the performance function of MTDSS can be equivalently transformed into the one of Single-mode Time-Dependent Structure(STDS).The second step is to use the Advanced First Failure Instant Learning Function(AFFILF) to train the Kriging model constructed in the first step, so that the convergent Kriging model can identify the possible First Failure Instant(FFI) of STDS. Then safety lifetime can be searched quickly by dichotomy search. By using AFFILF, the minimum instant that the state is not accurately identified by the current Kriging model is selected as the training point, which avoids the unnecessary calculation which may be introduced into the existing First Failure Instant Learning Function(FFILF).In addition, the Candidate Sample Pool(CSP) reduction strategy is also adopted. By adaptively deleting the random candidate sample points whose FFI have been accurately identified by the current Kriging model, the training efficiency is further improved. Three cases show that the proposed method is accurate and efficient.

关 键 词：KRIGING Learning function LIFETIME System reliability Time-dependent reliability analysis 

分 类 号：V215[航空宇航科学与技术—航空宇航推进理论与工程]