WEIGHTING IMPORTANCE SAMPLING METHOD FOR STRUCTURAL TIME-DEPENDENT FAILURE PROBABILITY FUNCTION ESTIMATION
QIAN YuGeng
YUAN XiuKai
CHEN JingQiang
Abstract：Time-dependent failure probability function(TDFPF)of parameters is one of the key problems of structural time-dependent reliability-based optimization.The accuracy and efficiency of TDFPF estimation determine the effect of time-dependent reliability-based optimization of structures.In this work,a weighted importance sampling(WIS)approach was proposed for the TDFPF estimation based on the concept of the composite limit states.The proposed method extends importance sampling to obtain the estimation of the TDFPF with only one reliability analysis,avoiding repeated reliability analyses.To verify the accuracy and efficiency of the proposed method,numerical examples and industrial robot reducer examples are given and solved by the proposed method.The results indicated that the proposed method has wide applicability,high efficiency in obtaining the satisfactory estimation of the TDFPF.
Keywords：Time-dependent reliabilityTime-dependent failure probability function(TDFPF)Weighting approachImportance sampling methodStochastic simulation
Publication Date：2023-12-15
Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)
Pages：7( 1387-1393 )