Reliability sensitivity by method of moments

被引:55
|
作者
Lu, Zhenzhou [1 ]
Song, Jun [1 ]
Song, Shufang [1 ]
Yue, Zhufeng [2 ]
Wang, Jian [3 ]
机构
[1] Northwestern Polytech Univ, Sch Aeronaut, Xian 710072, Peoples R China
[2] Northwestern Polytech Univ, Sch Mech Civil Engn & Architecture, Xian 710072, Peoples R China
[3] Queens Univ Belfast, Sch Mech & Aerosp Engn, Belfast BT9 5AH, Antrim, North Ireland
关键词
Moment method; Point estimate method; Reliability; Sensitivity; Failure probability; Probability density function (PDF); STRUCTURAL RELIABILITY; SYSTEM RELIABILITY;
D O I
10.1016/j.apm.2009.12.020
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Based on the available methods of moments for structural system reliability assessment and point estimate methods for the first few moments of performance functions, an effective method is proposed to analyze reliability sensitivity of a structural system. The proposed method for analyzing reliability sensitivity includes two steps. Firstly, the reliability sensitivity, usually measured by partial differential of the failure probability P-f with respect to distribution parameter theta of the basic random variable is derived according to the moment based reliability assessment. The derived expression of delta P-f/delta theta is related to the derivative of the performance function moment alpha with respect to theta. Secondly, by using the integral formulation between alpha and the probability density function (PDF) of the basic random variable, delta alpha/delta theta could be derived as an expectation of a transformed performance function, and the expectation could be approximated by the point estimate methods. Through the two steps above, the reliability sensitivity can be obtained easily. The obvious advantages of the proposed method include independence of the explicit expression of the performance function, no limitations on the types of PDF of the basic random variables, wide applicability for multiple failure modes and high efficiency for low and medium dimensional problem, which are illustrated by the given examples. However, the efficiency of this method decreases as the dimension of the basic random variables increase, therefore, it is not suitable for the high dimensional problems. (C) 2009 Elsevier Inc. All rights reserved.
引用
收藏
页码:2860 / 2871
页数:12
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