Probability-interval hybrid reliability analysis for cracked structures existing epistemic uncertainty

被引:64
|
作者
Jiang, C. [1 ]
Long, X. Y. [1 ]
Han, X. [1 ]
Tao, Y. R. [2 ]
Liu, J. [1 ]
机构
[1] Hunan Univ, Coll Mech & Vehicle Engn, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Hunan, Peoples R China
[2] Hunan Univ, Dept Mech Engn, Hunan Inst Engn, State Key Lab Adv Design & Mfg Vehicle Body,Coll, Changsha 410082, Hunan, Peoples R China
基金
美国国家科学基金会;
关键词
Cracked structure; Hybrid reliability analysis; Probability model; Interval analysis; The scaled boundary finite element; FINITE-ELEMENT-METHOD; FRACTURE-MECHANICS;
D O I
10.1016/j.engfracmech.2013.10.009
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
The uncertainty modeling and reliability analysis for cracked structures in which there are many inherently uncertain parameters is very important in engineering. This paper presents a probability-interval hybrid uncertainty model and a corresponding efficient reliability analysis method for the structural cracking problem. Through introducing interval uncertainty, the method can effectively address the difficulties in the epistemic uncertainty modeling due to the lack of experimental samples, which expand greatly the applicability of reliability analysis technology in cracked structure research. The parameters are classified, and subsequently the probability and interval methods are separately applied to address the parameters with sufficient and insufficient experimental samples. A probability-interval hybrid reliability analysis model for the cracked structure based on the traditional first-order reliability method is developed. The scaled boundary finite element method is adopted to calculate the stress intensity factors from which the performance function can be obtained. Based on these calculations, an efficient iterative algorithm using the response surface is developed to solve the hybrid reliability model and calculate the interval of the failure probability of the cracked structure. Four numerical examples are presented for verification of the validity of the proposed method. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:148 / 164
页数:17
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