RPCM: A strategy to perform reliability analysis using polynomial chaos and resampling: Application to fatigue design

被引：0
作者：
Notin A. [1 ]
Gayton N. [2 ]
Dulong J.L. [1 ]
Lemaire M. [2 ]
Villon P. [1 ]
Jaffal H. [3 ]
机构：
[1] Laboratoire Roberval - FR CNRS 2833, Université de Technologie Compiègne, F-60206 Compiègne cedex
[2] Clermont Université, IFMA, EA 3867 Laboratoire de Mécanique et Ingénieries, F-63000 Clermont-Ferrand
[3] CETIM, F-60304 Senlis cedex
来源：
European Journal of Computational Mechanics | 2010年 / 19卷 / 08期
关键词：
Bootstrap; Confidence intervals; Fatigue; Polynomial chaos; Reliability analysis;
D O I：
10.3166/ejcm.19.795-830
中图分类号：
学科分类号：
摘要：
Using stochastic finite elements, the response quantity can be written as a series expansion which allows an approximation of the limit state function. For computational purpose, the series must be truncated in order to retain only a finite number of terms. In the context of reliability analysis, we propose a new approach coupling polynomial chaos expansions and confidence intervals on the generalized reliability index as truncating criterion. © 2010 Lavoisier, Paris.
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页码：795 / 830
页数：35
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