Probabilistic Reanalysis Using Monte Carlo Simulation

被引：1
|
作者：
Nikolaidis, Efstratios [1 ]
Saleem, Sirine [1 ]
Farizal [1 ]
Zhang, Geng [2 ]
Mourelatos, Zissimos P. [2 ]
机构：
[1] Univ Toledo, Toledo, OH 43606 USA
[2] Oakland Univ, Rochester, MI 48309 USA
来源：
SAE INTERNATIONAL JOURNAL OF MATERIALS AND MANUFACTURING | 2009年 / 1卷 / 01期
关键词：
D O I：
10.4271/2008-01-0215
中图分类号：
U [交通运输];
学科分类号：
08 ; 0823 ;
摘要：
An approach for Probabilistic Reanalysis (PRA) of a system is presented. PRA calculates very efficiently the system reliability or the average value of an attribute of a design for many probability distributions of the input variables, by performing a single Monte Carlo simulation. In addition, PRA calculates the sensitivity derivatives of the reliability to the parameters of the probability distributions. The approach is useful for analysis problems where reliability bounds need to be calculated because the probability distribution of the input variables is uncertain or for design problems where the design variables are random. The accuracy and efficiency of PRA is demonstrated on vibration analysis of a car and on system reliability-based optimization (RBDO) of an internal combustion engine.
引用
收藏
页码：22 / 35
页数：14
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