A Stochastic-based Method for Finite Element Model Validation

被引：1
|
作者：
Bi Sifeng [1 ]
Deng Zhongmin [1 ]
机构：
[1] Beihang Univ, Sch Astronaut, Beijing 100191, Peoples R China
来源：
FUNCTIONAL MANUFACTURING AND MECHANICAL DYNAMICS II | 2012年 / 141卷
关键词：
Uncertainty; Model validation; Monte Carlo simulation; Regression analysis;
D O I：
10.4028/www.scientific.net/AMM.141.162
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A stochastic method integrating Monte Carlo simulation (MCS) and multivariate regression analysis is presented. The main purpose of this method is to validate a finite element model taking account of variability in test systems and modeling uncertainties. An improved MCS and an iterative procedure during correlation analysis are explained. Simulation results show that the proposed method provides a satisfactory validation outcome with acceptable calculation cost, and different correlation indices generate diverse variation curves of variables. MSC.Nastran is employed with a purpose to show the methodology's commonality.
引用
收藏
页码：162 / 167
页数：6
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