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
相关论文
共 50 条
  • [31] Analysis of structure economical life based on stochastic finite element method
    Meng, Guangwei
    Li, Feng
    Zhou, Zhenping
    Zhao, Yunliang
    Jixie Qiandu/Journal of Mechanical Strength, 2007, 29 (04): : 637 - 641
  • [32] Reliability assessment for mechanical structure based on stochastic finite element method
    Zhang, Hongqi
    Shao, Xiaodong
    Hu, Xiangtao
    Zhou, Hongqiao
    Xia, Dan
    Su, Chun
    Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition), 2014, 44 (01): : 76 - 81
  • [33] Stochastic-based damping reduction factors
    Palermo, Michele
    Silvestri, Stefano
    Trombetti, Tomaso
    SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2016, 80 : 168 - 176
  • [34] Practical Application of the Stochastic Finite Element Method
    José David Arregui-Mena
    Lee Margetts
    Paul M. Mummery
    Archives of Computational Methods in Engineering, 2016, 23 : 171 - 190
  • [35] Schwarz Preconditioner for the Stochastic Finite Element Method
    Subber, Waad
    Loisel, Sebastien
    DOMAIN DECOMPOSITION METHODS IN SCIENCE AND ENGINEERING XXII, 2016, 104 : 397 - 405
  • [36] Improvement on recursive stochastic finite element method
    Huang, Bin
    Jisuan Lixue Xuebao/Chinese Journal of Computational Mechanics, 2010, 27 (02): : 202 - 206
  • [37] Practical Application of the Stochastic Finite Element Method
    Arregui-Mena, Jose David
    Margetts, Lee
    Mummery, Paul M.
    ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2016, 23 (01) : 171 - 190
  • [38] Stochastic finite element method in mechanical vibrations
    Mo, Wenhui
    Guti Lixue Xuebao/Acta Mechanica Solida Sinica, 2009, 30 (03): : 318 - 324
  • [39] Iterative solvers for the stochastic finite element method
    Rosseel, E.
    Vandewalle, S.
    PROCEEDINGS OF LSAME.08: LEUVEN SYMPOSIUM ON APPLIED MECHANICS IN ENGINEERING, PTS 1 AND 2, 2008, : 801 - 814
  • [40] ITERATIVE SOLVERS FOR THE STOCHASTIC FINITE ELEMENT METHOD
    Rosseel, Eveline
    Vandewalle, Stefan
    SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2010, 32 (01): : 372 - 397
12345