Experimental identification of an uncertain computational dynamical model representing a family of structures

被引：13

作者：

Batou, A. ^{[1
]}

Soize, C. ^{[1
]}

Corus, M. ^{[2
]}

机构：

[1] Univ Paris Est, Lab Modelisat & Simulat Multi Echelle, MSME, CNRS,UMR 8208, F-77454 Marne La Vallee, France

[2] LaMSID, CNRS, EDF, UMR 2832, F-92140 Clamart, France

来源：

COMPUTERS & STRUCTURES | 2011年 / 89卷 / 13-14期

关键词：

Uncertainties; Structural dynamics; Stochastic inverse problem; CHAOS REPRESENTATIONS; PHYSICAL SYSTEMS; MAXIMUM-ENTROPY; RANDOM-FIELDS; PROPAGATION;

D O I：

10.1016/j.compstruc.2011.03.004

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

We are interested in constructing an uncertain computational model representing a family of structures and in identifying this model using a small number of experimental measurements of the first eigenfrequencies. The prior probability model of uncertainties is constructed using the generalized probabilistic approach of uncertainties which allows both system-parameters uncertainties and model uncertainties to be taken into account. The parameters of the prior probability model of uncertainties are separately identified for each type of uncertainties, yielding an optimal prior probability model. The optimal prior stochastic computational model allows a robust analysis for the family of structures to be carried out. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：1440 / 1448

页数：9

共 30 条

[1] Identification of Bayesian posteriors for coefficients of chaos expansions
Arnst, M.
Ghanem, R.
Soize, C.
[J]. JOURNAL OF COMPUTATIONAL PHYSICS, 2010, 229 (09) : 3134 - 3154
[2] Updating models and their uncertainties. I: Bayesian statistical framework
Beck, JL
Katafygiotis, LS
[J]. JOURNAL OF ENGINEERING MECHANICS, 1998, 124 (04) : 455 - 461
[3] ASYMPTOTIC SAMPLING DISTRIBUTION FOR POLYNOMIAL CHAOS REPRESENTATION FROM DATA: A MAXIMUM ENTROPY AND FISHER INFORMATION APPROACH
Das, Sonjoy
Ghanem, Roger
Spall, James C.
[J]. SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2008, 30 (05) : 2207 - 2234
[4] Maximum likelihood estimation of stochastic chaos representations from experimental data
Desceliers, Christophe
Ghanem, Roger
Soize, Christian
[J]. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2006, 66 (06) : 978 - 1001
[5] Identification and prediction of stochastic dynamical systems in a polynomial chaos basis
Ghanem, R
Masri, S
Pellissetti, M
Wolfe, R
[J]. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2005, 194 (12-16) : 1641 - 1654
[6] Propagation of probabilistic uncertainty in complex physical systems using a stochastic finite element approach
Ghanem, R
Red-Horse, J
[J]. PHYSICA D, 1999, 133 (1-4): : 137 - 144
[7] Efficient characterization of the random eigenvalue problem in a polynomial chaos decomposition
Ghanem, Roger
Ghosh, Debrai
[J]. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2007, 72 (04) : 486 - 504
[8] Strain and stress computations in stochastic finite element methods
Ghosh, Debrai
Farhat, Charbel
[J]. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2008, 74 (08) : 1219 - 1239
[9] INFORMATION THEORY AND STATISTICAL MECHANICS .2.
JAYNES, ET
[J]. PHYSICAL REVIEW, 1957, 108 (02): : 171 - 190
[10] Kaipo J., 2005, STAT COMPUTATIONAL I

← 1 2 3 →