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

A. Batou; C. Soize; M. Corus

hal-00684292, version 1

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

A. Batou ( Auteur à contacter de préférence , ) ¹, C. Soize (, ) ¹, M. Corus () ²

Computers & Structures 89, 13-14 (2011) Pages: 1440-1448

Résumé : 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.

1 : Laboratoire de Modélisation et Simulation Multi Echelle (MSME)
Université Paris-Est Marne-la-Vallée (UPEMLV) – Université Paris-Est Créteil Val-de-Marne (UPEC) – CNRS : UMR8208
2 : Laboratoire de Mécanique des Structures Industrielles Durables (LAMSID)
CNRS : UMR2832 – EDF

hal-00684292, version 1
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Contributeur : Christian Soize <>
Soumis le : Samedi 31 Mars 2012, 23:50:18
Dernière modification le : Mardi 19 Mars 2013, 09:55:49

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DOI : 10.1016/j.compstruc.2011.03.004

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