Article (Scientific journals)
Inversion of probabilistic structural models using measured transfer functions
Arnst, Maarten; Clouteau, Didier; Bonnet, Marc
2008In Computer Methods in Applied Mechanics and Engineering, 197 (6-8), p. 589-608
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Keywords :
Probabilistic modelling; Inverse problem; Identification
Abstract :
[en] This paper addresses the inversion of probabilistic models for the dynamical behaviour of structures using experimental data sets of measured frequency-domain transfer functions. The inversion is formulated as the minimization, with respect to the unknown parameters to be identified, of an objective function that measures a distance between the data and the model. Two such distances are proposed, based on either the loglikelihood function, or the relative entropy. As a comprehensive example, a probabilistic model for the dynamical behaviour of a slender beam is inverted using simulated data. The methodology is then applied to a civil and environmental engineering case history involving the identification of a probabilistic model for ground-borne vibrations from real experimental data.
Disciplines :
Mechanical engineering
Author, co-author :
Arnst, Maarten ;  Ecole Centrale Paris > Laboratoire des Sols, Structures et Matériaux
Clouteau, Didier;  Ecole Centrale Paris > Laboratoire des Sols, Structures et Matériaux
Bonnet, Marc;  Ecole Polytechnique (France) > Laboratoire de Mécanique des Solides
Language :
English
Title :
Inversion of probabilistic structural models using measured transfer functions
Publication date :
January 2008
Journal title :
Computer Methods in Applied Mechanics and Engineering
ISSN :
0045-7825
eISSN :
1879-2138
Publisher :
Elsevier Science, Lausanne, Switzerland
Volume :
197
Issue :
6-8
Pages :
589-608
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 13 November 2011

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