Reference : Inversion of probabilistic structural models using measured transfer functions
Scientific journals : Article
Engineering, computing & technology : Mechanical engineering
http://hdl.handle.net/2268/102803
Inversion of probabilistic structural models using measured transfer functions
English
Arnst, Maarten [Ecole Centrale Paris > Laboratoire des Sols, Structures et Matériaux > > >]
Clouteau, Didier mailto [Ecole Centrale Paris > Laboratoire des Sols, Structures et Matériaux > > >]
Bonnet, Marc [Ecole Polytechnique (France) > Laboratoire de Mécanique des Solides > > > >]
Jan-2008
Computer Methods in Applied Mechanics & Engineering
Elsevier Science
197
6-8
589-608
Yes (verified by ORBi)
International
0045-7825
Lausanne
Switzerland
[en] Probabilistic modelling ; Inverse problem ; Identification
[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.
http://hdl.handle.net/2268/102803
10.1016/j.cma.2007.08.011

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