Model uncertainties in computational viscoelastic linear structural dynamics

Rémi Capillon 1 Christophe Desceliers 1 Christian Soize 1
1 MSME - Laboratoire de Modélisation et Simulation Multi Echelle
Abstract : This paper deals with the analysis of the propagation of uncertainties in computational linear dynamics for linear viscoelastic composite structures in the presence of uncertainties. In the frequency domain, the generalised damping matrix and the generalised stiffness matrix of the stochastic computational reduced-order model are random frequency-dependent matrices. Due to the causality of the dynamical system, these two frequency-dependent random matrices are statistically dependent and their probabilistic model involves a Hilbert transform. In this paper, a computational analysis of the propagation of uncertainties is presented for a composite viscoelastic structure in the frequency range.
Keywords : Uncertainty quantification Viscoelastic Nonparametric probabilistic approach Structural dynamics Hilbert transform Kramers-Kronig relations Reduced-order model
Type de document :
Communication dans un congrès
10th International Conference on Structural Dynamics (EURODYN 2017), Sep 2017, Rome, Italy. Elsevier, 199, pp.1210-1215, 2017, Procedia Engineering. 〈https://www.eurodyn2017.it/〉
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Soumis le : lundi 11 septembre 2017 - 19:36:26
Dernière modification le : vendredi 22 juin 2018 - 10:44:23

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Rémi Capillon, Christophe Desceliers, Christian Soize. Model uncertainties in computational viscoelastic linear structural dynamics. 10th International Conference on Structural Dynamics (EURODYN 2017), Sep 2017, Rome, Italy. Elsevier, 199, pp.1210-1215, 2017, Procedia Engineering. 〈https://www.eurodyn2017.it/〉. 〈hal-01585706〉

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