Computational dynamics in low- and medium-frequency ranges. Reduced-order model and uncertainty quantification

Abstract : Reduced-order models, substructuring techniques and uncertainty quantification are important aspects in computational dynamics, fluid-structure interactions, vibrations and vibroacoustics. In this framework, we will present the following new aspects: (i) Stochastic reduced-order model in low-frequency dynamics in presence of numerous local elastic modes, for which the high modal density makes the use of the classical modal analysis method not suitable; (ii) New ingredients useful for the nonparametric stochastic modeling of uncertainties (a) for structures with uncertain boundary conditions and/or coupling between substructures and (b) for linear viscoelastic structures in the medium-frequency range; (iii) Bayesian posteriors of uncertainty quantification in computational structural dynamics for low- and medium-frequency ranges. In addition to some illustrations which will be given, three industrial applications will be presented.
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https://hal-upec-upem.archives-ouvertes.fr/hal-00989436
Contributor : Christian Soize <>
Submitted on : Sunday, May 11, 2014 - 5:25:15 PM
Last modification on : Thursday, July 18, 2019 - 4:36:06 PM

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Christian Soize, A. Arnoux, J. Avalos, Anas Batou, N. Brie, et al.. Computational dynamics in low- and medium-frequency ranges. Reduced-order model and uncertainty quantification. 11th World Congress on Computational Mechanics (WCCM XI), 5th European Conference on Computational Mechanics (ECCM V), 6th European Conference on Computational Fluid Dynamics (ECFD VI), Jul 2014, Barcelona, Spain. pp.Page: 1-2. ⟨hal-00989436⟩

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