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Nonparametric probabilistic approach of uncertainties in computational elastoacoustics of complex systems. Experimental identification and validation

Abstract : The paper deals with the robustness of uncertain computational elastoacoustic models in low- and medium-frequency ranges. The elastoacoustic system is made up of a heterogeneous viscoelastic structure coupled with an internal acoustic cavity filled with a dissipative acoustic fluid. A reduced mean elastoacoustic model is deduced from the mean finite element model by using the modal approach with the structural modes of the structure and the acoustic modes of the acoustic cavity. Both data uncertainties and model uncertainties are taken into account by using a nonparametric probabilistic approach for the structure, for the acoustic cavity and for the vibroacoustic coupling interface. The main objectives of this paper are (1) to present an experimental validation of the nonparametric probabilistic approach of model uncertainties for computational elastoacoustics of complex systems in the low- and medium-frequency ranges and (2) to propose a method to perform the experimental identification of the probabilistic model parameters. The experimental configuration which is analyzed with the stochastic computational elastoacoustic model is a car made up of a complex heterogeneous structure coupled with a complex acoustic cavity.
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https://hal-upec-upem.archives-ouvertes.fr/hal-00686146
Contributor : Christian Soize <>
Submitted on : Saturday, April 7, 2012 - 8:29:34 PM
Last modification on : Thursday, March 19, 2020 - 11:52:03 AM
Long-term archiving on: : Sunday, July 8, 2012 - 2:21:41 AM

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Christian Soize. Nonparametric probabilistic approach of uncertainties in computational elastoacoustics of complex systems. Experimental identification and validation. (Keynote Lecture) Leuven Symposium on Applied Mechanics in Engineering, Mar 2008, Leuven, Belgium. pp.463-472. ⟨hal-00686146⟩

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