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Stochastic reduced-order model for dynamical structures having a high modal density in the low-frequency range

Abstract : This paper is devoted to the construction of stochastic reduced-order computational model for dynamical structures having a high modal density in the low-frequency range. The structure considered is characterized by the fact that it exhibits, in the low-frequency range, not only the classical global elastic modes but also numerous local elastic modes which cannot easily be separated from the global elastic modes. A new approach has recently been proposed for constructing a reduced-order computational dynamical model adapted to the low-frequency range. The proposed method requires to decompose the domain of the structure into subdomains. Such a decomposition is carried out using the Fast Marching Method. An adapted generalized eigenvalue problem is constructed using such a decomposition and allows an adapted vector basis to be computed. This basis is then used to construct the reduced-order computational model. The methodology is applied on a complex computational model of an automotive vehicle.
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https://hal-upec-upem.archives-ouvertes.fr/hal-00734163
Contributor : Christian Soize <>
Submitted on : Thursday, September 20, 2012 - 8:48:07 PM
Last modification on : Thursday, March 19, 2020 - 11:52:03 AM
Long-term archiving on: : Friday, December 21, 2012 - 3:51:59 AM

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  • HAL Id : hal-00734163, version 1

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A. Arnoux, Anas Batou, Christian Soize, L. Gagliardini. Stochastic reduced-order model for dynamical structures having a high modal density in the low-frequency range. Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2012), Vienna University of Technology, Sep 2012, Vienna, Austria. pp.1-2. ⟨hal-00734163⟩

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