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Reduced-order computational model for low-frequency dynamics of automobiles

Authors :
Anas Batou
Laurent Gagliardini
Adrien Arnoux
Christian Soize
Laboratoire de Modélisation et Simulation Multi Echelle (MSME)
Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Paris-Est Marne-la-Vallée (UPEM)
PSA Peugeot Citroën
PSA Peugeot Citroën (PSA)
Université Paris-Est Marne-la-Vallée (UPEM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)
Source :
Advances in Mechanical Engineering, Advances in Mechanical Engineering, 2013, Volume 2013 (Article ID 310362), pp.1-12. ⟨10.1155/2013/310362⟩, Advances in Mechanical Engineering, Vol 5 (2013)
Publication Year :
2013
Publisher :
HAL CCSD, 2013.

Abstract

Open Access Journal; International audience; A reduced-order model is constructed to predict, for the low-frequency range, the dynamical responses in the stiff parts of an automobile constituted of stiff and flexible parts. The vehicle has then many elastic modes in this range due to the presence of many flexible parts and equipments. A non-usual reduced-order model is introduced. The family of the elastic modes is not used and is replaced by an adapted vector basis of the admissible space of global displacements. Such a construction requires a decomposition of the domain of the structure in subdomains in order to control the spatial wave length of the global displacements. The Fast Marching Method is used to carry out the subdomain decomposition. A probabilistic model of uncertainties is introduced. The parameters controlling the level of uncertainties are estimated solving a statistical inverse problem. The methodology is validated with a large computational model of an automobile.

Details

Language :
English
Database :
OpenAIRE
Journal :
Advances in Mechanical Engineering, Advances in Mechanical Engineering, 2013, Volume 2013 (Article ID 310362), pp.1-12. ⟨10.1155/2013/310362⟩, Advances in Mechanical Engineering, Vol 5 (2013)
Accession number :
edsair.doi.dedup.....65b524dfbd8e91d8dffe4a20f85dc534
Full Text :
https://doi.org/10.1155/2013/310362⟩