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

Adrien Arnoux (1, 2) , Christian Soize (1) , Anas Batou (1) , Laurent Gagliardini (2)

1 MSME - Laboratoire de Modélisation et Simulation Multi Echelle
2 PSA Peugeot Citroën

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.

Mots clés: automobiles; model uncertainties; nonparametric probabilistic approach; local modes; uncertainty quantification; Reduced-order model; ROM; computational dynamics; low-frequency dynamics; modal analysis; vibration

Domaines: Mécanique [physics.med-ph]; Probabilités [math.PR]; Statistiques [math.ST]; Théorie [stat.TH]

Adrien Arnoux, Christian Soize, Anas Batou, Laurent Gagliardini. Reduced-order computational model for low-frequency dynamics of automobiles. Advances in Mechanical Engineering, 2013, Volume 2013 (Article ID 310362), pp.1-12. ⟨10.1155/2013/310362⟩. ⟨hal-00842991⟩