Robust design in multibody dynamics - application to vehicle ride-comfort optimization

Anas Batou (1) , Christian Soize (1) , C. K. Choi (2) , H. H. Yoo (2)

1 MSME - Laboratoire de Modélisation et Simulation Multi Echelle
2 School of Mechanical Engineering

This research is devoted to the robust design of multibody dynamical systems, that is to say to the optimal design of a multibody system which is carried out using an uncertain computational model. The probabilistic model of uncertainties is constructed using a probabilistic approach yielding a stochastic differential equation with random initial conditions. Then the robust design of the multibody system, in presence of uncertainties, is performed using the least-square method for optimizing the cost function, and the Monte Carlo simulation method as stochastic solver. The application consists in a simple multibody model of an automotive vehicle crossing a rough road and for which the suspensions have to be designed in order to optimize the comfort of the passengers.

Mots clés: multibody dynamics; uncertainties; robust design; vehicle ride-comfort optimization

Domaines: Mécanique [physics.med-ph]; Probabilités [math.PR]

Anas Batou, Christian Soize, C. K. Choi, H. H. Yoo. Robust design in multibody dynamics - application to vehicle ride-comfort optimization. IUTAM Symposium on Dynamical Analysis of Multibody Systems with Design Uncertainties, IUTAM, Jun 2014, Stuttgart, Germany. pp.90-97, ⟨10.1016/j.piutam.2015.01.005⟩. ⟨hal-01011920⟩