Robust design in multibody dynamics - application to vehicle ride-comfort optimizationopen access
- Authors
- Batou, Anas; Soize, Christian; Choi, Chan Kyu; Yoo, Hong Hee
- Issue Date
- Jun-2015
- Publisher
- Elsevier B.V.
- Keywords
- Multibody dynamics; Robust design; Uncertainty quantification
- Citation
- Procedia IUTAM, v.13, pp.90 - 97
- Indexed
- SCOPUS
- Journal Title
- Procedia IUTAM
- Volume
- 13
- Start Page
- 90
- End Page
- 97
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/157148
- DOI
- 10.1016/j.piutam.2015.01.005
- ISSN
- 2210-9838
- Abstract
- 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.
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