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Mathematical Problems in Engineering
Volume 2014 (2014), Article ID 965157, 9 pages
http://dx.doi.org/10.1155/2014/965157
Research Article

An Adaptive Metamodel-Based Optimization Approach for Vehicle Suspension System Design

1College of Mechanical and Vehicle Engineering, Hunan University, Changsha, Hunan 410082, China
2School of Software, Tsinghua University, Beijing 100084, China
3Department of Engineering, Faculty of Engineering and Science, University of Agder, 4898 Grimstad, Norway

Received 8 October 2013; Accepted 21 November 2013; Published 4 February 2014

Academic Editor: Hui Zhang

Copyright © 2014 Qinwen Yang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The performance index of a suspension system is a function of the maximum and minimum values over the parameter interval. Thus metamodel-based techniques can be used for designing suspension system hardpoints locations. In this study, an adaptive metamodel-based optimization approach is used to find the proper locations of the hardpoints, with the objectives considering the kinematic performance of the suspension. The adaptive optimization method helps to find the optimum locations of the hardpoints efficiently as it may be unachievable through manually adjusting. For each iteration in the process of adaptive optimization, prediction uncertainty is considered and the multiobjective optimization method is applied to optimize all the performance indexes simultaneously. It is shown that the proposed optimization method is effective while being applied in the kinematic performance optimization of a McPherson suspension system.