Open Access

ARTICLE

Multi-Disciplinary Optimization for Multi-Objective Uncertainty Design of Thin Walled Beams

by Fangyi Li¹, Guangyao Li², Guangyong Sun², Zhen Luo⁴, Zheng Zhang²

1 School of Automotive and Mechanical Engineering, Changsha University of Science and Technol-ogy, Changsha, Hunan Province 410114, China
2 State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Me-chanical and Vehicle Engineering, Hunan University, Changsha 410082, China
3 Corresponding author. E-mail address: gyli@hnu.cn
4 School of Civil and Environmental Engineering, The University of New South Wales, Sydney,NSW 2052, Australia

Computers, Materials & Continua 2010, 19(1), 37-56. https://doi.org/10.3970/cmc.2010.019.037

Abstract

The focus of this paper is concentrated on multi-disciplinary and multi-objective optimization for thin walled beam systems considering safety, normal mode, static loading-bearing and weight, in which the uncertainties of the parameters are described via intervals. The size and shape of the cross-section are treated as design parameters during optimization. Considering the lightweight and safety, the design problem is formulated with two individual objectives to measure structural weight and maximum energy absorption, respectively, constrained by the average force, normal mode and maximum stress. The optimization problem with uncertainties is further transformed into a deterministic optimization based on interval number programming. The approximation models, coupled with the design of experiment (DOE) technique, are employed to construct objective functions and constraints. The uncertain optimization problem characterized with these approximation models is performed and applied to a practical thin walled beam design problems.

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Keywords

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