Multi-objective Uncertainty Optimization of Occupant Restraint System

被引：0

作者：

Liu X. ^{[1
,2
]}

Fu Q. ^{[1
]}

Yin L. ^{[1
]}

Zhang Z. ^{[1
]}

机构：

[1] Changsha University of Science and Technology, Hunan Province Key Laboratory of Safety Design and Reliability Technology for Engineering Vehicle, Changsha

[2] Chang'an University, Key Laboratory for Automotive Transportation Safety Enhancement Technology of the Ministry of Communication, Xi'an

来源：

Qiche Gongcheng/Automotive Engineering | 2018年 / 40卷 / 05期

关键词：

Approximate model; Local refining; Multi-objective uncertainty optimization; Occupant restraint system;

D O I：

10.19562/j.chinasae.qcgc.2018.05.004

中图分类号：

学科分类号：

摘要：

With consideration of the influence of uncertain parameters of occupant restraint system on occupant safety, a multi-objective uncertainty optimization technique for occupant restraint system is proposed based on the combination of nonlinear interval number programming (NINP) and approximate model with locally-refined mesh. The numerical model for occupant restraint system is corrected according to the results of real vehicle frontal crash tests, and the uncertainty optimization problem is converted into a deterministic optimization problem by using interval order relations. Intergeneration projection genetic algorithm (IP-GA) and micro multi-objective genetic algorithm (μMOGA) are adopted to seek for Pareto solution set meeting the protection performance requirements of occupant restraint system. The results demonstrate that the proposed method can effectively obtain the optimal matching parameters of occupant restraint system with consideration of the effects of uncertainty and hence ensure the safety of vehicle occupants, having an extensive prospect of engineering application in the field of vehicle safety. © 2018, Society of Automotive Engineers of China. All right reserved.

引用

页码：521 / 527

页数：6

共 6 条

[1]

Viana F.A.C., Simpson T.W., Balabanov V., Et al., Metamodeling in multidisciplinary design optimization: How far have we really come?, AIAA Journal, 52, 4, pp. 670-690, (2014)

[2]

Jiang C., Han X., Liu G.R., A nonlinear interval number programming method for uncertain optimization problems, European Journal of Operational Research, 188, pp. 1-13, (2008)

[3]

Zhao Z.H., Han X., Jiang C., Et al., A nonlinear interval-based optimization method with local-densifying approximation technique, Structural and Multidisciplinary Optimization, 42, pp. 559-573, (2010)

[4]

Liu G.P., Han X., Jiang C., A novel multi-objective optimization method based on an approximation model management technique, Computer Methods in Applied Mechanics and Engineering, 197, pp. 2719-2731, (2008)

[5]

Liu G.R., Han X., Computational Inverse Techniques in Nondestructive Evaluation, (2003)

[6]

Yang R.J., Wang N., Tho C.H., Et al., Metamodeling development for vehicle frontal impact simulation, Journal of Mechanical Design, 127, pp. 1014-1020, (2005)

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