Optimization Design of Automotive Body Stiffness Using a Boundary Hybrid Genetic Algorithm

被引：3

作者：

Zhong, Haolong ^{[1
]}

Xu, Ting ^{[1
]}

Yang, Jianglin ^{[1
]}

Sun, Meng ^{[1
]}

Gao, Fei ^{[2
]}

机构：

[1] Ji Hua Lab, Foshan 528200, Peoples R China

[2] State Key Lab Automot Simulat & Control, Changchun 130025, Peoples R China

来源：

MACHINES | 2022年 / 10卷 / 12期

关键词：

thin-walled beam transfer matrix method; BIW structure; boundary hybrid genetic algorithm; lightweight design; BEAM;

D O I：

10.3390/machines10121171

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

At the conceptual design stage, it is critical to use appropriate structural analysis and optimization methods. The thin-walled beam transfer matrix method (TBTMM) is adopted to establish the mathematical model of the simplified vehicle body-in-white (BIW) structure in this paper and compare it with the results of the finite element method (S-FEM) to verify the approach. In addition, on the basis of the boundary simulation genetic algorithm (BSGA) and local search procedure, a boundary hybrid genetic algorithm (BHGA) is proposed. BHGA is benchmarked on 20 test functions and is compared with current meta-heuristic algorithms to prove its effectiveness and universality. Finally, considering the bending and torsional stiffness constraints, BIW conceptual model is lightweight and designed with an optimizer.

引用

页数：18