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
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
收藏
页数:18
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