Machines (Dec 2022)

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

  • Haolong Zhong,
  • Ting Xu,
  • Jianglin Yang,
  • Meng Sun,
  • Fei Gao

DOI
https://doi.org/10.3390/machines10121171
Journal volume & issue
Vol. 10, no. 12
p. 1171

Abstract

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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.

Keywords