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Multidisciplinary Lightweight Optimization for Front Impact Structure of Body Frame Based on Active and Passive Safety

Author

Listed:
  • Tingting Wang

    (School of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450000, China)

  • Mengjian Wang

    (School of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450000, China)

  • Xia Li

    (School of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450000, China)

  • Dongchen Qin

    (School of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450000, China)

Abstract

The Analytic Target Cascading (ATC) is an effective method for solving hierarchical Multidisciplinary Design Optimization (MDO) problems. At the same time, this method suffers from poor convergence and low accuracy, which is caused by the inconsistency of system constraints. In this paper, a novel ATC method based on dynamic relaxation factor is proposed. The dynamic relaxation factor of consistency constraint is added in the system level and is adjusted by the deviation of the linking variables between the levels to ensure the feasible region of the design space. The effectiveness and accuracy of this method are verified by a mathematical example. This method is used to solve the lightweight problem of the trussed front part of the vehicle body frame based on active and passive safety to achieve the collaborative optimization of lightweight trussed frame, crash safety, and aerodynamic characteristics. The important value of the novel ATC method based on dynamic relaxation factor in engineering applications is proven.

Suggested Citation

  • Tingting Wang & Mengjian Wang & Xia Li & Dongchen Qin, 2021. "Multidisciplinary Lightweight Optimization for Front Impact Structure of Body Frame Based on Active and Passive Safety," Mathematics, MDPI, vol. 9(8), pages 1-20, April.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:8:p:907-:d:538909
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    References listed on IDEAS

    as
    1. Ze-Rui Xiang & Jin-Yi Zhi & Jun-Hui Huang & Hong-Jun Kang & Tian Li & Peng-Fei Gao & Fang Li, 2019. "A systematic approach for streamlined head form design and evaluation of Chinese high-speed train," International Journal of Rail Transportation, Taylor & Francis Journals, vol. 7(2), pages 117-139, April.
    2. Wenguang Wu & Debiao Zou & Jian Ou & Lin Hu, 2020. "Adaptive Cruise Control Strategy Design with Optimized Active Braking Control Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-10, July.
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