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Volume 36 Issue 5
Oct 2022
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Chinese Journal of High Pressure Physics  > 2022  >  36(5): 054205.
LIU Feiming, LEI Jianyin, QIAO Li, LIU Zhifang. Crashworthiness Optimization of Horsetail-Bionic Thin-Walled Structures[J]. Chinese Journal of High Pressure Physics, 2022, 36(5): 054205. doi: 10.11858/gywlxb.20220516
Citation: LIU Feiming, LEI Jianyin, QIAO Li, LIU Zhifang. Crashworthiness Optimization of Horsetail-Bionic Thin-Walled Structures[J]. Chinese Journal of High Pressure Physics, 2022, 36(5): 054205. doi: 10.11858/gywlxb.20220516
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Crashworthiness Optimization of Horsetail-Bionic Thin-Walled Structures

doi: 10.11858/gywlxb.20220516

  • Institute of Applied Mechanics, College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, Shanxi, China

  • Received Date: 18 Feb 2022
  • Rev Recd Date: 20 May 2022
  • Issue Publish Date: 11 Oct 2022
    Abstract
  • Numerical model of horsetail-bionic thin-walled structure (HBTS) under the lateral impact was constructed using ABAQUS. The effects of wall thickness, inner diameter and number of ribs on the crashworthiness performance and deformation modes were analyzed. The results indicate that the specific energy absorption and peak load of HBTS can be significantly enhanced with the increase of the number of ribs and the overall wall thickness. The changes in the wall thickness of each part significantly affects its deformation mode and crashworthiness performance. Based on the above results, the optimization software modeFRONTIER and the finite element analysis software ABAQUS were integrated to explore the influence of five design parameters, in terms of wall thickness, number of ribs, inner diameter and so on. Finite element models were uniformly distributed on the design space through parametric modeling method, hence the Kriging surrogate models for the specific energy absorption and peak load were established. Then, Pareto front was obtained using Kriging surrogate model-based multi-objective optimization method for the specific energy absorption maximization and peak load minimization simultaneously in one model. Finally, the distribution of each HBTS’s design parameters on Pareto front was analyzed and the optimization results were verified. The method is expected to provide new thoughts for the optimization design of the thin-walled structure.

     

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