4.7 Article

Experiment and numerical simulation study on the bionic tubes with gradient thickness under oblique loading

期刊

THIN-WALLED STRUCTURES
卷 163, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.tws.2021.107624

关键词

Bionic design; Gradient thickness; Oblique loading; Crashworthiness; Multi-objective optimization

资金

  1. National Natural Science Foundation of China [51775233, 51405191]
  2. Natural Science Foundation of Jilin province [20170101210JC]
  3. CrossDisciplinary Research Support Program for Doctoral Candidates of Jilin University [101832020DJX048]

向作者/读者索取更多资源

This study proposed a bionic tube design with different cross-sectional shapes and gradient thickness, and investigated their energy absorption and deformation performance through simulation and experiments. Design factors affecting the performance of bionic tubes were determined by full-factor tests, and a multi-objective optimization design was conducted to obtain the optimal design.
A class of bionic gradient thickness (BGT) tubes with 2 cross-sectional shapes (circle and rectangle) are proposed. The energy absorption and deformation modes of four thin-walled tubes, including a bionic circular tube (BCT), and a bionic rectangle tube (BRT) with gradient thickness, and the counterpart uniform-thickness (UT) tubes, namely circular tube (CT) and rectangle tube (RT), are analyzed by Ls-Dyna. Before detailed analysis, the simulation and bionic design are verified by quasi-static experiments, which show that the BCT has better deformation than the CT, and the experimental curves also are well consistent with the simulation. The BCT has a better energy absorption capacity when subjected to different oblique loading angles. The selection and parameterization of sample points are studied based on full-factor tests. The design factors significantly affect the specific energy absorption (SEA) and peak force (PF) of the BCT under multi-angle oblique loading. Finally, the multi-objective optimization design considering the load angle is conducted to obtain the optimal design of the BCT. The optimum BCT has a 9.3% higher SEA compared with CT. Moreover, there is a mass reduction of 4% than the CT.

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