Liang Rui, Tang Xuebang, Huang Jie, Bastien Christophe, Zhang Cheng, Tuo Wangjie
School of Automobile Engineering, Guilin University of Aerospace Technology, Guilin, 541004, China.
Academic Affairs Office, Guilin University of Aerospace Technology, Guilin, 541004, China.
Heliyon. 2024 Sep 13;10(18):e37828. doi: 10.1016/j.heliyon.2024.e37828. eCollection 2024 Sep 30.
Bionic tubes are of interest in vehicle engineering due to their superior crashworthiness potential. This study proposes a crashworthiness response investigation and machine learning-based multi-objective optimization of pine cone-inspired muti-celled tubes (PCMTs). The base computer PCMT model was correlated using existing experiments, followed by a dynamic response evaluation of different PCMT geometrical and thickness configurations to assess their structural performance. Surrogate models of these PCMTs were then constructed using machine learning algorithms, and their main and interaction effects were analyzed. A non-dominated sorting genetic algorithm II (NSGA-II) approach was employed to perform a multi-objective optimization. The results demonstrate that thickness change had more effect on the initial peak force (IPF) and the mean crushing force (MCF) than the specific energy absorption (SEA). Besides, due to the coupling effect, IPF, MCF and SEA of the optimal design solution of the PCMTs could reach a 36.82 %, 61.66 % and 72.95 % increase than the sum case, suggesting that embedding inner tubes could significantly increase energy absorption with a relative minor IPF increase. Moreover, the MCF and SEA of optimal design gave an average difference of 18.01 % and 5.91 % from the original tubes. PCMTs, therefore, could be used as an ideal energy absorption structure in the vehicle body structures.
仿生管因其卓越的防撞性能潜力而在车辆工程领域备受关注。本研究提出了一种基于松果启发的多胞管（PCMTs）的防撞响应研究及基于机器学习的多目标优化方法。利用现有的实验对基础计算机PCMT模型进行了关联，随后对不同PCMT几何形状和厚度配置进行了动态响应评估，以评估其结构性能。然后使用机器学习算法构建了这些PCMTs的代理模型，并分析了它们的主要和交互效应。采用非支配排序遗传算法II（NSGA-II）进行多目标优化。结果表明，厚度变化对初始峰值力（IPF）和平均压溃力（MCF）的影响比对比能量吸收（SEA）的影响更大。此外，由于耦合效应，PCMTs最优设计方案的IPF、MCF和SEA相较于总和情况可分别提高36.82%、61.66%和72.95%，这表明嵌入内管可显著增加能量吸收，同时IPF的增加相对较小。此外，最优设计的MCF和SEA与原始管相比平均差异分别为18.01%和5.91%。因此，PCMTs可作为车身结构中理想的能量吸收结构。
