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首页> 外文期刊>Materials & design >Crushing analysis and multi-objective optimization design for bionic thin-walled structure
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Crushing analysis and multi-objective optimization design for bionic thin-walled structure

机译：仿生薄壁结构的破碎分析与多目标优化设计

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摘要

Thin-walled structure has gained increasing attention and been widely used in the field of mechanical engineering due to their extraordinary energy absorption capacity and light weight In this paper, we introduced a new energy absorbed structure named as bionic thin-walled structure (BTS) based on the structural characteristics of horsetails. In this study, six kinds of BTSs with different cross-sectional configurations under lateral loading conditions were investigated using nonlinear finite element method through LS-DYNA. According to the numerical results, it can be found that the cell number, inner wall diameter and wall thickness of the BTS had significant effect on the crashworthiness of the structure. In order to obtain the optimal design among the six kinds of BTSs, the six BTSs were optimized using a metamodel-based multi-objective optimization method which was developed by employing polynomial regression (PR) metamodel and multi-objective particle swarm optimization (MOPSO) algorithm. In the optimization process, we aimed to achieve maximum value of specific energy absorption (SEA) and minimum value of maximum impact force (MIF). Meanwhile, we also optimized the traditional thin-walled structures, i.e., the circular and square tubes. Based on the comparison of the Pareto fronts obtained by the multi-objective optimizations, we found that the crashworthiness of the BTSs was better than that of the circular and square tubes and the best BTS among the six kinds of BTSs was different when the limit of MIF was different. And, the optimal designs of the BTSs were found to have excellent energy absorption capacity under lateral impact and could be used in the future vehicle body.
机译：薄壁结构由于其非凡的能量吸收能力和轻质性而受到越来越多的关注，并被广泛用于机械工程领域。在本文中，我们介绍了一种基于仿生薄壁结构（BTS）的新型能量吸收结构。关于马尾的结构特征。本文通过非线性有限元方法，通过LS-DYNA，研究了6种在横向载荷条件下具有不同截面构型的BTS。根据数值结果可以发现，BTS的孔数，内壁直径和壁厚对结构的耐撞性有重要影响。为了在6种BTS中获得最佳设计，采用基于元模型的多目标优化方法对6个BTS进行了优化，该方法是通过多项式回归（PR）元模型和多目标粒子群优化（MOPSO）开发的算法。在优化过程中，我们旨在实现比能量吸收（SEA）的最大值和最大冲击力（MIF）的最小值。同时，我们还优化了传统的薄壁结构，即圆形和方形管。通过多目标优化得到的Pareto前沿的比较，我们发现BTS的耐撞性优于圆管和方管，并且当BTS的极限值不同时，六种BTS中最好的BTS有所不同。 MIF是不同的。并且，发现BTS的最佳设计在横向冲击下具有优异的能量吸收能力，并且可以在未来的车身中使用。

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  • 来源
    《Materials & design》 |2015年第15期|825-834|共10页
  • 作者

    Hanfeng Yin; Youye Xiao; Guilin Wen; Qixiang Qing; Xin Wu;

  • 作者单位

    State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, Hunan 410082. PR China,Key Laboratory of Advanced Design and Simulation Techniques for Special Equipment, Ministry of Education, Hunan University, Changsha, Hunan 410082, PR China;

    State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, Hunan 410082. PR China,Key Laboratory of Advanced Design and Simulation Techniques for Special Equipment, Ministry of Education, Hunan University, Changsha, Hunan 410082, PR China;

    State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, Hunan 410082. PR China,Key Laboratory of Advanced Design and Simulation Techniques for Special Equipment, Ministry of Education, Hunan University, Changsha, Hunan 410082, PR China;

    Key Laboratory of Advanced Design and Simulation Techniques for Special Equipment, Ministry of Education, Hunan University, Changsha, Hunan 410082, PR China;

    Key Laboratory of Advanced Design and Simulation Techniques for Special Equipment, Ministry of Education, Hunan University, Changsha, Hunan 410082, PR China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Thin-walled structure; Bionic structure; Finite element method; Crashworthiness; Multi-objective optimization;

    机译：薄壁结构;仿生结构;有限元法;耐撞性多目标优化;

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