不同冲击工况下蜂窝填充薄壁结构的耐撞性能
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  • 英文篇名:Crashworthiness Research of Honeycomb-Filled Thin-Walled Structure Under Multi-Impacting Cases
  • 作者:张勇 ; 闫晓刚 ; 曾意 ; 赖雄鸣
  • 英文作者:ZHANG Yong;YAN Xiaogang;ZENG Yi;LAI Xiongming;College of Mechanical Engineering and Automation,Huaqiao University;
  • 关键词:蜂窝填充结构 ; 冲击工况 ; 耐撞性能 ; 近似技术
  • 英文关键词:honeycomb-filled structure;;impact conditions;;crashworthiness;;approximate technology
  • 中文刊名:SHJT
  • 英文刊名:Journal of Shanghai Jiaotong University
  • 机构:华侨大学机电及自动化学院;
  • 出版日期:2019-01-28
  • 出版单位:上海交通大学学报
  • 年:2019
  • 期:v.53;No.395
  • 基金:国家自然科学基金(51675190);; 福建省高等学校新世纪优秀人才支持计划资助项目
  • 语种:中文;
  • 页:SHJT201901012
  • 页数:8
  • CN:01
  • ISSN:31-1466/U
  • 分类号:81-88
摘要
提出了一种方形蜂窝填充薄壁复合结构,并采用实验研究与数值分析的方法研究了12种冲击工况下蜂窝填充薄壁结构与相应的非填充(薄壁空管)结构的耐撞性能.同时,结合Kriging近似技术与小种群遗传算法对蜂窝填充薄壁结构开展数值优化设计.结果表明,在各种冲击工况下,蜂窝填充薄壁结构吸收的能量都高于薄壁空管结构,且冲击的角度和速度对蜂窝填充薄壁结构吸能性能影响显著.在相同的冲击速度下,蜂窝填充薄壁结构吸收的能量随着冲击角度的增大而降低;在相同的冲击角度下,蜂窝填充薄壁结构吸收的能量随着冲击速度的增大而提高.对Kriging近似技术与小种群遗传算法优化所得蜂窝填充薄壁结构进行最优参数匹配,能够改善蜂窝填充薄壁结构的吸能性能.
        A square honeycomb-filled thin-wall composite structure is proposed,and the crashworthiness of honeycomb filled structure and corresponding unfilled(thin-walled empty tube)structures under 12 kinds of impact conditions are systematically studied by experimental research and numerical analysis.At the same time,numerical optimization design of honeycomb filled structure is carried out by combining Kriging approximation technique and small population genetic algorithm.The results show that under various impact conditions,the energy absorption of the honeycomb filled structure is higher than that of the thinwalled empty tube structure,and the impact angle and velocity have significant effects on the energy absorption performance of the honeycomb filled structure.At the same impact velocity,the energy absorption of the honeycomb filled structure decreases as the impact angle increases.At the same impact angle,the energy absorption of the filled structure increases as the impact velocity increases.The Kriging approximation technique and the small population genetic algorithm optimize the optimal parameter matching of the honeycomb filled structure obtained by optimizing the honeycomb filled structure,which can improve the energy absorption of the honeycomb filled structure.
引文
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