摘要
为提升车辆在低速(通常小于15 km/h)碰撞工况下的防撞性能,该文给出一种新型蜂窝铝结构吸能盒。建立了低速碰撞仿真有限元模型,利用LS-DYNA进行碰撞分析。选取新型蜂窝铝吸能盒结构中钣金件的厚度、几何形状等设计参数,建立该问题的数学优化模型,利用帕累托最优理论和多目标遗传算法,得到该优化问题的帕累托解集空间,并运用标准边界交叉(Normal-boundary intersection,NBI)法找出最优设计方案。与传统结构吸能盒相比,在不增加结构质量的前提下,该吸能盒能够显著提升车辆在低速碰撞工况下的防撞性能。
In order to improve the vehicle crashworthiness under low-speed（ usually less than 15 km / h）collision conditions,a new crash box with the aluminum honeycomb structure is proposed here. A finite element model for the low-speed collision analysisis is set up and the analysis is carried out by using the LS-DYNA. By choosing the thickness and the shape of the aluminum honeycomb crash box structure as design parameters,the mathematical optimization model is established. The multi-objective genetic algorithm and the Pareto optimality theory are applied to obtain the Pareto solution set,then the normal-boundary intersection method is used to find the optimal design scheme. Compared with the traditional structure,the new structure can improve the performance of the vehicle under the low-speed impact condition without gaining much more weight.
作者
王宗千
钱明军
周云波
田达笠
张鑫磊
Wang Zongqian Qian Mingjun Zhou Yunbo Tian Dali Zhang Xinlei(School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China The 63969 Troops of the Chinese People＇s Liberation Army,Nanjing 210028 ,China Tianjin Automotive Test Center,China Automotive Technology and Research Center,Tianjing 300300,China)
出处
《南京理工大学学报》
EI
CAS
CSCD
北大核心
2016年第5期599-606,共8页
Journal of Nanjing University of Science and Technology
基金
国家自然科学基金(51405232)
关键词
低速碰撞
蜂窝结构
帕累托最优
多目标遗传算法
标准边界交叉法
low-speed collision
honeycomb structures
Pareto optimality
multi-objective genetic algorithm
normal-boundary intersection method
