重庆理工大学学报（自然科学版）2017，Vol.31Issue(10)：35-42,55,9.DOI:10.3969/j.issn.1674-8425(z).2017.10.006
汽车吸能盒诱导槽结构多目标优化设计
Multi-Objective Optimization Design of Inducing Grooves for Crash-Box
摘要
Abstract
Crash box is the main energy absorbing component of the collision avoidance system,which can absorb most of the energy in a short time to protect the safety of the driver and the passenger.In order to study the influence of the location and depth of the inducing groove on the energy absorption performance,two kinds of crash box models with non-inducing groove and uniformly distributed one were established.This work took the compression displacement and peak collision force as the optimization objectives,and the depth and spacing of the inducing groove as the design variables.The sample points were selected by Latin hypercube design of experiment,and the second-order polynomial response surface method was used to establish the optimization model.The parameter of the crash box was optimized based on the the archived-based micro genetic algorithm.The optimization results shown that the energy absorption performance of optimized crash box was effectively improved under the premise of meeting the design requirements.The results of this paper can provide a theoretical basis for the design of vehicle crash box.关键词
吸能盒/存档微遗传算法/响应面模型/诱导槽Key words
crash box/archive-based micro genetic algorithm/response surface model/inducing groove分类
交通运输引用本文复制引用
刘中华,李雪松,曲天雷..汽车吸能盒诱导槽结构多目标优化设计[J].重庆理工大学学报（自然科学版）,2017,31(10):35-42,55,9.基金项目
国家自然科学基金资助项目(5137507) （5137507）
