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个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职:机械工程学院党委书记
其他任职:机械工程学院党委书记
性别:男
毕业院校:密歇根大学
学位:博士
所在单位:机械工程学院
学科:车辆工程
办公地点:综合实验二号楼(海涵楼)317B
电子邮箱:qichang@dlut.edu.cn
Performance assessment and optimal design of hybrid material bumper for pedestrian lower extremity protection
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论文类型:期刊论文
发表时间:2020-01-01
发表刊物:INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
收录刊物:EI、SCIE
卷号:165
ISSN号:0020-7403
关键字:Pedestrian protection; Lower extremity injury; Bumper; Transport Research Laboratory (TRL) legform; Multi-objective optimization
摘要:Lower extremity injuries have exhibited a great proportion in pedestrian-vehicle accidents. This study aims to assess the performance of an innovative aluminum-steel hybrid material bumper for pedestrian lower extremity protection. Finite element (FE) models of the hybrid bumper and its two single-material counterparts were built, validated, and integrated into an automotive front-end structure. The Transport Research Laboratory (TRL) legform model was used to obtain values of the lower extremity injury indicators including the knee-bending angle alpha, the knee-shearing displacement Disp, and the tibia acceleration Acc, upon impacting on the three types of bumpers. Numerical results showed that the aluminum and the hybrid bumpers result in much less pedestrian lower extremity injuries than the steel bumper due to the lower stiffness and strength of the constitutive material. Besides, the hybrid bumper is superior to its homogeneous counterparts as to the requirements for both pedestrian protection at low-speed and load transfer at high-speed crashes. Moreover, multi-objective optimization designs (MOD) of the three bumpers were performed to minimize the pedestrian's lower extremity injuries, by means of the non-dominated Sorting Genetic Algorithm (NSGA-II) and the radial basis function (RBF) meta-models. The optimal results confirmed the greatest potential of the hybrid bumper for pedestrian lower extremity protection. By virtue of the entropy weight method to determine the weighting factor of each injury indicator, Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) was used to sort the obtained Pareto designs and to select the comprehensive optimal bumpers. The TOPSIS optimum of the hybrid bumper is much closer to the 'utopian point', showing again its advantages over the homogeneous counterparts for pedestrian lower extremity protection in pedestrian-vehicle accidents.