点击次数：

所属单位：能源与动力学院

发表刊物：INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES

关键字：Crash box Negative Poisson's ratio Multi-objective optimization Structural bionics Functional gradient

摘要：In order to improve the crashworthiness and energy absorption performance, this paper introduces the structural bionics to the structural design of crash box and proposes a novel structure. Taking the human tibia as a bionic object, the novel crash box is composed of a concave structure shell and an inner core filled with negative Poisson's ratio (NPR) structure material. In view of the gradient characteristics of the cancellous bone structure of the tibia, the NPR inner core is designed as a functional gradient distribution structure along the longitudinal direction of the crash box. Based on this, by combining the optimal Latin hypercube design and response surface methodology, a multi-objective optimization design is conducted for the novel crash box based on archive-based micro genetic algorithm (AMGA) and improved non-dominated sorting genetic algorithm (NSGA-II). Simulation results show that the novel crash box optimized by NSGA-II algorithm can improve the energy absorption characteristics and comprehensive crashworthiness more effectively, and make the collision process controllable and stable. The results of this paper can provide some reference for the design and optimization of the crash box. (C) 2018 Elsevier Ltd. All rights reserved.

ISSN号：0020-7403

是否译文：否

发表时间：2018-04-01

合写作者：Li, Yan,李栗燕,赵万忠,Zou, SongChun,周光明,F70206535

通讯作者：王春燕,赵万忠