China Mechanical Engineering ›› 2021, Vol. 32 ›› Issue (18): 2262-2267.

### Optimization of Train Crash Energy Allocation Scheme with Multi-objective Evolutionary Algorithm

LYU Tianyi;XIAO Shoune;ZHU Tao;ZHANG Jingke;WANG Xiaorui;LI Yuru;YANG Guangwu;YANG Bing

1. State Key Laboratory of Traction Power of Southwest Jiaotong University,Chengdu,610031
• Online:2021-09-25 Published:2021-10-14

### 采用多目标进化算法的列车碰撞能量配置方案优化

1. 西南交通大学牵引动力国家重点实验室，成都，610031
• 通讯作者: 朱涛（通信作者），男，1984年生。西南交通大学牵引动力国家重点实验室副研究员。研究方向为机车车辆结构设计、寿命预测和安全性评估，发表论文46篇。 E-mail:zhutao034@swjtu.cn。
• 作者简介:吕天一，男，1997年生。西南交通大学牵引动力国家重点实验室硕士研究生。研究方向为列车碰撞动力学，发表论文1篇。E-mail:lyutianyi@my.swjtu.edu.cn。
• 基金资助:
国家自然科学基金（52172409）；
牵引动力国家实验室自主课题（2019TPL＿T13）

Abstract: In order to study the effects of impedance forces of couplings on energy absorption in train crash, a dynamics model of train longitudinal crash was established. Taking maximum average acceleration, maximum instantaneous acceleration, and maximum plastic deformation of car body as optimization objectives, while taking the impedance forces of different couplings as optimization parameters, optimal solution set was obtained by NSGA-Ⅱ algorithm. And then, a comprehensive evaluation system for the optimization objectives was established, and the optimal solution was selected. Crash acceleration of the train after optimization is less than that of train before optimization, which is due to the smaller interfacial force difference between two ends of the vehicles.

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