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The multi-objective structural optimisation design to improve the crashworthiness of a multi-cell structure for high-speed train
International Journal of Crashworthiness ( IF 1.9 ) Pub Date : 2020-06-10 , DOI: 10.1080/13588265.2020.1773739
Jiehao Chen 1, 2, 3 , Ping Xu 1, 2, 3 , Shuguang Yao 1, 2, 3 , Jie Xing 1, 2, 3 , Zhengwei Hu 1, 2, 3
Affiliation  

Abstract

This article addresses the energy absorption and crashworthiness optimisation of a multi-cell energy-absorbing structure which is composed of orthohexagonal tubes and connecting column under dynamic impact loading. In this work, a finite element model was established and effectively verified using experimental data. To explore the effects of each structural part length parameters on crashworthiness characteristics such as the specific energy absorption (SEA) and the impacting force efficiency (IFE). The influence of design variables on the impact response is evaluated based on the parametric study of surrogate model. The results show that side lengths at different locations have different effects on SEA and IFE. The characteristics and trends of different variables are different. In addition, based on the surrogate models, to maximise the SEA and IFE under the constraint of design space, multi-objective optimisation design was carried out using multi-objective genetic algorithm. The optimised structure has significant improvement in SEA, IFE and space.



中文翻译:

提高高速列车多单元结构耐撞性的多目标结构优化设计

摘要

本文研究了由正六角管和连接柱组成的多单元吸能结构在动态冲击载荷下的吸能和耐撞性优化。在这项工作中,建立了一个有限元模型,并使用实验数据进行了有效验证。探讨各结构件长度参数对比能量吸收(SEA)和冲击力效率(IFE)等耐撞特性的影响。基于代理模型的参数化研究,评估设计变量对冲击响应的影响。结果表明,不同位置的边长对SEA和IFE的影响不同。不同变量的特征和趋势是不同的。此外,基于代理模型,为最大化设计空间约束下的SEA和IFE,采用多目标遗传算法进行多目标优化设计。优化后的结构在SEA、IFE和空间上都有显着提升。

更新日期:2020-06-10
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