Crashworthiness design and multi-objective optimization of bionic gradient circular multi-cell structure

被引:0
作者
Gong, Chao [1 ,2 ]
Yan, Hang [1 ]
Chong, Qi [1 ]
Liu, Yu [3 ]
机构
[1] Hefei Univ Technol, Sch Automot & Transportat Engn, Hefei, Peoples R China
[2] Luzhou Rongda Intelligent Transmiss Ltd Co, Luzhou, Peoples R China
[3] China Automot Engn Res Inst Ltd Co, Chongqing, Peoples R China
关键词
Bionic design; energy-absorbing structures; crashworthiness; gradient circular multi-cell; multi-objective optimization; prediction model; THIN-WALLED STRUCTURES; ENERGY-ABSORPTION CHARACTERISTICS; THEORETICAL PREDICTION; CRUSHING ANALYSIS; GRADED THICKNESS; TUBES;
D O I
10.1080/15376494.2025.2484430
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
As bionic design principles have been widely used in the design of energy-absorbing structures in recent years, this paper proposes a new bionic gradient circular multi-cell structure (BGCM) combining gradient and micro-circular features inspired by nature, such as bamboo and beetles, to enhance crashworthiness in energy-absorbing structures. A finite element model of the BGCM is developed and validated against experimental data, showing a maximum error of 7%. Comparative analysis between the bionic gradient multi-cell round tube (BGM) and BGCM demonstrates that the combination of gradient and micro-circular structures improves energy absorption capacity and load stability, yielding a 50% average increase in specific absorbed energy (SEA). The optimal cross-sectional structure of the bionic thin-walled tube was also selected using the E-TOPSIS method, and the BGCM structure exhibited excellent crashworthiness when the number of cell elements was 8. Additionally, the BGCM-8 has been optimized using the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) for SEA and Initial Peak Force (IPF) with emphasis on wall thickness t and radius r. The comparison between the prediction model and the finite element model shows a maximum error of 0.4%, confirming the model's high accuracy in predicting BGCM mechanical behavior.
引用
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页数:15
相关论文
共 85 条
[11]   Experimental and theoretical study on crashworthiness of star-shaped tubes under axial compression [J].
Deng, Xiaolin ;
Liu, Wangyu ;
Lin, Zhenqiong .
THIN-WALLED STRUCTURES, 2018, 130 :321-331
[12]  
Dimas Agustinus, 2014, Applied Mechanics and Materials, V660, P578, DOI 10.4028/www.scientific.net/AMM.660.578
[13]   Multi-cell energy-absorbing structures with hollow columns inspired by the beetle elytra [J].
Du, Jianxun ;
Hao, Peng ;
Liu, Mabao ;
Scarpa, Fabrizio .
JOURNAL OF MATERIALS SCIENCE, 2020, 55 (10) :4279-4291
[14]   On design optimization for structural crashworthiness and its state of the art [J].
Fang, Jianguang ;
Sun, Guangyong ;
Qiu, Na ;
Kim, Nam H. ;
Li, Qing .
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2017, 55 (03) :1091-1119
[15]   Recent advances in surrogate-based optimization [J].
Forrester, Alexander I. J. ;
Keane, Andy J. .
PROGRESS IN AEROSPACE SCIENCES, 2009, 45 (1-3) :50-79
[16]   The axial crushing performance of bio-inspired hierarchical multi-cell hexagonal tubes [J].
Gao, Zhipeng ;
Zhang, Hai ;
Zhao, Jian ;
Ruan, Dong .
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2023, 239
[17]   Crashworthiness analysis and optimization of lotus-inspired bionic multi-cell circular tubes [J].
Gong, Chao ;
Hu, Yong ;
Bai, Zhonghao .
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES, 2023, 30 (24) :4996-5014
[18]   On the crashworthiness performance of novel hierarchical multi-cell tubes under axial loading [J].
Gong, Chao ;
Bai, Zhonghao ;
Wang, Yulong ;
Zhang, Linwei .
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2021, 206
[19]   Crashworthiness analysis of bionic thin-walled tubes inspired by the evolution laws of plant stems [J].
Gong, Chao ;
Bai, Zhonghao ;
Lv, Jiyuan ;
Zhang, Linwei .
THIN-WALLED STRUCTURES, 2020, 157
[20]   Crashworthiness analysis of okra biomimetic corrugated multi-cellular structure [J].
Guo, Weinian ;
Yang, Liting ;
Xu, Ping ;
Li, Shaoying ;
Yan, Wentao ;
Shen, Zhongling ;
Yao, Shuguang ;
Yang, Chengxing .
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2024, 280