Parametric modeling and multiobjective crashworthiness design optimization of a new front longitudinal beam

被引:41
作者
Duan, Libin [1 ]
Jiang, Haobin [1 ]
Geng, Guoqing [1 ]
Zhang, Xuerong [1 ]
Li, Zhanjiang [2 ]
机构
[1] Jiangsu Univ, Sch Automot & Traff Engn, Zhenjiang 212013, Jiangsu, Peoples R China
[2] Nanjing Yueboo Power Syst Co Ltd, Nanjing, Jiangsu, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Parametric modeling; Multiobjective crashworthiness optimization; Front longitudinal beam (FLB); Variable rolled blank (VRB); Variable cross-sectional shape (VCS); THIN-WALLED STRUCTURES; RELIABILITY-BASED OPTIMIZATION; SUPPORT VECTOR REGRESSION; ENERGY-ABSORPTION; CRASHING ANALYSIS; CRUSHING ANALYSIS; SQUARE TUBES; THICKNESS; BEHAVIOR; SYSTEMS;
D O I
10.1007/s00158-018-2134-9
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The front longitudinal beam (FLB) is the most important energy-absorbing and crashing force-transmitting structure of a vehicle under front-impact collision. For better weight reduction and crashworthiness of the FLB, a new structure, variable rolled blank-variable cross-sectional shape FLB (VRB-VCS FLB), is proposed. It has both the continuous variation of thickness and variable cross-sectional shape in space. As the thickness distribution and cross-sectional shape change continuously, the proposed structure evolves into three distinct forms, i.e., the uniform-thickness FLB, variable rolled blank FLB, and variable cross-sectional shape FLB. However, literature on parametric modeling and crashworthiness design optimization of the VRB-VCS FLB is very limited. This paper proposes a parametric modeling method of VRB-VCS FLB with manufacturing constraints. Multiobjective crashworthiness design optimization is performed to explore the lightweightness and crashworthiness performance of the VRB-VCS FLB. Firstly, thickness distribution and cross-sectional shape parameters are defined. Secondly, local parametric subsystem front-impact model is established to balance accuracy and efficiency. Thirdly, a multiobjective optimization model of VRB-VCS FLB is constructed. Finally, a fully automated design of experiment platform is established to improve the data collection efficiency, and epsilon-support vector regression technique and non-dominated sorting genetic algorithm II are utilized to search the Pareto optimal frontier. The numerical results show that the lightweightness and crashworthiness of the VRB-VCS FLB are significantly improved when compared with the uniform-thickness FLB.
引用
收藏
页码:1789 / 1812
页数:24
相关论文
共 56 条
[1]   Theoretical, numerical, and experimental study of dynamic axial crushing of thin walled pentagon and cross-shape tubes [J].
Ali, M. ;
Ohioma, E. ;
Kraft, F. ;
Alam, K. .
THIN-WALLED STRUCTURES, 2015, 94 :253-272
[2]   Material constitutive law for large strains and strain rates [J].
Alves, M .
JOURNAL OF ENGINEERING MECHANICS-ASCE, 2000, 126 (02) :215-218
[3]  
[Anonymous], 2007, LS DYNA KEYW US MAN
[4]  
[Anonymous], 2005, INT SHEET METAL REV
[5]   Crashworthiness of tapered thin-walled S-shaped structures [J].
Beik, Varshan ;
Fard, Mohammad ;
Jazar, Reza .
THIN-WALLED STRUCTURES, 2016, 102 :139-147
[6]   Optimizing the design of automotive S-rail using grey relational analysis coupled with grey entropy measurement to improve crashworthiness [J].
Cai, Kefang ;
Wang, Dengfeng .
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2017, 56 (06) :1539-1553
[7]   Investigation of mechanical behavior of energy absorbers in expansion and folding modes under axial quasi-static loading in both experimental and numerical methods [J].
Chahardoli, S. ;
Nia, A. Alavi .
THIN-WALLED STRUCTURES, 2017, 120 :319-332
[8]   Combining grey relation and TOPSIS concepts for selecting an expatriate host country [J].
Chen, MF ;
Tzeng, GH .
MATHEMATICAL AND COMPUTER MODELLING, 2004, 40 (13) :1473-1490
[9]   A multi-objective reliability-based optimization of the crashworthiness of a metallic-GFRP impact absorber using hybrid approximations [J].
Cid Montoya, M. ;
Costas, M. ;
Diaz, J. ;
Romera, L. E. ;
Hernandez, S. .
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2015, 52 (04) :827-843
[10]   Analysis of support vector regression for approximation of complex engineering analyses [J].
Clarke, SM ;
Griebsch, JH ;
Simpson, TW .
JOURNAL OF MECHANICAL DESIGN, 2005, 127 (06) :1077-1087