共 56 条
Parametric modeling and multiobjective crashworthiness design optimization of a new front longitudinal beam
被引:42
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.
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页码:1789 / 1812
页数:24
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