Integrated design technique for materials and structures of vehicle body under crash safety considerations

被引:51
作者
Chen, Yuan [1 ,2 ]
Liu, Guiping [1 ,2 ]
Zhang, Zheyi [1 ,2 ]
Hou, Shujuan [1 ,2 ]
机构
[1] Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Hunan, Peoples R China
[2] Hunan Univ, Coll Mech & Vehicle Engn, Changsha 410082, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
Roof crush; Multiobjective optimization; Factor screening; Integrated design; Crashworthiness; MULTIVARIABLE CRASHWORTHINESS OPTIMIZATION; MULTIOBJECTIVE OPTIMIZATION; MULTIDISCIPLINARY DESIGN; REGRESSION; IMPACT; MODEL;
D O I
10.1007/s00158-017-1674-8
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
With the rapid development of the vehicle industry, crashworthiness has become a crucial aspect in vehicle body design. In fact, crashworthiness is a multivariable optimization design problem for a vehicle body, regardless of structure or material. However, when crashworthiness involves a large number of design variables, including both material and structure variables, it is more difficult to deal with. In this paper, an integrated design technique for materials and structures of vehicle body under crash safety consideration is suggested. First, a finite element model of the vehicle body is established according to relevant vehicle safety standards. Then, the material parameters of the vehicle body are set as analytical factors for factor screening. Next, significant factors are obtained using a three-level saturated design integrated with multi-index comprehensive balance analysis and the MaxUr ((3)) method, with an improved evaluation method. These screened material parameters along with the corresponding continuous variables of the structure, are considered as the design variables of the integrated design of the vehicle body. Both the weight and the crashworthiness properties are set as the design objectives. Optimal Latin hypercube sampling and radius basis functions are utilized to construct highly accurate surrogate models. Furthermore, the non-dominated sorting genetic algorithm II is implemented to seek the optimal solutions. Finally, two cases considering the roof module and the frontal module of a vehicle body are analyzed to verify the proposed method.
引用
收藏
页码:455 / 472
页数:18
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