RBF近似模型在汽车碰撞变复杂度建模中的应用

谢晖; 陈龙; 李凡

doi:10.13433/j.cnki.1003-8728.2016.1025

RBF近似模型在汽车碰撞变复杂度建模中的应用

doi: 10.13433/j.cnki.1003-8728.2016.1025

谢晖^1,2,
陈龙^1,2,
李凡²

1.
湖南大学汽车车身先进设计制造国家重点实验室, 长沙 410082;
2.
湖南大学机械与运载工程学院, 长沙 410082

基金项目:

国家科技支撑计划项目（2012BAF12B20）、国家“863”项目（2013AA040605）、2013长沙市科技计划重点项目（K1308116-11）及2013湖南省科技支撑计划重点项目（2014GK4015）资助

详细信息

作者简介:
谢晖(1971-),教授,博士,研究方向为车身制造工艺,danielxie@163.com

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- 文章访问数: 124
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- PDF下载量: 8
- 被引次数: 0
出版历程
- 收稿日期: 2014-12-29
- 刊出日期: 2016-10-05

Application on Variable Complexity Models for Vehicle Safety Based on RBF Meta-modeling Technique

Xie Hui^1,2,
Chen Long^1,2,
Li Fan²

1.
State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Changsha 410082, China;
2.
College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China

摘要

摘要: 针对汽车正面碰撞过程中考虑到车身后部部件结构几乎不发生明显变形的特点，采用最优拉丁超立方试验设计，利用较少的样本点数据在简化模型和高精度模型中建立一个差值补偿近似模型，在此模型和简化模型基础上构造新的样本点数据，利用RBF近似模型建立新的近似模型。利用该方法对以汽车前部7个主要吸能部件的板厚作为设计变量，以整车质量和整车碰撞加速度峰值aB作为优化目标函数的汽车100%正面碰撞的多目标优化问题进行仿真研究，结果表明该方法在保证模型精度的同时能够快速地得到优化值。
- 汽车安全性 /
- 变复杂度 /
- RBF神经网络 /
- 多目标优化
Abstract: Aiming at the complexity characteristics of automobile safety optimization and considering the less deformation of the part of the rear structure, a compensation response surface model was created by generating optimal latin square design through the small sample data spanning the simplified model and high accuracy model. And then, a new RBF(radical basis function)response surface model was established on the basis of new test data which was received through the simplified model and compensation response surface model. The method is applied to vehicle 100% frontal impact multi-objective optimization design for the lightest quality and minimum body B column peak acceleration through selecting 7 parts which influence greater than the others of the front structure. The results show that the method can ensure the model precision, rapid convergence to the optimal solution.
- vehicle safety /
- models /
- design /
- multi-object optimization

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参考文献(15)

[1]	漆维.基于简化模型的车身侧面耐撞性分析与优化[D].长沙:湖南大学,2013:1-70 Qi W. Analysis and optimization of side crashworthiness of auto body based on simplified model[D]. Changsha:Hunan University, 2013:1-70(in Chinese)
[2]	Bosma F, Van Oorschot E. Side impact systems integration using basis sled testing and MADYMO prescribed structural motion simulation[C]//5th European MADYMO User Conference. Cambridge:MADYMO, 2005:86-110
[3]	孙光永,李光耀,龚志辉.基于代理模型的变复杂度方法在板料成形优化中的应用[J].机械工程学报,2009,45(9):201-209 Sun G Y, Li G Y, Gong Z H. Application in sheet metal forming optimization based on variable complexity model of metamodeling technique[J]. Journal of Mechanical Engineering, 2009,45(9):201-209(in Chinese)
[4]	龚春林,袁建平,谷良贤,等.基于响应面的变复杂度气动分析模型[J].西北工业大学学报,2006,24(4):532-535 Gong C L, Yuan J P, Gu L X, et al. Improving variable complexity model (VCM) for aerodynamic analysis[J]. Journal of Northwestern Polytechnical University, 2006,24(4):532-535(in Chinese)
[5]	Sakata S, Ashida F, Zako M. An efficient algorithm for Kriging approximation and optimization with large-scale sampling data[J]. Computer Methods in Applied Mechanics and Engineering, 2004,193(3-5):385-404
[6]	任露泉.试验设计及其优化[M].北京:科学出版社,2009 Ren L Q. Design of experiment and its optimization[M]. Beijing:Science Press, 2009(in Chinese)
[7]	王小川,史峰,郁磊,等.MATLAB神经网络43个案例分析[M].北京:北京航空航天大学出版社,2013 Wang X C, Shi F, Yu L, et al. 43 Case analysis based on MATLAB neural network[M]. Beijing:Beihang University Press, 2013(in Chinese)
[8]	李凡,吴光强,郭建波.基于耐撞性的多学科近似模型预测精度研究[J].汽车科技,2014,(2):6-12 Li F, Wu G Q, Guo J B. Research of multidisciplinary approximation model prediction accuracy based on crashworthiness[J]. Auto Sci-Tech, 2014,(2):6-12(in Chinese)
[9]	陈国栋.基于代理模型的多目标优化方法及其在车身设计中的应用[D].长沙:湖南大学,2012:1-107 Chen G D. Multi-objective optimization method based on metamodel and its applications in vehicle body design[D]. Changsha:Hunan University, 2012:1-107(in Chinese)
[10]	Fang H, Rais-Rohani M, Liu Z, et al. A comparative study of metamodeling methods for multiobjective crashworthiness optimization[J]. Computers & Structures, 2005,83(25-26):2121-2136
[11]	张金换,杜汇良,马春生,等.汽车碰撞安全性设计[M].北京:清华大学出版社,2010 Zhang J H, Du H L, Ma C S, et al. Automotive design for crash safety[M]. Beijing:Tsinghua University Press, 2010(in Chinese)
[12]	胡志远,曾必强,谢书港.基于LS-DYNA和HyperWorks的汽车安全仿真与分析[M].北京:清华大学出版社,2011 Hu Z Y, Zeng B Q, Xie S G. Automotive simulation and analysis for crash safety based on LS-DYNA and HyperWorks[M]. Beijing:Tsinghua University Press, 2011(in Chinese)
[13]	廖代辉,成艾国,钟志华.基于变复杂度近似模型的汽车安全性和轻量化优化[J].中国机械工程,2013,24(15):2118-2121,2129 Liao D H, Cheng A G, Zhong Z H. Study on optimization for automobile safety and lightweight based on variable complexity approximate model[J]. China Mechanical Engineering, 2013,24(15):2118-2121,2129(in Chinese)
[14]	Forsberg J, Nilsson L. On polynomial response surfaces and Kriging for use in structural optimization of crashworthiness[J]. Structural and Multidisciplinary Optimization, 2005,29(3):232-243
[15]	Myers R H, Montgomery D C. Response surface methodology:process and product optimization using designed experiments[M]. New York:Wiley, 1995