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

Xie Hui; Chen Long; Li Fan

doi:10.13433/j.cnki.1003-8728.2016.1025

Volume 35 Issue 10

Oct. 2016

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Article Navigation > Mechanical Science and Technology for Aerospace Engineering > 2016 > 35(10): 1624-1628

Xie Hui, Chen Long, Li Fan. Application on Variable Complexity Models for Vehicle Safety Based on RBF Meta-modeling Technique[J]. Mechanical Science and Technology for Aerospace Engineering, 2016, 35(10): 1624-1628. doi: 10.13433/j.cnki.1003-8728.2016.1025

Citation:

Xie Hui, Chen Long, Li Fan. Application on Variable Complexity Models for Vehicle Safety Based on RBF Meta-modeling Technique[J]. Mechanical Science and Technology for Aerospace Engineering, 2016, 35(10): 1624-1628. doi: 10.13433/j.cnki.1003-8728.2016.1025

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

doi: 10.13433/j.cnki.1003-8728.2016.1025

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

Received Date: 2014-12-29
Publish Date: 2016-10-05

Abstract

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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References(15)

References

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