The Reliability-based Design Optimization of structures for the vehicle frontal impact based on a probability-convex hybrid model

Li Fangyi1,2 Rong Jianhua1 Hu Lin1 Li Fengling1 Yi Jijun1

Journal of Vibration and Shock ›› 2016, Vol. 35 ›› Issue (3) : 215-220.

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PDF(1272 KB)
Journal of Vibration and Shock ›› 2016, Vol. 35 ›› Issue (3) : 215-220.

The Reliability-based Design Optimization of structures for the vehicle frontal impact based on a probability-convex hybrid model

  • Li Fangyi1,2  Rong Jianhua1  Hu Lin1  Li Fengling1  Yi Jijun1
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Abstract

The reliabiltiy-based design optimization problem of the vehicle frontal impact based on probability-convex hybrid model is investigated in this paper. According to the different types of uncertainty parameters for the thickness and material parameters of an absorbing energy structure, probability and convex set models are adopted to describe the uncertainties, respectively. The reliability indices for the vehicle frontal impact safety are choosed as reliability constraints.The weight of the absorbing energy structure is selected as the objective of optimization.The optimization incorporating mixed reliability indices constraints is then formulated for the vehicle frontal impact design problem.The Kriging models for objective and constraint functions are constructed with Latin hypercube experiment design. The reliability indices are solved by a performance measure method. The nested optimization is transformed into a single-level optimizastion problem by using the Sequential Optimization and Reliability Assessment (SORA) based on shifting factors. Examples have showed the efficiency and accuracy of the presented algorithm. This algorithm can supply some beneficial references for designers.
 

Key words

Probability / Convex model / Hybrid model / Sequential Optimization and Reliability  Assessment / Optimization

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Li Fangyi1,2 Rong Jianhua1 Hu Lin1 Li Fengling1 Yi Jijun1. The Reliability-based Design Optimization of structures for the vehicle frontal impact based on a probability-convex hybrid model[J]. Journal of Vibration and Shock, 2016, 35(3): 215-220

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