Hybrid Reliability Approach for Airbag Seat Protection Performance Based on Probability and Probability Box Models

doi:10.3901/JME.2022.24.324

Abstract

Abstract: Considering the influence of uncertainties on protection performance of airbag seat in manned airdrop, a hybrid reliability approach based on probability and probability box models is presented for the protection performance. Firstly, the airbag seat is developed and the numerical model of the "dummy-seat" is established, which is verified by the real equipment airdrop experiment. Then, according to the mixed uncertainty variables in the reliability problem, a reliability analysis model of airbag seat protection characteristics based on probability and probability box hybrid model is constructed. Through equal probability transformation and interval analysis of uncertain variables, the original double-layer nested optimization problem is transformed into a single-layer optimization problem to realize the decoupling of nested optimization problem. Based on this decoupling strategy, the efficiency of solving reliability index could be improved. Finally, the approximate model technology and intergeneration projection genetic algorithm (IP-GA) are adopted to obtained the reliability index. The results demonstrate that the proposed method could effectively evaluate the reliability of protection performance of airbag seat. The method can also be used in the field of other airdrop protections.

Key words: airbag seat, manned airdrop, hybrid model, reliability analysis

CLC Number:

V224

LIU Xin, HE Zebo, ZHOU Zhenhua, HU Lin. Hybrid Reliability Approach for Airbag Seat Protection Performance Based on Probability and Probability Box Models[J]. Journal of Mechanical Engineering, 2022, 58(24): 324-333.

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