Adaptive Neural Network Based Approach for the Analysis of Small Failure Probability with Multiple Modes

doi:10.3901/JME.2022.23.039

Abstract

Abstract: For the small failure probability reliability assessment of the flap mechanism of amphibious aircraft, firstly, the load curve for the water injection and fire extinguishing profile is obtained by carrying out an aerodynamic simulation analysis, which is simplified and loaded into the model of flap motion mechanism. Then, the random uncertainty of friction coefficient and assembly position is considered, and the reliability models of two failure modes including flap mechanism jamming and insufficient movement accuracy are established. To improve the computational efficiency, a reliability analysis method based on the adaptive neural network is proposed. The hypersphere sampling is introduced to make the sample points evenly distributed in the whole standard normal space, and the sample space is divided by using the optimal hypersphere, which greatly reduces the sample space. Meanwhile, a new learning function is proposed to avoid exploring unimportant areas, then the best training point is found to update the surrogate model. Finally, a numerical example is given to verify the efficiency and accuracy of the algorithm, and then an efficient and high-precision reliability analysis of the flap motion mechanism of amphibious aircraft is realized.

Key words: flaps, motion mechanism, reliability, hypersphere sampling, neural network

CLC Number:

V224

WANG Pan, XIN Fukang, DENG Yaquan, ZHANG Hao. Adaptive Neural Network Based Approach for the Analysis of Small Failure Probability with Multiple Modes[J]. Journal of Mechanical Engineering, 2022, 58(23): 39-50.

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