Lightweight design of an auto loading mechanism based on global sensitivity analysis

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Journal of Vibration and Shock ›› 2016, Vol. 35 ›› Issue (6) : 41-46.

JIANG Qing-shan，QIAN Lin-fang，CHEN Guang-song

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Abstract

An optimization strategy composed of a global sensitive analysis method and surrogate model technology was proposed for the problems of large parameter scale and expensive computing cost in the lightweight design of an auto loading system. Global sensitive analysis based on Morris trajectory was carried out to determining the 14 important parameters from 32 ones. Simulations were performed on the Latin Hypercube Sampling points of important parameters, surrogate model of the responses about which was established based on RBF NN (Radial basis function neural networks). The optimal lightweight solution was obtained by the Multi-Island Genetic Algorithm with which the weight of the loading mechanism was reduced 21.8%. Numerical example shows that the surrogate model only with important parameters predicts well. The optimization strategy was proved efficient in the lightweight design of complex system.

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auto loading / global sensitivity analysis / lightweight design / parameter optimization

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JIANG Qing-shan，QIAN Lin-fang，CHEN Guang-song. Lightweight design of an auto loading mechanism based on global sensitivity analysis[J]. Journal of Vibration and Shock, 2016, 35(6): 41-46

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