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A novel nonlinear time series prediction method based on the dynamic clustering neural network is proposed. This method selects prediction samples which are similar with training samples according to the cluster analysis based on the dynamic characteristics of samples and then a new subset of the samples is obtained. All of the samples in this subset have the similar dynamic characteristics. By training...
The fatigue test for LY12 aluminum alloys specimens at various stresses and stress ratios were performed. The distributions of the crack-nucleating particle sizes and ratios were determined using scanning electron microscopy (SEM) measured from specimens fracture surfaces. The results show that the correlation between particles sizes and ratios versus fatigue lives. And with the increase of stress...
This paper was concerned with a new integrated method of topology optimization and shape optimization. The new method was used in this paper to optimize the structure of an air suspension bracket. In this article, Method of Moving Asymptotes was employed to solve the variable density model discrete by finite element method. The compliance and mass were regarded as topology and shape optimization objectives,...
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