Mechanical Property Parameters Prediction of Tube Based on RBF Neural Network

Abstract:

Since it is difficult to predict the mechanical property parameters of tube, the parameter prediction method is proposed, which is based on RBF neural network and tube tensile tests. The stress-strain curves of partial tube are investigated by tensile tests. Then, the sample space of a neural network is established. On this basis, the neural network input parameters and output parameters are determined, and the tube is classified according to the sizes and materials to build a layered neural network model. The comparison of Network prediction and experimental results shows that the RBF neural network can effectively predict the mechanical performance parameters of tube.

• Periodical: Applied Mechanics and Materials (Volumes 300-301)
• Pages: 882-888
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.300-301.882
• Online since: February 2013
• Authors: Mei Hui Jia, Cheng Tong Tang, Jian Hua Liu, Tian Zhang
• Keywords: Mechanical Properties Parameters, Parameters Prediction, RBF Neural Network, Tube Tensile

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