Positioning of crack arrester using hierarchical neural network and crack propagation analysis

被引:0
作者
Osaki H. [1 ]
Nakabayashi Y. [1 ]
Yagawa G. [1 ]
Kim Y.J. [1 ]
机构
[1] Department of Intelligent Material and Mechatronics Systems, Toyo University, Bunkyo-ku, Tokyo, 112-0001
来源
Nihon Kikai Gakkai Ronbunshu, A Hen/Transactions of the Japan Society of Mechanical Engineers, Part A | 2010年 / 76卷 / 763期
关键词
Crack arrester; Crack propagation; Fracture mechanics; Neural network;
D O I
10.1299/kikaia.76.303
中图分类号
学科分类号
摘要
This paper describes the application of a hierarchical neural network to the positioning of crack arrester with the crack propagation analysis. The present method has three steps. Firstly, crack propagation analyses are performed to assemble the data for neural network learning. Secondly, the neural network is learned using the back-propagation method and the assembled data above. Finally, the positioning of crack arrester is done using the learned neural network. The result shows that the proposed method can predict the exact position of crack arrester more than 97% cases.
引用
收藏
页码:303 / 310
页数:7
相关论文
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