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

页码：303 / 310

页数：7

共 21 条

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