Identification for bolt-surrounding rock structural system based on wavelet neural network
CHEN Jian-gong
LI Xin
ZHANG Yong-xing
Abstract：A new analytical method used in identification for bolt-surrounding rock structural system was put forward, which combined with advantages of wavelet analysis and artificial neural network. Firstly, the samples of bolt' s anchorage system were acquired by uniform design and the dynamic responses of these bolts were obtained by numerical simulation. Secondly, the features were extracted from the dynamic responses by wavelet analysis. A generalized regression network was used to estimate the values of bolt' s side rigidity factors. Finally, these features were fed into the artificial neural network for training. The results indicate that this wavelet neural network after training can best identify the bolt' s side rigidity factors and can be a useable intelligent mean to assess the quality of bolt' s anchoring system.
Keywords：wavelet analysisneural networkboltbolt' s side rigidity factor
Publication Date：2009-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 1333-1338 )