Transactions of Nonferrous Metals Society of China The Chinese Journal of Nonferrous Metals

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中国有色金属学报

ZHONGGUO YOUSEJINSHU XUEBAO

第13卷    第3期    总第54期    2003年6月

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文章编号:1004-0609(2003)03-0749-05
基于RES理论的岩体失稳模式判别及其智能实现
郭 立, 吴爱样, 周科平, 姚振巩

(中南大学 资源与安全工程学院, 长沙 410083)

摘 要: 基于完全耦合模型解决复杂岩石力学问题的方法论——岩石工程系统理论(RES)的基本原理, 构造了地下工程岩体失稳模式判别的智能预测模型, 并采用具有自学习、 非线性映射和数据挖掘功能的模糊自组织人工神经网络模型ANN来实现RES交互作用矩阵的编码。 通过一个实例说明这种方法具有良好的实用性

 

关键词: RES理论; 模式判别; 人工神经网络; 岩体稳定性

Pattern recognition and its intelligent realization of probable rock mass failure based on RES approach
GUO Li, WU Ai-xiang, ZHOU Ke-ping, YAO Zhen-gong

School of Resources and Safety Engineering,
Central South University, Changsha 410083, China

Abstract:The basic principles of a methodology, namely rock engineering system (RES) approach was introduced, which is based on a fully coupled model to settle complex rock mechanics problems. An intelligent prediction model to identify probable failure of rock mass was constructed, in which a fuzzy self-recognizing artificial neural network (ANN) was applied with the function of self-learning, nonlinear and data mining to identify probable failure of rock mass. The analysis of an engineering example fully proves RES approach is very useful in practice.

 

Key words: RES approach; pattern recognition; artificial neural network; rock mass sta

ISSN 1004-0609
CN 43-1238/TG
CODEN: ZYJXFK

ISSN 1003-6326
CN 43-1239/TG
CODEN: TNMCEW

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