摘要
选取岩石抗压强度、抗拉强度、弹性能量指数和洞壁最大切向应力作为岩爆预测的评判指标 ,建立了岩爆预测的神经网络模型 ,对岩爆的发生及其烈度进行预测。实例计算表明 。
Based on the analysis of main causes of rockburst,the compressive strength,the tensile strength,the elastic energy index of the rock and the maximum tangential stress of the cavern wall are chosen as the indexes of criterion for rockburst prediction.A new model using neural network method is proposed to predict rockburst occurrence and its intensity.The predicted results show that it is feasible and valid to use artificial neural network model for predicting rockburst
出处
《岩土工程学报》
EI
CAS
CSCD
北大核心
2002年第2期229-232,共4页
Chinese Journal of Geotechnical Engineering
基金
国家自然科学基金资助项目 (49972 0 91 )
关键词
岩爆
岩石地下工程
人工神经网络模型
rockburst
prediction
neural network
improving BP algorithm
underground rock engineering