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陈海军, 郦能惠, 聂德新, 尚岳全. 岩爆预测的人工神经网络模型[J]. 岩土工程学报, 2002, 24(2): 229-232.
引用本文: 陈海军, 郦能惠, 聂德新, 尚岳全. 岩爆预测的人工神经网络模型[J]. 岩土工程学报, 2002, 24(2): 229-232.
CHEN Haijun, LI Nenghui, NIE Dexin, SHANG Yuequan. A model for prediction of rockburst by artificial neural network[J]. Chinese Journal of Geotechnical Engineering, 2002, 24(2): 229-232.
Citation: CHEN Haijun, LI Nenghui, NIE Dexin, SHANG Yuequan. A model for prediction of rockburst by artificial neural network[J]. Chinese Journal of Geotechnical Engineering, 2002, 24(2): 229-232.

岩爆预测的人工神经网络模型

A model for prediction of rockburst by artificial neural network

  • 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 ,用人工神经网络方法进行岩爆预测是可行有效的

     

    Abstract: 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

     

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