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| PREDICTION OF ROCKBURST BY ARTIFICIAL NEURAL NETWORK* |
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Abstract Based on the analysis of main causes of rockburst，the compressive strength，tensile strength，elastic energy index of rock and the maximum tangential stress of the cavern wall are chosen as the criterion indexes for rockburst prediction. A new approach using neural method is proposed to predict rockburst occurrence and its intensity. The prediction results show that it is feasible and appropriate to use artificial neural network model for rockburst prediction.
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Received: 01 January 1900
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KANG Hongpu1, 2, 3*, GAO Fuqiang1, 2, 3, WANG Xiaoqing1, 2, 3, YUAN Guiyang1, 2, 3, YANG Lei1, 2, 3, LOU Jinfu1, 2, 3. Development and application of a large-scale experimental system for roadway rockburst induced by fault slip[J]. , 2026, 45(6): 1599-1614. |
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