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《Chinese Journal of Underground Space and Engineering》 2010-05
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A Prediction Method of Rock Burst in Cavern Based on Projection Pursuit in Artificial Fish-Swarm Algorithm

Fang Chong1,Dai Zhihong 2,Zhang Xingui 3 (1.Guangxi Technology College of Water Conservancy and Electric Power,Nanning 530023,China;2.Guangxi Electric Power Industry Investigation Design and Research Institute,Nanning 530023,China;3.College of Civil and Architectural Engineering,Guangxi University,Nanning 530004,China)  
Rockburst mechanism was discussed by analyzing the case of rock burst occurred in underground project construction at home and abroad,the main affecting factors of rockburst were obtained:they are the maximum tangential stress of surrounding rock σθ,uniaxial compressive strength σc,uniaxial tensile strength σt,and impact tendency index Wet.A rock burst prediction method of Projection Pursuit based on Artificial Fish-Swarm Algorithm was proposed for the existing problems found in traditional forecasting methods.The prediction analysis model was established.15 projects were selected as the training samples,and 3 projects as the prediction samples,three indicators were selected as the main parameters of rock burst,and the model is applied to actual engineering examples.The prediction results are accurate,this method is simple,and some errors were eliminated because of avoiding the subjective factors for traditional methods.The projection pursuit is a new prediction method of rock burst,it has a wide application prospect.
【Fund】: 中国-新加坡国际合作项目;; 广西自然科学基金(桂科自0728037)
【CateGory Index】: TD325
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