基于未确知测度理论评判模型的岩爆倾向性预测  

Rockburst Tendency Prediction based on the Unascertained Measure Evaluation Theory Model

作　　者：周国辉[1] 赵奎[1] 李期森 赵铭久 ZHOU Guohui ZHAO Kui LI Qisen ZHAO Mingjiu LIU Hao(Jiangxi University of Science and Technology Resources and Environmental Engineering Institute,Ganzhou 341000, Jiangxi,China)

机构地区：[1]江西理工大学资源与环境工程学院,江西赣州341000

出　　处：《中国钨业》2017年第2期14-18,23,共6页China Tungsten Industry

摘　　要：随着钨矿山的深部开采,各类地压问题也不断出现,特别是作为高地应力条件下的岩石能量释放方式之一的岩爆现象更为多见,岩爆倾向性预测评价是矿山安全的重要内容。采用未确知测度理论与熵值法相结合的方法进行岩爆倾向性预测。根据岩爆倾向性的影响因素和分级标准,运用未确知测度理论建立了地下矿山岩爆倾向性预测评价指标的未确知测度函数,用熵值法确定评价指标的权重,依据置信度识别模型对地下矿山岩爆倾向性预测进行评价,并结合实例进行了对比分析。研究结果表明,该方法为地下矿山岩爆倾向性预测评价提供了一种新方法。With the deep mining of tungsten mines, all kinds of ground pressure problems have been observed, in particular the ever increasing rock burst. The combination of unascertained measure theory and entropy method was applied to predict th tendency of rock burst. On the basis of the influencing factors and classification criteria of rock burst tendency, the unascertained measure function for the evaluation index of underground mine rock burst tendency was established. The Confidence Recognition Model was applied to predict the rock burst tendency after determining the weight of the evaluation index with entropy method. The results show that this method provides an alternative method for predicting the rock burst tendency of underground mine.

关 键 词：岩石力学 岩爆倾向性 未确知测度理论法 熵权法 预测 

分 类 号：TD311[矿业工程—矿井建设]