基于未确知测度理论评判模型的岩爆倾向性预测
发布时间：2018-11-03 06:56
【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。
[Abstract]:With the deep mining of tungsten mines, various kinds of earth pressure problems have appeared, especially the rock burst phenomenon, which is one of the ways of releasing rock energy under high ground stress, and the prediction and evaluation of rock burst tendency is an important part of mine safety. The unascertained measure theory and entropy method are used to predict the tendency of rock burst. According to the influencing factors and classification criteria of rockburst tendency, the unascertained measure function of prediction and evaluation index of rockburst tendency in underground mines is established by using unascertained measure theory, and the weight of evaluation index is determined by entropy method. The prediction of rockburst tendency in underground mines is evaluated based on the confidence recognition model, and a comparative analysis is carried out with an example. The results show that this method provides a new method for prediction and evaluation of rockburst tendency in underground mines.
【作者单位】： 江西理工大学资源与环境工程学院;
【分类号】：TD311
本文编号：2307037
[Abstract]:With the deep mining of tungsten mines, various kinds of earth pressure problems have appeared, especially the rock burst phenomenon, which is one of the ways of releasing rock energy under high ground stress, and the prediction and evaluation of rock burst tendency is an important part of mine safety. The unascertained measure theory and entropy method are used to predict the tendency of rock burst. According to the influencing factors and classification criteria of rockburst tendency, the unascertained measure function of prediction and evaluation index of rockburst tendency in underground mines is established by using unascertained measure theory, and the weight of evaluation index is determined by entropy method. The prediction of rockburst tendency in underground mines is evaluated based on the confidence recognition model, and a comparative analysis is carried out with an example. The results show that this method provides a new method for prediction and evaluation of rockburst tendency in underground mines.
【作者单位】： 江西理工大学资源与环境工程学院;
【分类号】：TD311
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