期刊文献+

属性测度理论及其在煤与瓦斯突出危险性评判中的应用

Application of Uncertainty Measurement Theory for Evaluating Hazard Degree of Coal and Gas Outburst
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摘要 对属性测度理论进行优化,并将其用于煤与瓦斯突出危险性的评判。选取开采深度、瓦斯压力、解吸速度、煤层强度和节理裂隙发育程度作为煤层突出危险性的评判因子,建立了属性测度评判模型。将其用于评判12个样本煤层的突出危险性并将结论与实际情况作了对比分析,该法的准确率达91.67%。 Uncertainty measurement theory was optimized and was used for evaluating the hazard of coal and gas outburst. Firstly, five major factors of coal and gas outburst: burial depth of coal seam, gas pressure, initial speed of methane diffusion, coefficient of coal's sturdiness, geological structural complexity of coal, were regarded as the diseriminant factors for evaluating the hazard of coal and gas outburst. Then, the uncertainty measurement model was established, which was used to make evaluation for 12 mines' coal seam outbursted, and the conclusion was compared with the real measurements. After inspection, the results show that the method's accuracy rate is 91.67%.
出处 《煤炭技术》 CAS 北大核心 2016年第10期181-183,共3页 Coal Technology
基金 泰山学者建设工程专项经费资助项目(201309)
关键词 煤与瓦斯突出危险性 权重 信息熵理论 coal and gas outburst hazard weights information entropy theory
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