平沟矿突出预测指标敏感性研究
发布时间：2018-08-11 15:21
【摘要】：为准确高效地预测平沟矿掘进过程中的突出危险性,确定各突出预测指标的相对敏感性,采用高压定容吸附解吸试验和钻屑解吸指标模拟测定方法,对钻屑解吸指标K_1和Δh_2与压力P的关系进行了研究,另外根据平沟矿16#煤层现场跟踪实测数据,在模糊数学和统计分析理论的基础上建立了预测指标敏感度函数,对预测指标敏感性进行定量研究.结果表明:K_1和Δh_2与压力P呈幂函数关系;K_1值敏感度最大,Δh_2值较为敏感,S值不敏感。因此选用K_1值做为预测指标,辅助指标使用Δh_2,从而提高了预测准确率,保证了安全高效掘进.
[Abstract]:In order to accurately and efficiently predict the outburst danger in the driving process of Pinggou Mine and determine the relative sensitivity of each outburst prediction index, the desorption test of high pressure constant volume adsorption and the simulated determination method of cuttings desorption index are adopted. The relationship between the desorption indexes K _ (1) and 螖 h _ 2 of drill cuttings and pressure P is studied. In addition, the sensitivity function of prediction index is established on the basis of fuzzy mathematics and statistical analysis theory according to the field tracking data of 16 # coal seam in Pinggou Mine. The sensitivity of predictive indicators was studied quantitatively. The results show that the relationship between the value of K _ S _ 1 and 螖 h _ 2 and pressure P is power function. The sensitivity of K _ s _ 1 is the highest, and the value of 螖 h _ 2 is insensitive to S value. Therefore, K-1 is chosen as the prediction index, and 螖 h2s is used as auxiliary index, thus the accuracy of prediction is improved, and the safety and efficiency of tunneling is ensured.
【作者单位】： 煤炭科学技术研究院有限公司安全分院;煤炭科学研究总院煤炭资源高效开采与洁净利用国家重点实验室;
【基金】：国家科技重大专项项目(2011ZX05040-001) 国家重点基础研究发展计划(973计划)项目(2011CB201206)
【分类号】：TD713
，
本文编号：2177390
[Abstract]:In order to accurately and efficiently predict the outburst danger in the driving process of Pinggou Mine and determine the relative sensitivity of each outburst prediction index, the desorption test of high pressure constant volume adsorption and the simulated determination method of cuttings desorption index are adopted. The relationship between the desorption indexes K _ (1) and 螖 h _ 2 of drill cuttings and pressure P is studied. In addition, the sensitivity function of prediction index is established on the basis of fuzzy mathematics and statistical analysis theory according to the field tracking data of 16 # coal seam in Pinggou Mine. The sensitivity of predictive indicators was studied quantitatively. The results show that the relationship between the value of K _ S _ 1 and 螖 h _ 2 and pressure P is power function. The sensitivity of K _ s _ 1 is the highest, and the value of 螖 h _ 2 is insensitive to S value. Therefore, K-1 is chosen as the prediction index, and 螖 h2s is used as auxiliary index, thus the accuracy of prediction is improved, and the safety and efficiency of tunneling is ensured.
【作者单位】： 煤炭科学技术研究院有限公司安全分院;煤炭科学研究总院煤炭资源高效开采与洁净利用国家重点实验室;
【基金】：国家科技重大专项项目(2011ZX05040-001) 国家重点基础研究发展计划(973计划)项目(2011CB201206)
【分类号】：TD713
，
本文编号：2177390
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