【摘要】：為準確高效地預測平溝礦掘進過程中的突出危險性,確定各突出預測指標的相對敏感性,采用高壓定容吸附解吸試驗和鉆屑解吸指標模擬測定方法,對鉆屑解吸指標K_1和Δh_2與壓力P的關(guān)系進行了研究,另外根據(jù)平溝礦16#煤層現(xiàn)場跟蹤實測數(shù)據(jù),在模糊數(shù)學和統(tǒng)計分析理論的基礎(chǔ)上建立了預測指標敏感度函數(shù),對預測指標敏感性進行定量研究.結(jié)果表明:K_1和Δh_2與壓力P呈冪函數(shù)關(guān)系;K_1值敏感度最大,Δh_2值較為敏感,S值不敏感。因此選用K_1值做為預測指標,輔助指標使用Δh_2,從而提高了預測準確率,保證了安全高效掘進.
[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.
【作者單位】： 煤炭科學技術(shù)研究院有限公司安全分院;煤炭科學研究總院煤炭資源高效開采與潔凈利用國家重點實驗室;
【基金】：國家科技重大專項項目(2011ZX05040-001) 國家重點基礎(chǔ)研究發(fā)展計劃(973計劃)項目(2011CB201206)
【分類號】：TD713
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本文編號：2177390