未确知均值分级方法及在回采巷道围岩分类中的应用

为将未确知数学理论应用到回采巷道围岩分类问题中,提出了未确知均值分级方法,建立回采巷道围岩分类的未确知均值分级模型.从巷道地压显现的特点及支护的难易程度两方面选取了6个主要影响因素,如巷道埋深、跨度、直接顶与煤层厚度的比值、围岩强度、围岩节理发育程度,松动圈大小作为判别指标,利用30组巷道围岩实测数据建立回采巷道围岩分类的未确知均值分级分析模型.应用该模型对平顶山矿区4条回采巷道围岩进行了分类预测.结果表明,预测类别与实际类别相吻合,这说明用该模型研究巷道围岩类别具有良好的实用性和有效性.该方法可为回采巷道围岩的分类提供一种新思路.

Unascertained average classification method for classifying surrounding rocks of mining roadways

To apply unascertained theory to surro urding ro cks classif icat io n of mining roadw ays, the unascertained average clustering mo del( UAC) for classify ing sur rounding r ocks o f mining roadw ay s w as established using 30 groups o f measur ed data f rom the sur rounding rocks of the mining roadw ay . From, the aspect s of the characteristics of r oadw ay pressure and the dif ficulty o f support ing, six majo r roadw ay facto rs such as the depth, the span, the rat io of the immediate roof seam to the coal seam thickness, the intensity of rock, r ock joint dev elo pment degree and the lo ose ring size w ere reg ar ded as the discr iminant factor s of the UAC mo del. Classificat ion of the fo ur r oadw ays in Pingding shan mining area w as predicted using UAC model indicat ing that the predicted classificat ion w as consistent with the actually measured one. T he result s show that the U AC mo del can be used to predict the classificat ion o f the surrounding rocks o f the mining roadw ay s and the pr edict ion accuracy is acceptable.