摘要
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。
To apply unascertained theory tO surrourding rocks classification of mining roadways, the unascertained average clustering model（UAC）for classifying surrounding rocks of mining roadways was established using 30 groups of measured data from the surrounding rocks of the mining roadway. From, the aspects of the characteristics of roadway pressure and the difficulty of supporting,six major roadway factors such as the depth, the span,the ratio of the immediate roof seam to the coal seam thickness,the intensity of rock, rock joint development degree and the loose ring size were regarded as the discriminant factors of the UAC model. Classification of the four roadways in Pingdingshan mining area was predicted using UAC model indicating that the predicted classification was consistent with the actually measured one. The results show that the UAC model can be used to predict the classification of the surrounding rocks of the mining roadways and the prediction accuracy is acceptable.
出处
《解放军理工大学学报（自然科学版）》
EI
北大核心
2009年第6期575-579,共5页
Journal of PLA University of Science and Technology(Natural Science Edition)
基金
国家自然科学基金重大资助项目(50490274)
中南大学学位论文创新项目(1343-74335000020)
米塔尔创新项目(07MX14)
关键词
采矿工程
回采巷道
围岩
分类
未确知均值分级方法
mining engineering
mining roadways
surrounding rock
classification
unascertained average clustering method
