基于未确知均值方法的巷道围岩分级及应用

现代矿业 ›› 2012, Vol. 28 ›› Issue (07): 13-15+24.

基于未确知均值方法的巷道围岩分级及应用

肖天佐¹，戴兵²，赵井清²

1.贵州开磷集团矿业总公司；2.中南大学资源与安全工程学院

出版日期:2012-07-15 发布日期:2012-07-27

Classification and Application of Tunnel Surrounding Rock based on Unascertained Average Clustering Method

Xiao Tianzuo¹，Dai Bing²，Zhao Jingqing²

1.Mine Company of Guizhou Kailin Group；2.School of Resources and Safety Engineering, Central South University

Online:2012-07-15 Published:2012-07-27

摘要/Abstract

摘要： 将未确知测度理论应用到巷道围岩分级中，提出了未确知均值分级方法，建立巷道围岩分级的未确知均值分级模型；选用岩石容重、岩石抗拉强度、岩石完整性系数作为分级模型的判定指标；以14种岩石的实测数据建立分类判别指标的未确知测度函数，并求得各分级样本指标的平均值和单指标测度矩阵；根据信息熵理论确定各指标的权重，利用置信度识别准则对岩石进行判定分级。利用该模型对矿区巷道围岩进行了分类预测，与实测结果比较，预测结果与实测结果吻合，为巷道围岩分级提供了一条新的途径。

关键词: 巷道围岩, 分级, 未确知均值分级方法

Abstract: Unascertained measurement theory was applied in tunnel surrounding rock classification, unascertained average clustering method was raised and unascertained average clustering model of tunnel surrounding rock classification was set up.Unit weight, tensile strength, sound degree coefficient of rock was selected as the evaluating parameters of classification model.Using 14 kinds of measured data of rock to build the unascertained measurement function of classification of judging indexes, average value of each classification sample index and single index measure matrix were obtained; weight of each index confirmed according to the information entropy theory, determine classification of rock was done by using credible degree recognition criterion.Classification forecasting was done on tunnel surrounding rock of mining area by using this model.Prediction results are closely with measured results after comparison, and it offers a new way for tunnel surrounding rock classification.

Key words: Tunnel surrounding rock, Classification, Unascertained mean rating method

肖天佐, 戴兵, 赵井清. 基于未确知均值方法的巷道围岩分级及应用[J]. 现代矿业, 2012, 28(07): 13-15+24.

XIAO Tian-Zuo, DAI Bing, ZHAO Jing-Qing. Classification and Application of Tunnel Surrounding Rock based on Unascertained Average Clustering Method[J]. Modern Mining, 2012, 28(07): 13-15+24.

[1]	刘宁, 王少勇, 周发陆, 魏海涛, 夏德威, 张小刚. 泥质软岩巷道破坏机理分析与控制技术[J]. 现代矿业, 2020, 36(4): 161-164.
[2]	杨尚欢, 付金阳, 李政良, 杨威, 曲立平, 韩青. RMR法评分体系细化及工程应用[J]. 现代矿业, 2019, 35(1): 233-235.
[3]	王海霞, 孟奥书, 赵永成, 魏建民. 某选矿厂磨矿分级工艺优化试验[J]. 现代矿业, 2019, 35(09): 164-166.
[4]	王伟, 孙伟, 王建, 刘佃彪, 王丽娟. 水力旋流器富集高炉灰中的微细粒锌矿物的研究与实践[J]. 现代矿业, 2019, 35(04): 233-234.
[5]	丁开振, 王小玉, 胡炳胜, 刘军. 罗河赤铁矿选矿工艺优化研究[J]. 现代矿业, 2018, 34(09): 106-109.
[6]	袁腾, 赵礼兵. 司家营铁矿磨矿分级系统优化改造实践[J]. 现代矿业, 2018, 34(09): 241-242.
[7]	闫亮, 叶会师, 王征. 矿用耐磨整体式矿石分级隔筛的研制与应用[J]. 现代矿业, 2018, 34(02): 131-132.
[8]	李永峰, 吴庆才, 马鹏飞. 蜗壳旋流器在某选矿厂一段磨矿—分级中的应用[J]. 现代矿业, 2018, 34(02): 137-138.
[9]	向辉, 王磊, 季安坤, 郭霞, 姜程阳. 螺旋线进料体旋流器在某选矿厂分级作业改造中的应用[J]. 现代矿业, 2018, 34(02): 151-153.
[10]	张　迪　荀国强　骆珍珠　李玲芳. 一段两闭路磨矿分级工艺流程在金源选矿厂的应用[J]. 现代矿业, 2017, 33(12): 249-250.
[11]	杨长平１　逯登科１　李　飞. 青海某金矿选厂一段分级作业改造实践[J]. 现代矿业, 2017, 33(12): 109-110.
[12]	赵振兴　魏焕民　李雪萍. 研山铁矿磁矿流程改造试验[J]. 现代矿业, 2017, 33(12): 119-120.
[13]	李军峰. 杜达铅锌矿高硫尾砂与戈壁集料结构流充填系统设计与应用[J]. 现代矿业, 2017, 33(11): 148-151+156.
[14]	王　磊, 　郑纪民, 　齐加刚, 　王德明. 海王精细分级旋流器在某特大型铁矿细粒磨矿分级工艺中的应用[J]. 现代矿业, 2017, 33(11): 175-176.
[15]	王金行　, 陆　虎, 　杨松付. 旋流器与高频细筛组合作业在白象山选矿厂的应用[J]. 现代矿业, 2017, 33(11): 13-15.