[1]杨 涛,张紫昭,胡 磊,等.聚类分析在煤矿井巷围岩岩体质量分类中的应用[J].西安科技大学学报,2015,(01):43-49.[doi:10.13800/j.cnki.xakjdxxb.2015.0108]
 YANG Tao,ZHANG Zi-zhao,HU Lei,et al.Application of clustering analysis in surrounding rock classification of coal mine-lane[J].Journal of Xi'an University of Science and Technology,2015,(01):43-49.[doi:10.13800/j.cnki.xakjdxxb.2015.0108]
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聚类分析在煤矿井巷围岩岩体质量分类中的应用(/HTML)
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西安科技大学学报[ISSN:1672-9315/CN:61-1434/N]

卷:
期数:
2015年01期
页码:
43-49
栏目:
出版日期:
2015-02-28

文章信息/Info

Title:
Application of clustering analysis in surrounding rock classification of coal mine-lane
文章编号:
1672-9315(2015)01-0043-07
作者:
杨 涛张紫昭胡 磊朱 辉邓恩松
新疆大学 地质与矿业工程学院,新疆 乌鲁木齐 830046
Author(s):
YANG TaoZHANG Zi-zhaoHU LeiZHU HuiDENG En-song
College of Geological and Mining Engineering,Xinjiang University,Urumqi 830046,China
关键词:
井巷围岩 岩体质量分类 聚类分析 指标选取
Keywords:
mine-lane surrounding rock classification of rock mass quality clustering analysis selected indexes
分类号:
TD 313
DOI:
10.13800/j.cnki.xakjdxxb.2015.0108
文献标志码:
A
摘要:
以新疆伊犁地区科尔克煤矿为研究背景,针对该煤矿井巷围岩岩体质量分类问题,选取了天然单轴抗压强度、饱和单轴抗压强度、天然抗拉强度、饱和抗拉强度、天然抗剪强度、饱和抗剪强度、天然密度、含水率、软化系数和RQD值等10项指标进行分析,采用多元统计分析方法中的聚类分析方法对该煤矿38组围岩岩体样品进行分类分析,分类结果显示,分成4类效果最为理想,分类结果与实际情况完全相符,聚类分类结果理想; 对各个类别样品的各个指标进行对比分析,分析结果显示所选取的10项指标均不同程度地影响了井巷围岩岩体质量分类结果,且其大小变化规律符合自然规律,指标选取合理,该分类方法可成为煤矿井巷围岩岩体质量分类的一种有效方法。
Abstract:
Taking Kirk mine in Xinjiang Yili as the research background,this article selected the natural uniaxial compressive strength,saturated uniaxial compressive strength,natural tensile strength,tensile strength of saturated,natural shear strength,shear strength in saturation,natural density,moisture content,softening coefficient and RQD for analyzing indexes to research the classification of surrounding rock of roadway.The 38 samples were classified with the clustering analysis methods,the results showed that class 4 classification results entirely consistent with the actual situation.Finally,this paper analyzed each index of all kinds of samples,the results show that the selected 10 indexes affected the roadway surrounding rock mass classification,these indexes are reasonable.This classification method is an effective method of mine roadway surrounding rock quality classification.

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备注/Memo

备注/Memo:
基金项目:中国地质调查局资助项目(1212011120477); 新疆大学天山学者特聘教授科研基金资助(11100213); 新疆维吾尔自治区教育厅自然科学基金资助(XJEDU2013S06) <
通讯作者:张紫昭(1981-),男,山东荣成人,博士研究生,讲师,E-mail:253569481@qq.com
更新日期/Last Update: 2015-01-15