基于Fisher判别分析法的井巷围岩质量分类研究
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摘要
为建立在煤矿勘探阶段井巷围岩质量分类的判别模型,选取岩石的天然单轴抗压强度、饱和单轴抗压强度、软化系数、天然抗剪强度、饱和抗剪强度、含水率和岩石质量指标RQD值等7项因子作为分类指标,以新疆乌鲁木齐市某煤矿的2个煤层顶底板的40组岩样作为学习样本,采用Fisher判别分析方法对该40组岩样进行训练,建立了判别模型,采用回代估计方法对每个岩样进行验证,正确率达到97.5%,利用该判别分类模型对另一煤矿的8组岩样进行分类,其分类结果与实际分类结果完全相符。研究结果表明:Fisher判别分析方法是一种有效的围岩质量分类方法,该判别模型可在实际煤矿井巷围岩质量分类中进行推广应用。
In order to establish discrimination model of the surrounding rock quality classification for the mine shaft and roadway at the mine exploration stage,seven factors of a natural uniaxial compression strength,saturated uniaxial compression strength,softening coefficient,natural shearing strength,saturated shearing strength,moisture content and RQD value were selected as the classification indexes.Based on 40 group rock samples from the roof and floor of two seams in a mine of Urumqi,Xinjiang as the study samples,the Fisher discrimination analysis method was applied to the training of the 40 group rock samples. A discrimination model was established. A back substitution estimation method was applied to test and verify each sample and the accuracy rate was 97.5%. The discrimination classification model was applied to classify 8 group rock samples from another mine and the classification results were fully fitted with the actual classification results. The study results showed that the Fisher discrimination analysis method was an effective classification method of the surrounding rock quality and the discrimination model could be promoted and applied to the surrounding rock quality classification of the actual mine shaft and roadway.
In order to establish discrimination model of the surrounding rock quality classification for the mine shaft and roadway at the mine exploration stage,seven factors of a natural uniaxial compression strength,saturated uniaxial compression strength,softening coefficient,natural shearing strength,saturated shearing strength,moisture content and RQD value were selected as the classification indexes.Based on 40 group rock samples from the roof and floor of two seams in a mine of Urumqi,Xinjiang as the study samples,the Fisher discrimination analysis method was applied to the training of the 40 group rock samples. A discrimination model was established. A back substitution estimation method was applied to test and verify each sample and the accuracy rate was 97.5%. The discrimination classification model was applied to classify 8 group rock samples from another mine and the classification results were fully fitted with the actual classification results. The study results showed that the Fisher discrimination analysis method was an effective classification method of the surrounding rock quality and the discrimination model could be promoted and applied to the surrounding rock quality classification of the actual mine shaft and roadway.
引文
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[2]刘小平.采动岩体工程分类及力学参数估算方法研究[J].煤炭科学技术,2014,42(1):146-150.Liu Xiaoping.Research on engineering classification and mechanical parameters estimation method for mining rock mass[J].Coal Science and Technology,2014,42(1):146-150.
[3]韩桂武,刘斌,范鹤.模糊择近原则在隧洞围岩分类中的应用[J].东北大学学报:自然科学版,2006,27(7):819-822.Han Guiwu,Liu Bin,Fan He.Application of principle of fuzzy closeness optimization to classification of surrounding rock in tunnel[J].Journal of Northeastern University:Natural Science,2006,27(7):819-822.
[4]顾秀根.跨采软岩巷道分类及支护对策分析[J].煤炭科学技术,2007,35(8):96-101.Gu Xiugen.Analysis on soft rock roadway classification and support countermeasures for mining over roadway[J].Coal Science and Technology,2007,35(8):96-101.
[5]周翠英,张亮,黄显艺.基于改进BP网络算法的隧洞围岩分类[J].地球科学:中国地质大学学报,2005,30(4):480-486.Zhou Cuiying,Zhang Liang,Huang Xianyi.Classification of rocks surrounding tunnel based on improved BP network algorithm[J].Earth Science:Journal of China University of Geosciences,2005,30(4):480-486.
[6]李天斌,王睿.ART1神经网络在隧道围岩分类中的应用[J].成都理工大学学报:自然科学版,2006,33(5):455-459.Li Tianbin,Wang Rui.The application of ART1 neural network to the classification of surrounding rocks in tunnels[J].Journal of Chengdu University of Technology:Science&Technology Edition,2006,33(5):455-459.
[7]张召千,徐明德,刘泉声.煤巷围岩稳定性加权平均评价方法研究[J].岩土力学,2009,30(11):3464-3468.Zhang Zhaoqian,Xu Mingde,Liu Quansheng.The research on the methodology of weighted average for surrounding rock stability of tunnel[J].Rock and Soil Mechanics,2009,30(11):3464-3468.
[8]文畅平.岩体质量分级的Bayes判别分析方法[J].煤炭学报,2008,33(4):395-399.Wen Changping.Bayes discriminant analysis method of rock-mass quality classification[J].Journal of China Coal Society,2008,33(4):395-399.
[9]李春萍,郝会兵.煤巷围岩分类的Bayes判别分析法[J].煤炭学报,2011,36(S2):304-307.Li Chunping,Hao Huibing.Method of Bayes discriminant analysis for classifying mine-lane surrounding rocks[J].Journal of China Coal Society,2011,36(S2):304-307.
[10]朱一丁,马文涛.回采巷道围岩分类的支持向量机方法[J].采矿与安全工程学报,2006,23(3):362-365.Zhu Yiding,Ma Wentao.Method of support vector machines for classifying surrounding rocks of gateway[J].Journal of Mining﹠Safety Engineering,2006,23(3):362-365.
[11]宫凤强,李夕兵.距离判别分析法在岩体质量等级分类中的应用[J].岩石力学与工程学报,2007,26(1):190-194.Gong Fengqiang,Li Xibing.Application of distance discriminant analysis method to classification of engineering quality of rock masses[J].Chinese Journal of Rock Mechanics and Engineering,2007,26(1):190-194.
[12]王吉亮,陈剑平,杨静.距离判别法在公路隧道围岩分类中的应用[J].吉林大学学报:地球科学版,2008,38(6):999-1004.Wang Jiliang,Chen Jianping,Yang Jing.Application of distance discriminant analysis method in classification of surrounding rock mass in highway tunnel[J].Journal of Jilin University:Earth Science Edition,2008,38(6):999-1004.
[13]姜春露,姜振泉,孙强.基于Fisher判别分析法的隧洞围岩分类[J].煤炭学报,2012,37(10):1665-1670.Jiang Chunlu,Jiang Zhenquan,Sun Qiang.Classification of rocks surrounding tunnel using Fisher discriminant analysis method[J].Journal of China Coal Society,2012,37(10):1665-1670.
[14]Zhou Jian,Shi Xiuzhi,Lei Dong,et al.Fisher discriminant analysis model and its application for prediction of classification of rockburst in deep-buried long tunnel[J].International Journal of Coal Science&Technology,2010,16(2):144-149.
[15]向东进,李宏伟,刘小雅.实用多元统计分析[M].武汉:中国地质大学出版社,2005:91.
[16]王力宾,顾光同.多元统计分析:模型、案例及SPSS应用[M].北京:经济科学出版社,2010:173-175.