围岩超前优化分级的属性识别模型及其工程应用
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摘要
为有效进行隧道围岩超前优化分级,提出基于属性数学理论和隧道地震波勘探系统的围岩超前优化分级方法。选取隧道地震波勘探系统可有效识别的物理力学参数作为属性评价指标,并结合围岩工程地质分类和RMR系统分类方法,确定围岩等级与各评价指标之间的对应关系;通过构建单指标属性测度函数,计算得到单指标属性测度及样本综合属性测度;应用置信度准则对隧道样本的围岩等级进行属性识别,从而建立围岩优化分级的属性识别模型。在工程实例分析研究中,评价结果与模糊综合评价法以及GA-SVM法的评价结果具有较好的一致性,从而验证属性识别模型评价结果的合理性及可靠性。
In order to realize surrounding rock optimized classification effectively,an attribute recognition model based on attribute mathematics theory and tunnel seismic prediction system was put forward.Firstly,physical and mechanical parameters which could be identified effectively by tunnel seismic prediction system were selected as attribute evaluation index,and the corresponding relationship between surrounding rock grades and evaluation index was determined combined with engineering geological classification and RMR system.Secondly,attribute measurement functions were constructed to compute attribute measurement of single index and synthetic attribute measurement.Lastly,the identification and classification of surrounding rock grades of tunnel samples were recognized by the confidence criterion,then attribute recognition model was established for surrounding rock optimized classification.The exemplification study shows that the synthetic assessment results agree well with the results obtained by fuzzy comprehensive evaluation and GA-SVM,and the rationality and reliability of the result obtained through attribute recognition model is verified.
In order to realize surrounding rock optimized classification effectively,an attribute recognition model based on attribute mathematics theory and tunnel seismic prediction system was put forward.Firstly,physical and mechanical parameters which could be identified effectively by tunnel seismic prediction system were selected as attribute evaluation index,and the corresponding relationship between surrounding rock grades and evaluation index was determined combined with engineering geological classification and RMR system.Secondly,attribute measurement functions were constructed to compute attribute measurement of single index and synthetic attribute measurement.Lastly,the identification and classification of surrounding rock grades of tunnel samples were recognized by the confidence criterion,then attribute recognition model was established for surrounding rock optimized classification.The exemplification study shows that the synthetic assessment results agree well with the results obtained by fuzzy comprehensive evaluation and GA-SVM,and the rationality and reliability of the result obtained through attribute recognition model is verified.
引文
[1]邱道宏,李术才,张乐文,等.基于TSP203系统和GA_SVM的围岩超前分类预测[J].岩石力学与工程学报,2010,29(增1):3221-3226.QIU Daohong,LI Shucai,ZHANG Lewen,et al.Prediction of surrounding rock classification in advance based on TSP203system and GA-SVM[J].Chinese Journal of Rock Mechanics and Engineering,2010,29(Supp1):3221-3226.
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[8]张元才,黄润秋,赵立冬,等.天山公路边坡岩体质量评价TSMR体系研究[J].岩石力学与工程学报,2010,29(3):617-623.ZHANG Yuancai,HUANG Runqiu,ZHAO Lidong,et al.Study of tianshan slope rock mass rating(TSMR)system[J].Chinese Journal of Rock Mechanics and Engineering,2010,29(3):617-623.
[9]鲁光银,朱自强,李华,等.公路隧道岩体质量分级的模糊层次分析法[J].中南大学学报:自然科学版,2007,38(5):368-374.LU Guangyin,ZHU Ziqiang,LI Hua,et al.Rock mass classification method in highway tunnel based on fuzzy analytic hierarchy process[J].Journal of Central South University:Science and Technology,2008,39(2):368-374.
[10]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 discriminate analysis method to classification of engineering quality of rock masses[J].Chinese Journal of Rock Mechanics and Engineering,2007,26(1):190-194.
[11]李术才,李树忱,张庆松,等.岩溶裂隙水与不良地质情况超前预报研究[J].岩石力学与工程学报,2007,26(2):217-225.Ll Shucai,Ll Shuchen,ZHANG Qingsong,et al.Forecast of karst-fractured groundwater and defective geological conditions[J].Chinese Journal of Rock Mechanics and Engineering,2007,26(2):217-225.
[12]刘志刚,刘秀峰.TSP(隧道地震勘探)在隧道隧洞超前预报中的应用与发展[J].岩石力学与工程学报,2003,2(8):1399-1402.LIU Zhigang,LIU Xiufeng.TSP application and development in tunnel lead forecast[J].Chinese Journal of Rock Mechanics and Engineering,2003,2(8):1399-1402.
[13]Asadollahi P,Foroozam R.Comparison of the evaluated rock mass properties from the TSP system and the RMR classification(Semnan tunnel,Iran)[J].Tunneling and Underground Space Technology,2006,21(3/4):236-241.
[14]Alimoradi A,Moradzadeh A,Naderi R,et al.Prediction of geological hazardous zones in front of a tunnel face using TSP-203and artificial neural networks[J].Tunneling and Underground Space Technology,2008,23(6):711-717.
[15]张庆松,李术才,孙克国,等.公路隧道超前地质预报应用现状与技术分析[J].地下空间与工程学报,2008,4(4):766-771.ZHANG Qingsong,LI Shucai,SUN Keguo,et al.Analysis and present state of advanced geological forecast technology of highway tunnel[J].Chinese Journal of Underground Space and Engineering,2008,4(4):766-771.
[16]杨春玲.基于属性数学的综合评价模型[D].大连:大连理工大学数学科学学院,2008:2-3.YANG Chunling.Comprehensive evaluation models based on attribute mathematics[D].Dalian:Dalian University of Technology.School of Mathematical Sciences,2008:2-3.
[17]文畅平.隧道瓦斯突出危险性评价的属性识别模型与实例[J].煤炭学报,2011,36(8):1322-1328.WEN Changping.Attribute recognition model and its application of fatalness assessment of gas burst in tunnel[J].Journal of China Coal Society,2011,36(8):1322-1328.
[18]程乾生.质量评价的属性数学模型和模糊数学模型[J].数理统计与管理,1997,16(6):18-23.CHENG Qiansheng.Attribute mathematical model and fuzzy mathematical model for quality assessment[J],Application of Statistics and Management,1997,16(6):18-23.
[19]张强,刘克,高自友.属性综合评价系统在城市交通规划中的应用[J].系统工程理论与实践,2002,22(6):113-120.ZHANG Qiang,LIU Ke,GAO Ziyou.An application of attribute synthetic evaluation system in urban traffic planning[J].System Engineering-Theory&Practice,2002,22(6):113-120.
[20]张鹏,陈剑平,邱道宏.基于粗糙集的隧道围岩质量可拓学评价[J].岩土力学,2009,30(1):246-250.ZHANG Peng,CHEN Jianping,QIU Daohong.Evaluation of tunnel surrounding rock quality with extremis based on rough set[J].Rock and Soil Mechanics,2009,30(1):246-250.
[2]刘建民,曹治国.考虑钻孔速率的公路隧道围岩类别超前分类研究[J].公路交通科技,2007,24(5):99-102.LIU Jianmin,CAO Zhiguo.Study of surrounding rock stability classification considering drilling rock rate[J].Journal of Highway and Transportation Research and Development,2007,24(5):99-102.
[3]蔡斌,喻勇.《工程岩体分级标准》与Q分类法、RMR分类法的关系及变形参数估算[J].岩石力学与工程学报,2001,20(增1):1677-1679.CAI Bin,YU Yong.Relationship among national code,Q system and evaluation of deformation parameter[J].Chinese Journal of Engineering Geophysics,2001,20(Supp1):1677-1679.
[4]陈昌彦,王贵荣.各类岩体质量评价方法的相关性探讨[J].岩石力学与工程学报,2002,21(12):1894-1900.CHEN Changyan,WANG Guirong.Discussion on the interrelation of various rock mass quality classification systems at home and abroad[J].Journal of Rock Mechanics and Engineering,2002,21(12):1894-1900.
[5]Aydin A.Fuzzy set approaches to classification of rock masses[J].Engineering Geology,2004,74:227-245.
[6]Tzamos S A I.Extending the Q system’s prediction of support in tunnels employing fuzzy logic and extra parameters[J].International Journal of Rock Mechanics&Mining Sciences,2006,43(3):938-949.
[7]梁桂兰,徐卫亚,谈小龙.基于熵权的可拓理论在岩体质量评价中的应用[J].岩土力学,2010,31(2):535-540.LIANG Guilan,XU Weiya,TAN Xiaolong.Application of extension theory based on entropy weight to rock quality evaluation[J].Rock and Soil Mechanics,2010,31(2):530-540.
[8]张元才,黄润秋,赵立冬,等.天山公路边坡岩体质量评价TSMR体系研究[J].岩石力学与工程学报,2010,29(3):617-623.ZHANG Yuancai,HUANG Runqiu,ZHAO Lidong,et al.Study of tianshan slope rock mass rating(TSMR)system[J].Chinese Journal of Rock Mechanics and Engineering,2010,29(3):617-623.
[9]鲁光银,朱自强,李华,等.公路隧道岩体质量分级的模糊层次分析法[J].中南大学学报:自然科学版,2007,38(5):368-374.LU Guangyin,ZHU Ziqiang,LI Hua,et al.Rock mass classification method in highway tunnel based on fuzzy analytic hierarchy process[J].Journal of Central South University:Science and Technology,2008,39(2):368-374.
[10]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 discriminate analysis method to classification of engineering quality of rock masses[J].Chinese Journal of Rock Mechanics and Engineering,2007,26(1):190-194.
[11]李术才,李树忱,张庆松,等.岩溶裂隙水与不良地质情况超前预报研究[J].岩石力学与工程学报,2007,26(2):217-225.Ll Shucai,Ll Shuchen,ZHANG Qingsong,et al.Forecast of karst-fractured groundwater and defective geological conditions[J].Chinese Journal of Rock Mechanics and Engineering,2007,26(2):217-225.
[12]刘志刚,刘秀峰.TSP(隧道地震勘探)在隧道隧洞超前预报中的应用与发展[J].岩石力学与工程学报,2003,2(8):1399-1402.LIU Zhigang,LIU Xiufeng.TSP application and development in tunnel lead forecast[J].Chinese Journal of Rock Mechanics and Engineering,2003,2(8):1399-1402.
[13]Asadollahi P,Foroozam R.Comparison of the evaluated rock mass properties from the TSP system and the RMR classification(Semnan tunnel,Iran)[J].Tunneling and Underground Space Technology,2006,21(3/4):236-241.
[14]Alimoradi A,Moradzadeh A,Naderi R,et al.Prediction of geological hazardous zones in front of a tunnel face using TSP-203and artificial neural networks[J].Tunneling and Underground Space Technology,2008,23(6):711-717.
[15]张庆松,李术才,孙克国,等.公路隧道超前地质预报应用现状与技术分析[J].地下空间与工程学报,2008,4(4):766-771.ZHANG Qingsong,LI Shucai,SUN Keguo,et al.Analysis and present state of advanced geological forecast technology of highway tunnel[J].Chinese Journal of Underground Space and Engineering,2008,4(4):766-771.
[16]杨春玲.基于属性数学的综合评价模型[D].大连:大连理工大学数学科学学院,2008:2-3.YANG Chunling.Comprehensive evaluation models based on attribute mathematics[D].Dalian:Dalian University of Technology.School of Mathematical Sciences,2008:2-3.
[17]文畅平.隧道瓦斯突出危险性评价的属性识别模型与实例[J].煤炭学报,2011,36(8):1322-1328.WEN Changping.Attribute recognition model and its application of fatalness assessment of gas burst in tunnel[J].Journal of China Coal Society,2011,36(8):1322-1328.
[18]程乾生.质量评价的属性数学模型和模糊数学模型[J].数理统计与管理,1997,16(6):18-23.CHENG Qiansheng.Attribute mathematical model and fuzzy mathematical model for quality assessment[J],Application of Statistics and Management,1997,16(6):18-23.
[19]张强,刘克,高自友.属性综合评价系统在城市交通规划中的应用[J].系统工程理论与实践,2002,22(6):113-120.ZHANG Qiang,LIU Ke,GAO Ziyou.An application of attribute synthetic evaluation system in urban traffic planning[J].System Engineering-Theory&Practice,2002,22(6):113-120.
[20]张鹏,陈剑平,邱道宏.基于粗糙集的隧道围岩质量可拓学评价[J].岩土力学,2009,30(1):246-250.ZHANG Peng,CHEN Jianping,QIU Daohong.Evaluation of tunnel surrounding rock quality with extremis based on rough set[J].Rock and Soil Mechanics,2009,30(1):246-250.
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