基于TSP203系统和GA-SVM的围岩超前分类预测
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摘要
为有效地进行隧道围岩类别超前分类,提出基于TSP203系统和遗传-支持向量机的围岩类别超前分类方法。以TSP203系统为基础,从探测结果中提取有用信息,建立围岩类别超前分类指标体系,并采用支持向量机进行围岩超前分类预测。建立围岩类别超前分类指标体系时,采用TSP203中可有效识别的围岩分类参数来实现:岩体完整性系数、泊松比、静态扬氏模量、主要结构面与洞轴线的夹角、不连续结构面状态和地下水发育情况。确定支持向量机参数时,采用遗传算法在解空间里进行全局搜索,以改善支持向量机在围岩分类中的识别精度。最后将该方法应用于实际工程,结果表明该方法实际可行,在围岩类别超前分类中具有较高的准确性,为围岩类别超前分类提供了一种新思路。
In order to conduct surrounding rock classification ahead tunnel advancing effectively,the advanced surrounding rock classification method based on TSP 203 system and genetic algorithm(GA)-support vector machine(SVM) is put forward.The method extracts the useful information from the detection results of TSP 203,and it establishes the indicators system of advanced surrounding rock classification.In the progress of establishing advanced surrounding rock classification index system,six rock classification parameters are adopted,which TSP203 could identify effectively,i.e.rock mass integrity coefficient,Poisson's ratio,static Young's modulus,the angle between main structural surface and the tunnel axis,discontinuous structural surface and the state of groundwater.GA was adopted to optimize the SVM parameters in solution space,which improves the discrimination precision of SVM in surrounding rock classification.Finally,the method is applied to practical engineering and the results show that the method has higher prediction accuracy in predicting advanced surrounding rock classification and provides a new idea for advanced surrounding rock classification.
In order to conduct surrounding rock classification ahead tunnel advancing effectively,the advanced surrounding rock classification method based on TSP 203 system and genetic algorithm(GA)-support vector machine(SVM) is put forward.The method extracts the useful information from the detection results of TSP 203,and it establishes the indicators system of advanced surrounding rock classification.In the progress of establishing advanced surrounding rock classification index system,six rock classification parameters are adopted,which TSP203 could identify effectively,i.e.rock mass integrity coefficient,Poisson's ratio,static Young's modulus,the angle between main structural surface and the tunnel axis,discontinuous structural surface and the state of groundwater.GA was adopted to optimize the SVM parameters in solution space,which improves the discrimination precision of SVM in surrounding rock classification.Finally,the method is applied to practical engineering and the results show that the method has higher prediction accuracy in predicting advanced surrounding rock classification and provides a new idea for advanced surrounding rock classification.
引文
[1]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.(LI Shucai,LI 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.(in Chinese))
[2]雷明锋,彭立敏,施成华.复杂地质条件下隧道浅埋段全空间综合超前地质预报技术[J].岩石力学与工程学报,2009,28(增2):3571-3576.(LEI Mingfeng,PENG Limin,SHI Chenghua.Whole space comprehensive advanced geological prediction technique for shallow-buried section of tunnel under complicated geological condition[J].Chinese Journal of Rock Mechanics and Engineering,2009,28(Supp.2):3571-3576.(in Chinese))
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[4]王锦山,王力,曹志刚,等.厦门海底隧道综合超前地质预报实践[J].岩石力学与工程学报,2007,26(11):2309-2317.(WANG Jinshan,WANG Li,CAO Zhigang,et al.Practice on syntheticgeological prediction ahead of construction of Xiamen subsea tunnel[J].Chinese Journal of Rock Mechanics and Engineering,2007,26(11):2309-2317.(in Chinese))
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[7]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.(in Chinese))
[8]薛翊国,李术才,张庆松,等.TSP203超前预报系统探测岩溶隧道的应用研究[J].地下空间与工程学报,2007,3(7):1187-1191.(XUE Yiguo,LI Shucai,ZHANG Qingsong,et al.Application of TSP203advanced prediction to tunnel in karst areas[J].Chinese Journal of Underground Space and Engineering,2007,3(7):1187-1191.(in Chinese))
[9]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 extenics based on rough set[J].Rock and Soil Mechanics,2009,30(1):246-250.(in Chinese))
[10]张志国,肖明.地下洞室监测位移场的反演和围岩稳定评判分析[J].岩石力学与工程学报,2009,28(4):813-818.(ZHANG Zhiguo,XIAO Ming.Inversion of monitored displacement and evaluation of surrounding rock stability of underground caverns[J].Chinese Journal of Rock Mechanics and Engineering,2009,28(4):813-818.(in Chinese))
[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.(in Chinese))
[12]许振浩,李术才,张庆松,等.TSP超前地质预报地震波反射特性研究[J].地下空间与工程学报,2008,4(4):640-644.(XU Zhenhao,LI Shucai,ZHANG Qingsong,et al.Reflection characteristic of seismic wave in TSP advance geological prediction[J].Chinese Journal of Underground Space and Engineering,2008,4(4):640-644.(in Chinese))
[13]闫志刚,白海波.矿井涌水水源识别的MMH支持向量机模型[J].岩石力学与工程学报,2009,28(2):324-329.(YAN Zhigang,BAI Haibo.MMH support vector machines model for recognizing multi-headstream of water inrush in mine[J].Chinese Journal of Rock Mechanics and Engineering,2009,28(2):324-329.(in Chinese))
[14]赵洪波,茹忠亮,张士科.SVM在地下工程可靠性分析中的应用[J].岩土力学,2009,30(2):526-530.(ZHAO Hongbo,RU Zhongliang,ZHANG Shike.Application of support vector machine to reliability analysis of underground engineering[J].Rock and Soil Mechanics,2009,30(2):526-530.(in Chinese))
[15]马文涛,孔亮.进化-最小二乘支持向量机的边坡稳定性估计[J].岩土力学,2009,30(12):3876-3880.(MA Wentao,KONG Liang.Genetic-least square support vector machine estimation of slope stability[J].Rock and Soil Mechanics,2009,30(12):3876-3880.(in Chinese))
[16]赵同彬,谭云亮,王虹,等.挡土墙库仑土压力的遗传算法求解分析[J].岩土力学,2009,30(4):1170-1174.(ZHAO Tongbin,TAN Yunliang,WANG Hong,et al.Analytical solution of Coulomb earth pressure on retaining wall by genetic algorithm[J].Rock and Soil Mechanics,2009,30(4):1170-1174.(in Chinese))
[2]雷明锋,彭立敏,施成华.复杂地质条件下隧道浅埋段全空间综合超前地质预报技术[J].岩石力学与工程学报,2009,28(增2):3571-3576.(LEI Mingfeng,PENG Limin,SHI Chenghua.Whole space comprehensive advanced geological prediction technique for shallow-buried section of tunnel under complicated geological condition[J].Chinese Journal of Rock Mechanics and Engineering,2009,28(Supp.2):3571-3576.(in Chinese))
[3]曲海锋,刘志刚,朱合华.隧道信息化施工中综合超前地质预报技术[J].岩石力学与工程学报,2006,25(6):1246-1251.(QU Haifeng,LIU Zhigang,ZHU Hehua.Technique of synthetic geologic prediction ahead in tunnel informational construction[J].Chinese Journal of Rock Mechanics and Engineering,2006,25(6):1246-1251.(in Chinese))
[4]王锦山,王力,曹志刚,等.厦门海底隧道综合超前地质预报实践[J].岩石力学与工程学报,2007,26(11):2309-2317.(WANG Jinshan,WANG Li,CAO Zhigang,et al.Practice on syntheticgeological prediction ahead of construction of Xiamen subsea tunnel[J].Chinese Journal of Rock Mechanics and Engineering,2007,26(11):2309-2317.(in Chinese))
[5]薛翊国,李术才,张庆松,等.隧道信息化施工岩溶裂隙水超前地质预报[J].岩土力学,2008,29(12):3360-3364.(XUE Yiguo,LI Shucai,ZHANG Qingsong,et al.Geological prediction of karst-fractured groundwater in tunnel informational construction[J].Rock and Soil Mechanics,2008,29(12):3360-3364.(in Chinese))
[6]李华,朱自强,李键.TSP203系统在岩体分级中的应用研究[J].工程地球物理学报,2005,2(6):449-453.(LI Hua,ZHU Ziqiang,LI Jian.Application of TSP203system to rock mass classification[J].Chinese Journal of Engineering Geophysics,2005,2(6):449-453.(in Chinese))
[7]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.(in Chinese))
[8]薛翊国,李术才,张庆松,等.TSP203超前预报系统探测岩溶隧道的应用研究[J].地下空间与工程学报,2007,3(7):1187-1191.(XUE Yiguo,LI Shucai,ZHANG Qingsong,et al.Application of TSP203advanced prediction to tunnel in karst areas[J].Chinese Journal of Underground Space and Engineering,2007,3(7):1187-1191.(in Chinese))
[9]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 extenics based on rough set[J].Rock and Soil Mechanics,2009,30(1):246-250.(in Chinese))
[10]张志国,肖明.地下洞室监测位移场的反演和围岩稳定评判分析[J].岩石力学与工程学报,2009,28(4):813-818.(ZHANG Zhiguo,XIAO Ming.Inversion of monitored displacement and evaluation of surrounding rock stability of underground caverns[J].Chinese Journal of Rock Mechanics and Engineering,2009,28(4):813-818.(in Chinese))
[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.(in Chinese))
[12]许振浩,李术才,张庆松,等.TSP超前地质预报地震波反射特性研究[J].地下空间与工程学报,2008,4(4):640-644.(XU Zhenhao,LI Shucai,ZHANG Qingsong,et al.Reflection characteristic of seismic wave in TSP advance geological prediction[J].Chinese Journal of Underground Space and Engineering,2008,4(4):640-644.(in Chinese))
[13]闫志刚,白海波.矿井涌水水源识别的MMH支持向量机模型[J].岩石力学与工程学报,2009,28(2):324-329.(YAN Zhigang,BAI Haibo.MMH support vector machines model for recognizing multi-headstream of water inrush in mine[J].Chinese Journal of Rock Mechanics and Engineering,2009,28(2):324-329.(in Chinese))
[14]赵洪波,茹忠亮,张士科.SVM在地下工程可靠性分析中的应用[J].岩土力学,2009,30(2):526-530.(ZHAO Hongbo,RU Zhongliang,ZHANG Shike.Application of support vector machine to reliability analysis of underground engineering[J].Rock and Soil Mechanics,2009,30(2):526-530.(in Chinese))
[15]马文涛,孔亮.进化-最小二乘支持向量机的边坡稳定性估计[J].岩土力学,2009,30(12):3876-3880.(MA Wentao,KONG Liang.Genetic-least square support vector machine estimation of slope stability[J].Rock and Soil Mechanics,2009,30(12):3876-3880.(in Chinese))
[16]赵同彬,谭云亮,王虹,等.挡土墙库仑土压力的遗传算法求解分析[J].岩土力学,2009,30(4):1170-1174.(ZHAO Tongbin,TAN Yunliang,WANG Hong,et al.Analytical solution of Coulomb earth pressure on retaining wall by genetic algorithm[J].Rock and Soil Mechanics,2009,30(4):1170-1174.(in Chinese))
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