基于深度学习的破碎带盾构施工沉降预测分析
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摘要
为进一步提高复杂地层条件下盾构沉降预测的准确性,以广州地铁7号线1期工程谢村站—钟村站区间盾构工程为依托,针对破碎带盾构隧道沉降控制难题,提出基于深度学习的人工智能预测模型。通过分析开挖面破碎带分布规律,确定将破碎带面积比作为地层特性参数。采用相关系数矩阵分析不同施工参数与破碎带面积比的相关性,确定采用刀盘转矩代表破碎带面积比实时描述地层分布特性。以刀盘转矩、盾尾间隙与注浆量作为输入值,地面沉降作为输出值训练深度学习模型,并利用训练后的深度学习模型进行沉降预测分析。通过分析预测结果与沉降实测值的对比验证预测模型的有效性。
The settlement prediction precision of shield tunneling in complex ground should be improved.Hence,a settlement prediction model based on deep learning method is proposed by taking the shield tunneling project of Xiecun Station-Zhongcun Station Section on Guangzhou Metro Line No.7 for example.Firstly,the distribution law of fractured zone on tunneling face is analyzed,and the characteristics of the fractured zone is described by the ratio of fractured zone.And then the correlation between tunneling parameters and area ratios of fractured zone is analyzed by correlation coefficient matrix,and the ground distribution characteristics are described by cutterhead torque.Finally,the deep learning model is well trained by taking the cutterhead torque,shield tail gap and grouting amount as input values and the ground settlement as output value,and the settlement is predicted by the trained model.The prediction effectiveness of the model is verified by comparing the prediction results with the actual settlement values.
The settlement prediction precision of shield tunneling in complex ground should be improved.Hence,a settlement prediction model based on deep learning method is proposed by taking the shield tunneling project of Xiecun Station-Zhongcun Station Section on Guangzhou Metro Line No.7 for example.Firstly,the distribution law of fractured zone on tunneling face is analyzed,and the characteristics of the fractured zone is described by the ratio of fractured zone.And then the correlation between tunneling parameters and area ratios of fractured zone is analyzed by correlation coefficient matrix,and the ground distribution characteristics are described by cutterhead torque.Finally,the deep learning model is well trained by taking the cutterhead torque,shield tail gap and grouting amount as input values and the ground settlement as output value,and the settlement is predicted by the trained model.The prediction effectiveness of the model is verified by comparing the prediction results with the actual settlement values.
引文
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[12]韦凯,宫全美,周顺华.基于蚁群算法的地铁盾构隧道长期沉降预测[J].铁道学报,2008,30(4):79.WEI Kai,GONG Quanmei,ZHOU Shunhua.Forecast of long-term settlement of metro tunnel based on ant colony optimization[J].Journal of the China Railway Society,2008,30(4):79.
[13]黄宏伟,张冬梅.盾构隧道施工引起的地表沉降及现场监控[J].岩石力学与工程学报,2001,20(增刊1):1814.HUANG Hongwei,ZHANG Dongmei.Shield tunneling induced surface settlement and in-situ monitoring[J].Chinese Journal of Rock Mechanics and Engineering,2001,20(S1):1814.
[14]朱才辉,李宁,柳厚祥,等.盾构施工工艺诱发地表沉降规律浅析[J].岩土力学,2011,32(1):158.ZHU Caihui,LI Ning,LIU Houxiang,et al.Analysis of ground settlement induced by workmanship of shield tunneling[J].Rock and Soil Mechanics,2011,32(1):158.
[15]谢自韬,江玉生,刘品.盾构隧道壁后注浆压力对地表沉降及围岩变形的数值模拟研究[J].隧道建设,2007,27(4):12.XIE Zitao,JIANG Yusheng,LIU Pin.Numerical simulation study of surface settlement and surrounding rock deformation caused by backfill grouting pressure in shield tunneling[J].Tunnel Construction,2007,27(4):12.
[2]杜闯东.基岩破碎带与软硬不均等不良地层盾构掘进技术分析[J].隧道建设,2015,35(9):920.DU Chuangdong.Analysis of shield tunneling in fractured bed rock zones and upper-soft lower-hard ground[J].Tunnel Construction,2015,35(9):920.
[3]曾锋,苏华友,宋天田.复合地层中盾构机滚刀寿命预测研究[J].地下空间与工程学报,2016,12(增刊2):755.ZENG Feng,SU Huayou,SONG Tiantian.Research on service life prediction for disc cutters of shield machines in complex ground[J].Chinese Journal of Underground Space and Engineering,2016,12(S2):755.
[4]竺维彬,王晖,鞠世健.复合地层中盾构滚刀磨损原因分析及对策[J].现代隧道技术,2006,43(4):72.ZHU Weibin,WANG Hui,JU Shijian.Analysis of the abrasion of disc cutters of shields in composite ground and countermeasures[J].Modern Tunnelling Technology,2006,43(4):72.
[5]王在泉,王建新,郑颖人,等.局部破碎带渗水条件下海底隧道稳定性的有限元极限分析[J].岩石力学与工程学报,2007,26(增刊2):3751.WANG Zaiquan,WANG Jianxin,ZHENG Yingren,et al.Limit analysis of subsea tunnel stability by finite element method in fault-rupture zone with water penetration[J].Chinese Journal of Rock Mechanics and Engineering,2007,26(S2):3751.
[6]张庆松,王德明,李术才,等.断层破碎带隧道突水突泥模型试验系统研制与应用[J].岩土工程学报,2017,39(3):417.ZHANG Qingsong,WANG Deming,LI Shucai,et al.Development and application of model test system for inrush of water and mud of tunnel in fault rupture zone[J].Chinese Journal of Geotechnical Engineering,2017,39(3):417.
[7]孙星亮,侯永会.断层破碎带隧道施工过程的三维数值模拟[J].石家庄铁道学院学报,2006,19(2):9.SUN Xingliang,HOU Yonghui.3D numerical simulation of tunnel excavation in fragmentized zone at fault[J].Journal of Shijiazhuang Railway Institute,2006,19(2):9.
[8]韩煊,李宁,STANDING J.R.Peck公式在我国隧道施工地面变形预测中的适用性分析[J].岩土力学,2007,28(1):23.HAN Xuan,LI Ning,STANDING J.R.An adaptability study of Gaussian equation applied to predicting ground settlements induced by tunneing in China[J].Rock and Soil Mechanics,2007,28(1):23.
[9]赵耀强,李元海,朱世友,等.不同地层条件盾构始发对地表沉降影响规律研究[J].隧道建设,2011,31(4):463.ZHAO Yaoqiang,LI Yuanhai,ZHU Shiyou,et al.Study of rules of influence of shield launching in different strata on ground surface settlement[J].Tunnel Construction,2011,31(4):463.
[10]SAGASETA C.Analysis of undrained soil deformation due to ground loss[J].Geotechnique,1987,37(3):301.
[11]LEE K M,ROWE R K.Deformations caused by surface loading and tunneling:The role of elastic anisotropy[J].Geotechnique,1989,39(1):125.
[12]韦凯,宫全美,周顺华.基于蚁群算法的地铁盾构隧道长期沉降预测[J].铁道学报,2008,30(4):79.WEI Kai,GONG Quanmei,ZHOU Shunhua.Forecast of long-term settlement of metro tunnel based on ant colony optimization[J].Journal of the China Railway Society,2008,30(4):79.
[13]黄宏伟,张冬梅.盾构隧道施工引起的地表沉降及现场监控[J].岩石力学与工程学报,2001,20(增刊1):1814.HUANG Hongwei,ZHANG Dongmei.Shield tunneling induced surface settlement and in-situ monitoring[J].Chinese Journal of Rock Mechanics and Engineering,2001,20(S1):1814.
[14]朱才辉,李宁,柳厚祥,等.盾构施工工艺诱发地表沉降规律浅析[J].岩土力学,2011,32(1):158.ZHU Caihui,LI Ning,LIU Houxiang,et al.Analysis of ground settlement induced by workmanship of shield tunneling[J].Rock and Soil Mechanics,2011,32(1):158.
[15]谢自韬,江玉生,刘品.盾构隧道壁后注浆压力对地表沉降及围岩变形的数值模拟研究[J].隧道建设,2007,27(4):12.XIE Zitao,JIANG Yusheng,LIU Pin.Numerical simulation study of surface settlement and surrounding rock deformation caused by backfill grouting pressure in shield tunneling[J].Tunnel Construction,2007,27(4):12.