隧道围岩变形监测反演分析及稳定性研究
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摘要
针对有限元方法模拟隧道开挖过程受参数取值影响导致精度降低问题,提出利用BP神经网络和数值模拟方法来对隧道围岩力学参数进行反演分析。对比实测值与模拟值,证明了反演参数的可靠性,并得到隧道的最大最小主应力和位移变化值;利用强度折减法,通过数值模拟计算相应的拱顶沉降值,通过离散点拟合来求得隧道围岩的自稳系数,分析隧道围岩的稳定性。
Effected by parameter value,the accuracy of the finite element method in simulation of tunnel excavation will be reduced.The BP neural network and numerical simulation method are used to analyze the mechanics parameters of tunnel surrounding rock.The study shows that,comparing measured and simulated values,the reliability of the inversion parameters is proved,the maximum minimum principal stress and the change of the displacement of the tunnel are obtained,and the corresponding value of the settlement of the vault is calculated by the strength reduction method,and the self-stability coefficient of the surrounding rock of the tunnel is obtained by the discrete point fitting,and the tunnel circumference is analyzed.
Effected by parameter value,the accuracy of the finite element method in simulation of tunnel excavation will be reduced.The BP neural network and numerical simulation method are used to analyze the mechanics parameters of tunnel surrounding rock.The study shows that,comparing measured and simulated values,the reliability of the inversion parameters is proved,the maximum minimum principal stress and the change of the displacement of the tunnel are obtained,and the corresponding value of the settlement of the vault is calculated by the strength reduction method,and the self-stability coefficient of the surrounding rock of the tunnel is obtained by the discrete point fitting,and the tunnel circumference is analyzed.
引文
[1]赵杰,刘历胜,王桂萱,等.大连地铁暗挖隧道变形监测及参数智能反演[J].防灾减灾工程学报,2016,36(4):640-645(Zhao Jie,Liu Lisheng,Wang Guixuan,et al.Deformation Monitoring and Inversion Analysis of Surrounding Rock Mechanics Parameters for Metro Construction with Mining Method in Dalian[J].Journal of Disaster Prevention and Mitigation Engineering,2016,36(4):640-645)
[2]冯帆,邱信蛟,张国新,等.基于施工期变形监测的特高拱坝力学参数反演研究[J].岩土力学,2017,38(1):237-246(Feng Fan,Qiu Xinjiao,Zhang Guoxin,et al.Inversion of Mechanical Parameters of Super-high Arch Dam Based on Deformation Monitoring during Construction Period[J].Rock and Soil Mechanics,2017,38(1):237-246)
[3] Kavanagh K T,Clough R W.Finite Element Applications in the Characterization of Elastic Solids[J].International Journal of Solids and Structures,1971,7(1):11-23
[4] Maier G,Gioda G.Optimization Methods for Parametric Identification of Geotechnical Systems[A]//Numerical Methods in Geomechanics[M].Dordrecht:Springer,1982
[5]黄戡,刘宝琛,彭建国,等.基于遗传算法和神经网络的隧道围岩位移智能反分析[J].中南大学学报:自然科学版,2011,42(1):213-219(Huang Kan,Liu Baochen,Peng Jianguo,et al.Intelligent Back-Analysis of Tunnel Surrounding Rock Displacement Based on Genetic Algorithm and Neural Network[J].Journal of Central South University:Science and Technology,2011,42(1):213-219)
[6]张志华,周传波,夏志强,等.地铁隧道土体参数敏感性分析与正交反演[J].中南大学学报:自然科学版,2013,44(6):2 488-2 493(Zhang Zhihua,Zhou Chuanbo,Xia Zhiqiang,et al.Sensitivity Analysis and Orthogonal Backward Analysis of Soil Parameters for Subway Tunnel[J].Journal of Central South University:Science and Technology,2013,44(6):2 488-2 493)
[7]中华人民共和国住房和城乡建设部.GB5091-2013城市轨道交通工程监测技术规范[S].北京:中国建筑工业出版社,2014(Ministry of Housing and Urban-Rural Development of P R China.GB5091-2013 Code for Monitoring Measurement of Urban Rail Transit Engineering[S].Brijing:China Architecture&Building Press,2014)
[8]刘金慧.基于多目标非线性函数的某深基坑参数反演分析[J].山东大学学报:工学版,2015,45(4):75-83(Liu Jinhui.Back Analysis of Parameters of a Deep Foundation Pit Based on Multi-Objective Nonlinear Function[J].Journal of Shandong University:Engineering Science,2015,45(4):75-83)
[9]邱成虎.基于围岩参数反演的隧道稳定性研究[D].成都:西南交通大学,2015(Qiu Chenghu.A Study of Tunnel Stability Based on Rock Parameters Inversion[D].Chengdu:Southwest Jiaotong University,2015)
[2]冯帆,邱信蛟,张国新,等.基于施工期变形监测的特高拱坝力学参数反演研究[J].岩土力学,2017,38(1):237-246(Feng Fan,Qiu Xinjiao,Zhang Guoxin,et al.Inversion of Mechanical Parameters of Super-high Arch Dam Based on Deformation Monitoring during Construction Period[J].Rock and Soil Mechanics,2017,38(1):237-246)
[3] Kavanagh K T,Clough R W.Finite Element Applications in the Characterization of Elastic Solids[J].International Journal of Solids and Structures,1971,7(1):11-23
[4] Maier G,Gioda G.Optimization Methods for Parametric Identification of Geotechnical Systems[A]//Numerical Methods in Geomechanics[M].Dordrecht:Springer,1982
[5]黄戡,刘宝琛,彭建国,等.基于遗传算法和神经网络的隧道围岩位移智能反分析[J].中南大学学报:自然科学版,2011,42(1):213-219(Huang Kan,Liu Baochen,Peng Jianguo,et al.Intelligent Back-Analysis of Tunnel Surrounding Rock Displacement Based on Genetic Algorithm and Neural Network[J].Journal of Central South University:Science and Technology,2011,42(1):213-219)
[6]张志华,周传波,夏志强,等.地铁隧道土体参数敏感性分析与正交反演[J].中南大学学报:自然科学版,2013,44(6):2 488-2 493(Zhang Zhihua,Zhou Chuanbo,Xia Zhiqiang,et al.Sensitivity Analysis and Orthogonal Backward Analysis of Soil Parameters for Subway Tunnel[J].Journal of Central South University:Science and Technology,2013,44(6):2 488-2 493)
[7]中华人民共和国住房和城乡建设部.GB5091-2013城市轨道交通工程监测技术规范[S].北京:中国建筑工业出版社,2014(Ministry of Housing and Urban-Rural Development of P R China.GB5091-2013 Code for Monitoring Measurement of Urban Rail Transit Engineering[S].Brijing:China Architecture&Building Press,2014)
[8]刘金慧.基于多目标非线性函数的某深基坑参数反演分析[J].山东大学学报:工学版,2015,45(4):75-83(Liu Jinhui.Back Analysis of Parameters of a Deep Foundation Pit Based on Multi-Objective Nonlinear Function[J].Journal of Shandong University:Engineering Science,2015,45(4):75-83)
[9]邱成虎.基于围岩参数反演的隧道稳定性研究[D].成都:西南交通大学,2015(Qiu Chenghu.A Study of Tunnel Stability Based on Rock Parameters Inversion[D].Chengdu:Southwest Jiaotong University,2015)