盾构隧道的横向变形监测对于隧道长期运营具有重要作用。由于维护预算有限,监测传感器无法覆盖盾构隧道的所有断面,有必要优化传感器布设方案以实现传感器的总信息量最大化。本文提出通过最小化临近断面监测数据相关性,来优化整体布设方案。采用有限元方法和蒙特卡罗模拟得到竖向荷载和侧压力系数不确定情况下的横向变形概率分布。以皮尔逊相关系和共有信息熵为指标定量刻画盾构隧道环间变形相关性,并得到使相关性最小的最优布设距离。分析了荷载不确定性和环间剪切刚度对最优布设距离的影响。研究成果可为盾构隧道变形监测断面的优化布设提供参考。
The transverse deformation monitoring of shield tunnels plays an important role in their long-term operation. Due to limited maintenance budget, monitoring sensors are unable to cover all sections of the shield tunnels. Therefore, it is necessary to optimize the deployment scheme to maximize the total information obtained by the sensors. This article optimized the placement scheme by minimizing the correlation between monitoring data of adjacent cross-sections. Finite element method and Monte Carlo simulation were used to obtain the probability distribution of transverse deformation under uncertain vertical loads and lateral pressure coefficients. Pearson correlation coefficient and mutual information were adopted as indicators to quantitatively characterize the deformation correlation between shield tunnel rings, and the optimal placement distance was obtained. The effects of load uncertainty and inter-ring shear stiffness on optimal placement distance were discussed. The conclusion of this article can provide reference for the optimization placement of deformation monitoring sections for shield tunnels.
[1] Mair R.Tunnelling and geotechnics:new horizons[J].Géotechnique,2008,58(9):695-736.
[2] Huang H W,Xiao L,Zhang D M,et al.Influence of spatial variability of soil Young's modulus on tunnel convergence in soft soils[J].Engineering Geology,2017,228:357-370.
[3] Ariznavarreta-Fernández F,González-Palacio C,Menéndez-Díaz A,et al.Measurement system with angular encoders for continuous monitoring of tunnel convergence[J].Tunnelling and Underground Space Technology,2016,56:176-185.
[4] Kontogianni V,Stiros S.Induced deformation during tunnel excavation:Evidence from geodetic monitoring[J].Engineering Geology,2005,79(1):115-126.
[5] Mahdevari S,Torabi S.Prediction of tunnel convergence using Artificial Neural Networks[J].Tunnelling and Underground Space Technology,2012,28:218-228.
[6] Kavvadas M.Monitoring ground deformation in tunnelling:Current practice in transportation tunnels[J].Engineering Geology,2005,79(1):93-113.
[7] Simeoni L,Zanei L.A method for estimating the accuracy of tunnel convergence measurements using tapedistometers[J].International Journal of Rock Mechanics and Mining Sciences,2009,46(4):796-802.
[8] Huang H W,Zhang D M.Resilience analysis of shield tunnel lining under extreme surcharge:Characterization and field application[J].Tunnelling and Underground Space Technology,2016,51:301-312.
[9] 李东升,张莹,任亮,等.结构健康监测中的传感器布置方法及评价准则[J].力学进展,2011,41(1):39-50.
[10] Trendafilova I,Heylen W,Van Brussel H.Measurement point selection in damage detection using the mutual information concept[J].Smart Materials & Structures,2001,10(3):528-533.
[11] Papadimitriou C.Optimal sensor placement methodology for parametric identification of structural systems[J].Journal of Sound and Vibration,2004,278(4):923-947.
[12] Robert-Nicoud Y,Raphael B,Smith I.Configuration of measurement systems using Shannon's entropy function[J].Computers & Structures,2005,83(8):599-612.
[13] Zhou K,Wu Z.Strain gauge placement optimization for structural performance assessment[J].Engineering Structures,2017,141:184-197.
[14] 程烨,施静康,张东明,等.复合地层中超大直径泥水盾构掘进引起地表沉降的3D数值模拟分析[J].中国市政工程,2022(4):55-58,123-124.
[15] 刘杰.大直径盾构隧道接缝抗剪特性及渗漏控制方法研究[D].上海:同济大学,2020.
