A horizontal convergence monitoring method based on wireless tilt sensors for shield tunnels with straight joints

References

• Ariznavarreta-Fernández, F., González-Palacio, C., Menéndez-Díaz, A., & Ordoñez, C. (2016). Measurement system with angular encoders for continuous monitoring of tunnel convergence. Tunnelling & Underground Space Technology, 56, 176–185. doi:10.1016/j.tust.2016.03.014
   Web of Science ®Google Scholar
• Bassett, R. H., Kimmance, J. P., & Rasmussen, C. (1999). An automated electrolevel deformation monitoring system for tunnels. Proceedings of the Institution of Civil Engineers – Geotechnical Engineering, 137(3), 117–125. doi:10.1680/gt.1999.370301
   Web of Science ®Google Scholar
• Bennett, P. J., Kobayashi, Y., Soga, K., & Wright, P. (2010a). Wireless sensor network for monitoring transport tunnels. Proceedings of the Institution of Civil Engineers – Geotechnical Engineering, 163 (3), 147–156. doi:10.1680/geng.2010.163.3.147
   Web of Science ®Google Scholar
• Bennett, P. J., Soga, K., Wassell, I., Fidler, P., Abe, K., Kobayashi, Y., & Vanicek, M. (2010b). Wireless sensor networks for underground railway applications: Case studies in Prague and London. Smart Structures & Systems, 6 (5_6), 619–639. doi:10.12989/sss.2010.6.5_6.619
   Web of Science ®Google Scholar
• Berberan, A., Machado, M., & Batista, S. (2007). Automatic multi total station monitoring of a tunnel. Survey Review, 39 (305), 203–211. doi:10.1179/003962607X165177
   Web of Science ®Google Scholar
• BTS (2004). Tunnel lining design guide (p. 184). London: Thomas Telford.
   Google Scholar
• Ding, L. Y., Zhou, C., Deng, Q. X., Luo, H. B., Ye, X. W., Ni, Y. Q., & Guo, P. (2013). Real-time safety early warning system for cross passage construction in Yangtze Riverbed Metro Tunnel based on the internet of things. Automation in Construction, 36, 25–37. doi:10.1016/j.autcon.2013.08.017
   Web of Science ®Google Scholar
• GB50157-2013 (2013). Code for design of Metro. Ministry of Housing and Urban Rural Development (MOHURD), PRC Beijing, China.
   Google Scholar
• Huang, H. W., Xiao, L., Zhang, D. M., & Zhang, J. (2017). Influence of spatial variability of soil Young's modulus on tunnel convergence in soft soils. Engineering Geology, 228, 357–370. doi:10.1016/j.enggeo.2017.09.011
   Web of Science ®Google Scholar
• Huang, H. W., Xu, R., & Zhang, W. (2013). Comparative performance test of an inclinometer wireless smart sensor prototype for subway tunnel. International Journal of Architecture, Engineering and Construction, 2, 25–34. doi:10.7492/IJAEC.2013.003
   Google Scholar
• Huang, H.-w., & Zhang, D.-m. (2016). Resilience analysis of shield tunnel lining under extreme surcharge: Characterization and field application. Tunnelling & Underground Space Technology, 51, 301–312. doi:10.1016/j.tust.2015.10.044
   Web of Science ®Google Scholar
• Ji, Z. (2012). Experiments on monitoring and disaster preventing in tunnel of wireless sensor networks technology (MA. Eng Thesis). Department of Geotechnical Engineering, Tongji University, Shanghai.
   Google Scholar
• Kavvadas, M. J. (2005). Monitoring ground deformation in tunnelling: Current practice in transportation tunnels. Engineering Geology, 79 (1–2), 93–113. doi:10.1016/j.enggeo.2004.10.011
   Web of Science ®Google Scholar
• Kontogianni, V. A., & Stiros, S. C. (2002). Predictions and observations of convergence in shallow tunnels: Case histories in Greece. Engineering Geology, 63 (3–4), 333–345. doi:10.1016/S0013-7952(01)00094-1
   Web of Science ®Google Scholar
• Kontogianni, V. A., & Stiros, S. C. (2005). Induced deformation during tunnel excavation: Evidence from geodetic monitoring. Engineering Geology, 79 (1–2), 115–126. doi:10.1016/j.enggeo.2004.10.012
   Web of Science ®Google Scholar
• Lai, J., Qiu, J., Fan, H., Zhang, Q., Hu, Z., Wang, J., & Chen, J. (2016). Fiber Bragg grating sensors-based in situ monitoring and safety assessment of Loess tunnel. Journal of Sensors, 2016, 1–10. doi:10.1155/2016/8658290
   Web of Science ®Google Scholar
• Lee, K. M., & Ge, X. W. (2001). The equivalence of a jointed shield-driven tunnel lining to a continuous ring structure. Canadian Geotechnical Journal, 38 (3), 461–483. doi:10.1139/t00-107
   Web of Science ®Google Scholar
• Lee, K. M., Hou, X. Y., Ge, X. W., & Tang, Y. (2001). An analytical solution for a jointed shield-driven tunnel lining. International Journal for Numerical & Analytical Methods in Geomechanics, 25(4), 365–390. doi:10.1002/nag.134
   Web of Science ®Google Scholar
• Li, C., Azzam, R., & Fernández-Steeger, M. T. (2016). Kalman filters in geotechnical monitoring of ground subsidence using data from MEMS sensors. Sensors, 16(7), 1109. doi:10.3390/s16071109
   Web of Science ®Google Scholar
• Li, X., Ji, Z., Zhu, H., & Gu, C. (2012). A feasibility study of the measuring accuracy and capability of wireless sensor networks in tunnel monitoring. Frontiers of Structural & Civil Engineering, 6(2), 111–120.
   Google Scholar
• Li, Y.-h., Xu, S.-d., & Liu, J.-p. (2015). A new convergence monitoring system for tunnel or drift based on draw-wire displacement sensors. Tunnelling & Underground Space Technology, 49, 92–97. doi:10.1016/j.tust.2015.04.005
   Web of Science ®Google Scholar
• Li, Z., Soga, K., Wang, F., Wright, P., & Tsuno, K. (2014). Behaviour of cast–iron tunnel segmental joint from the 3D FE analyses and development of a new bolt-spring model. Tunnelling & Underground Space Technology, 41, 176–192. doi:10.1016/j.tust.2013.12.012
   Web of Science ®Google Scholar
• Loganathan, N., & Poulos, H. G. (1998). Analytical prediction for tunneling-induced ground movements in clays. Journal of Geotechnical & Geoenvironmental Engineering, 124(9), 846–856. doi:10.1061/(ASCE)1090-0241(1998)124:9(846)
   Web of Science ®Google Scholar
• Luo, Y., Chen, J., Xi, W., Zhao, P., Li, J., Qiao, X., & Liu, Q. (2017). Application of a total station with RDM to monitor tunnel displacement. Journal of Performance of Constructed Facilities, 31(4), 04017030. doi:10.1061/(ASCE)CF.1943-5509.0001027
   Web of Science ®Google Scholar
• Mahdevari, S., & Torabi, S. R. (2012). Prediction of tunnel convergence using artificial neural networks. Tunnelling & Underground Space Technology, 28, 218–228. doi:10.1016/j.tust.2011.11.002
   Web of Science ®Google Scholar
• Mair, R. J. (2008). Tunnelling and geotechnics: New horizons. Géotechnique, 58(9), 695–736. doi:10.1680/geot.2008.58.9.695
   Web of Science ®Google Scholar
• Pallett, P., Gorst, N., & Clark, L. (2002). Friction resistance in temporary works materials. Concrete, 36(6), 12–15.
   Google Scholar
• Pan, Y. W., & Dong, J. J. (1991). Time-dependent tunnel convergence—II. Advance rate and tunnel–support interaction. International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 28(6), 477–488. doi:10.1016/0148-9062(91)91123-9
   Google Scholar
• Pinto, F., & Whittle, A. J. (2014). Ground movements due to shallow tunnels in soft ground. I: Analytical solutions. Journal of Geotechnical & Geoenvironmental Engineering, 140(4), 04013040. doi:10.1061/(ASCE)GT.1943-5606.0000948
   Web of Science ®Google Scholar
• Saenz, L. P. (1964). Discussion of the paper equation for the stress–strain curve of concrete. Journal of the American Concrete Institute Proceedings, 61(9), 1229–1235.
   Google Scholar
• Sakurai, S., & Takeuchi, K. (1983). Back analysis of measured displacements of tunnels. Rock Mechanics & Rock Engineering, 16(3), 173–180. doi:10.1007/BF01033278
   Web of Science ®Google Scholar
• Scaioni, M., Barazzetti, L., Giussani, A., Previtali, M., Roncoroni, F., & Alba, M. I. (2014). Photogrammetric techniques for monitoring tunnel deformation. Earth Science Informatics, 7(2), 83–95. doi:10.1007/s12145-014-0152-8
   Web of Science ®Google Scholar
• Scaioni, M., Feng, T., Barazzetti, L., Previtali, M., & Roncella, R. (2015). Image-based deformation measurement. Applied Geomatics, 7(2), 75–90. doi:10.1007/s12518-014-0152-x
   Web of Science ®Google Scholar
• Simeoni, L., & Zanei, L. (2009). A method for estimating the accuracy of tunnel convergence measurements using tape distometers. International Journal of Rock Mechanics & Mining Sciences, 46(4), 796–802. doi:10.1016/j.ijrmms.2008.11.004
   Web of Science ®Google Scholar
• Stajano, F., Hoult, N., Wassell, I., Bennett, P., Middleton, C., & Soga, K. (2010). Smart bridges, smart tunnels: Transforming wireless sensor networks from research prototypes into robust engineering infrastructure. Ad Hoc Networks, 8(8), 872–888. doi:10.1016/j.adhoc.2010.04.002
   Web of Science ®Google Scholar
• Standing, J. R., Nyren, R. J., Burland, J. B., & Longworth, T. I. (1996). The measurement of ground movements due to tunnelling at two control sites along the Jubilee Line Extension. In Proceedings of International Symposium on Geotechnical Aspects of Underground Construction in Soft Ground, pp. 659–664.
   Google Scholar
• Straser, E. G., & Kiremidjian, A. S. (1998). A modular, wireless damage monitoring system for structures. Technical Report No. 128, John A. Blume Earthquake Engineering Center. Stanford, CA, Stanford University.
   Google Scholar
• Sulem, J., Panet, M., & Guenot, A. (1987). Closure analysis in deep tunnels. International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 24 (3), 145–154. doi:10.1016/0148-9062(87)90522-5
   Google Scholar
• Wang, F. (2014). Deformation performance and vulnerability assessment of shield tunnel using fiber optic sensing method (Ph.D. Thesis). Department of Geotechnical Engineering, Tongji University, Shanghai.
   Google Scholar
• Wang, F., Huang, H. W., He, B., Wu, Y., Shao, H., & Wu, H. M. (2016). Wireless sensing on shield tunnels in Shanghai. In International Conference on Smart Infrastructure and Construction.
   Google Scholar
• Wang, M. Z. (2015). Control index of shield tunnel deformation and pre-warning method of risk visualization (MA Eng. Thesis). Department of Geotechnical Engineering, Tongji University, Shanghai.
   Google Scholar
• Yin, J., & Huang, H. (2015). Real time monitoring method for the longitudinal settlement of shield tunnel using wireless inclinometer. In 2015 Information Technology and Mechatronics Engineering Conference. Paris: Atlantis Press. doi:10.2991/itoec-15.2015.53
   Google Scholar
• Zhang, H. M., Zhang, Z. L., & Wang, J. H. (2003). 3-D FEM analysis on prefabricated segment joints of shield tunnel. Journal of Shang Hai Jiao Tong University, 37(04), 566–569 (in Chinese).
   Google Scholar
• Zhang, W., & Huang, H. W. (2012). Feasibility study for evaluating convergence deformation of shield tunnel by inclination of segments. Proceedings of the 8th International Conference on Computer Engineering and Systems, ICCES1220120130105, pp. 78–90.
   Google Scholar
• Zhang, X., & Zhang, C. P. (2016). Automatic monitoring system for existing metro structural deformation induced by adjacent tunnel construction. Electronic Journal of Geotechnical Engineering, 21, 6727–6744.
   Google Scholar