Structural Damage Evaluation Method for Metro Shield Tunnel
Publication: Journal of Performance of Constructed Facilities
Volume 33, Issue 1
Abstract
The reasonable damage evaluation method for tunnel structure can be used to determine the overall safety state of the tunnel structure and can help to establish the maintenance plan of the tunnel structure. As a fuzzy system, the evaluation process of tunnel damage has the characteristics of randomness and fuzziness. Traditional tunnel damage evaluation methodologies do not account for the fuzziness and randomness of the system. Therefore, this study puts forward a visual evaluation method based on cloud theory for evaluating tunnel damage. Damage evaluation for a shield tunnel section of Changsha Metro Line Two in China has been taken as a case study. This method effectively considers the fuzziness and randomness of the evaluation system, improves robustness of the results of the structural damage evaluation, and is a simple and visual method.
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Acknowledgments
This work was supported by the National Science Foundation of China (Grant Nos. 51538009 and 51578550), Changsha Metro Group Co., Ltd. and the Nanjing HuoYang Hou Mdt InfoTech Ltd. The authors also give special thanks to all the reviewers for their valuable comments.
References
Attard, L., C. J. Debono, G. Valentino, and M. D. Castro. 2018. “Vision-based change detection for inspection of tunnel liners.” Autom. Constr. 91: 142–154. https://doi.org/10.1016/j.autcon.2018.03.020.
Erkal, B. G., and J. F. Hajjar. 2017. “Laser-based surface damage detection and quantification using predicted surface properties.” Autom. Constr. 83: 285–302. https://doi.org/10.1016/j.autcon.2017.08.004.
Eskesen, S. D., P. Tengborg, J. Kampmann, and T. H. Veicherts. 2004. “Guidelines for tunnelling risk management: International Tunnelling Association, working group no. 2.” Tunnelling Underground Space Technol 19 (3): 217–237. https://doi.org/10.1016/j.tust.2004.01.001.
Fu, H. L., Z. Huang, and J. B. Zhang. 2017. “Risk comprehensive assessment of shield tunnel construction based on cloud theory.” In Proc., Geo-Risk Conf., 334–345. Denver: ASCE.
Hu, L. 2011. “AHP method for supplier evaluation index system modeling and evaluation research.” In Vol. 121–126 of Proc., 2nd Int. Conf. on Frontiers of Manufacturing and Design Science, 3677–3681. Zürich, Switzerland: Applied Mechanics and Materials.
Huang, H. W., Y. Sun, Y. D. Xue, and F. Wang. 2017a. “Inspection equipment study for subway tunnel defects by grey-scale image processing.” Adv. Eng. Inf. 32: 188–201. https://doi.org/10.1016/j.aei.2017.03.003.
Huang, Z. K., D. M. Zhang, and H. W. Huang. 2017b. “Assessing the performance of shield tunnels due to corrosion using Bayesian MCMC.” In Proc., Geo-Risk Conf., 172–183. Denver: ASCE.
Kong, X. X., C. C. Xia, Y. L. Qiu, and B. Xu. 2011. “Health diagnosing method for shield tunnel based on extension theory.” [In Chinese.] J. Tongji Univ. (Nat. Sci.) 39 (11): 1610–1615.
Li, C., Y. G. Zhao, H. Liu, Z. Wan, C. Zhang, and N. Rong. 2008. “Monitoring second lining of tunnel with mounted fiber Bragg grating strain sensors.” Autom. Constr. 17 (5): 641–644. https://doi.org/10.1016/j.autcon.2007.11.001.
Li, D. Y., D. Cheung, X. M. Shi, and V. Ng. 1998. “Uncertainty reasoning based on cloud models in controllers.” Comput. Math. Appl. 35 (3): 99–123. https://doi.org/10.1016/S0898-1221(97)00282-4.
Li, D. Y., and Y. Du. 2005. Artificial intelligence with uncertainty. Beijing: National Defense Industry Press.
Li, D. Y., C. Y. Liu, and L. Y. Liu. 2004. “Study on the universality of the normal cloud model.” Eng. Sci. 6 (8): 18–24.
Liu, D. F., D. Wang, J. C. Wu, Y. K. Wang, L. C. Wang, X. Q. Zou, Y. F. Chen, and X. Chen. 2014. “A risk assessment method based on RBF artificial neural network-cloud model for urban water hazard.” J. Intell. Fuzzy Syst. 27 (5): 2409–2416. https://doi.org/10.3233/IFS-141210.
Liu, T. 2008. “Evaluation of existing shield tunnel.” [In Chinese.] Ph.D. thesis, College of Civil Engineering, Tongji Univ.
Martin, H., T. M. Lewis, A. Petersen, and E. Peters. 2017. “Cloudy with a chance of fuzzy: Building a multicriteria uncertainty model for construction project delivery selection.” J. Comput. Civ. Eng. 31 (1): 04016046. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000614.
Menendez, E., J. G. Victores, R. Montero, S. Martínez, and C. Balaguer. 2018. “Tunnel structural inspection and assessment using an autonomous robotic system.” Autom. Constr. 87: 117–126. https://doi.org/10.1016/j.autcon.2017.12.001.
Montero, R., J. G. Victores, S. Martínez, A. Jardón, and C. Balaguer. 2015. “Past, present and future of robotic tunnel inspection.” Autom. Constr. 59: 99–112. https://doi.org/10.1016/j.autcon.2015.02.003.
Parhoudeh, S., A. Baziar, A. Mazareie, and A. Kavousi-Fard. 2016. “A novel stochastic framework based on fuzzy cloud theory for modeling uncertainty in the micro-grids.” Electr. Power Energy Syst. 80: 73–80. https://doi.org/10.1016/j.ijepes.2016.01.033.
Tonon, F., A. Mammion, and A. Bernardini. 2002. “Multiobjective optimization under uncertainty in tunneling: Application to the design of tunnel support/reinforcement with case histories.” Tunnelling Underground Space Technol. 17 (1): 33–54. https://doi.org/10.1016/S0886-7798(02)00002-0.
Toutanji, H. 2000. “Ultrasonic wave velocity signal interpretation of simulated concrete bridge decks.” Mater. Struct. 33 (3): 207–215. https://doi.org/10.1007/BF02479416.
Wang, B., C. C. Mo, C. He, and Q. X. Yan. 2017. “Fuzzy synthetic evaluation of the long-term health of tunnel structures.” Appl. Sci. 7 (2): 203. https://doi.org/10.3390/app7020203.
Wang, D., D. F. Liu, H. Ding, V. P. Singh, Y. K. Wang, X. K. Zeng, J. C. Wu, and L. C. Wang. 2016. “A cloud model-based approach for water quality assessment.” Environ. Res. 148: 24–35. https://doi.org/10.1016/j.envres.2016.03.005.
Wang, F., H. W. Huang, and D. M. Zhang. 2013. “Deformation sensing method of shield tunnel based on optical fiber sensing technology of BOTDA.” [In Chinese.] Chin. J. Rock Mech. Eng. 32 (9): 1901–1908.
Wang, J., W. J. Xiao, S. W. Wang, F. X. Zhao, and Z. H. Li. 2010. “An improved effectiveness evaluation method based on cloud model.” [In Chinese.] Fire Control Command Control 35 (7): 139–142.
Xin, Y. Y. 2017. “The advanced geological prediction technology of tunnel with the geological radar and acoustic detection technology.” Agro Food Ind. Hi-Tech 28 (1): 3507–3511.
Yang, H., M. Omidalizarandi, X. Y. Xu, and I. Neumann. 2017. “Terrestrial laser scanning technology for deformation monitoring and surface modeling of arch structures.” Compos. Struct. 169: 173–179. https://doi.org/10.1016/j.compstruct.2016.10.095.
Yao, F. H., G. F. Shao, R. Takaue, and A. Tamaki. 2003. “Automatic concrete tunnel inspection robot system.” Adv. Rob. 17 (4): 319–337. https://doi.org/10.1163/156855303765203029.
Ye, Y. D. 2007. “Research on deformation and method of health diagnose of operational subway structures in soft soil.” [In Chinese.] Ph.D. thesis, College of Civil Engineering, Tongji Univ.
Yu, S. N., J. H. Jang, and C. S. Han. 2007. “Auto inspection system using a mobile robot for detecting concrete cracks in a tunnel.” Autom. Constr. 16 (3): 255–261. https://doi.org/10.1016/j.autcon.2006.05.003.
Yuan, Y., X. M. Jiang, and Q. Ai. 2017. “Probabilistic assessment for concrete spalling in tunnel structures.” J. Risk Uncertainty Eng. Syst. Part A Civ. Eng. 3 (4): 04017011. https://doi.org/10.1061/AJRUA6.0000912.
Zhang, W., K. Sun, C. Z. Lei, Y. C. Zhang, and H. X. Li. 2014. “Fuzzy analytic hierarchy process synthetic evaluation models for the health monitoring of shield tunnels.” Comput.-Aided Civ. Infrastruct. Eng. 29 (9): 676–688. https://doi.org/10.1111/mice.12091.
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Published In
Journal of Performance of Constructed Facilities
Volume 33 • Issue 1 • February 2019
Copyright
©2018 American Society of Civil Engineers.
History
Received: Feb 2, 2018
Accepted: Jul 17, 2018
Published online: Nov 24, 2018
Published in print: Feb 1, 2019
Discussion open until: Apr 24, 2019
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