Damage detection and quantitative analysis of shield tunnel structure

Abstract The damage of lining widely exists in metro shield tunnels, which may weaken the structural performance, affect the durability of the structure and even cause accidents. Investigation and evaluation of the lining damage is an essential work to reduce the risk grade during the service life of the structure. A rapid detection and analysis system has been applied in the shield tunnel of Metro Line 2 in Changsha, China for surveying the damage of lining. The system can obtain high definition image information of tunnel surface through multiple array CCD cameras at high speed, and use intelligent analysis method to identify and quantify the damage. The types, morphological characteristics and distribution characteristics of structural damages were analyzed based on the automatic detection results. The causes and the factors influencing the structural damages have been concluded. Finally, the existing problems and development prospects of metro tunnel structure management are discussed from the point of view of construction and maintenance.

[1]  Cheng-Lin Zhang,et al.  Numerical simulation of dynamic response around shield tunnel in the soft soil area , 2017 .

[2]  S. Worthington,et al.  Enhancement of bedrock permeability by weathering , 2016 .

[3]  Hongwei Huang,et al.  Quantitative Geotechnical Risk Management for Tunneling Projects in China , 2015 .

[4]  Mingfeng Lei,et al.  Effects of lateral unloading on the mechanical and deformation performance of shield tunnel segment joints , 2016 .

[5]  Tai-Tien Wang,et al.  A novel characteristic matrix approach for analyzing displacement patterns of tunnels in operation , 2014 .

[6]  Chang-Soo Han,et al.  Auto inspection system using a mobile robot for detecting concrete cracks in a tunnel , 2007 .

[7]  D. Kolymbas,et al.  Groundwater ingress to tunnels - The exact analytical solution , 2007 .

[8]  Armando Mammino,et al.  Multiobjective optimization under uncertainty in tunneling: application to the design of tunnel support/reinforcement with case histories , 2002 .

[9]  Yujing Jiang,et al.  Seismic damage assessment of mountain tunnel: A case study on the Tawarayama tunnel due to the 2016 Kumamoto Earthquake , 2018 .

[10]  Wei Zhang,et al.  Fuzzy Analytic Hierarchy Process Synthetic Evaluation Models for the Health Monitoring of Shield Tunnels , 2014, Comput. Aided Civ. Infrastructure Eng..

[11]  Pengjiao Jia,et al.  Risk Analysis of the Opening of Shield-Tunnel Circumferential Joints Induced by Adjacent Deep Excavation , 2018 .

[12]  Evgeny Kozin.  Safety Operation Assurance for Metro Artificial Facilities During Underground Space Development in St. Petersburg , 2016 .

[13]  Lei Han,et al.  Pressures on the lining of a large shield tunnel with a small overburden: A case study , 2017 .

[14]  Carlos Balaguer,et al.  Tunnel structural inspection and assessment using an autonomous robotic system , 2018 .

[15]  Alberto Jardón,et al.  Past, present and future of robotic tunnel inspection , 2015 .

[16]  Wang Fe.  DEFORMATION SENSING METHOD OF SHIELD TUNNEL BASED ON OPTICAL FIBER SENSING TECHNOLOGY OF BOTDA , 2013 .

[17]  Jie Han,et al.  3D coupled mechanical and hydraulic modeling of a geosynthetic-reinforced deep mixed column-supported embankment , 2009 .

[18]  Mohamed El Tani,et al.  Circular tunnel in a semi-infinite aquifer , 2003 .

[19]  Carl J. Debono,et al.  Vision-based change detection for inspection of tunnel liners , 2018, Automation in Construction.

[20]  Fenghui Yao,et al.  Automatic concrete tunnel inspection robot system , 2003, Adv. Robotics.

[21]  Qixiang Yan,et al.  Numerical analysis of the cracking and failure behaviors of segmental lining structure of an underwater shield tunnel subjected to a derailed high-speed train impact , 2018 .

[22]  Song Er-xiang.  The analysis of excavation monitoring for the Pazhouta subway station in Guangzhou , 2005 .

[23]  Junneng Ye,et al.  Investigation of response of metro tunnels due to adjacent large excavation and protective measures in soft soils , 2016 .

[24]  Yun-Peng Li,et al.  Study of Influence of Subway Station Excavation on Existing Metro Deformation , 2009 .

[25]  Fei Wang,et al.  Inspection equipment study for subway tunnel defects by grey-scale image processing , 2017, Adv. Eng. Informatics.

[26]  Zhou Wan,et al.  Monitoring second lining of tunnel with mounted fiber Bragg grating strain sensors , 2008 .

[27]  Shunhua Zhou,et al.  Differential Settlement and Induced Structural Damage in a Cut-and-Cover Subway Tunnel in a Soft Deposit , 2016 .

[28]  Joon-Shik Moon,et al.  Excavation-induced hydraulic conductivity reduction around a tunnel – Part 1: Guideline for estimate of ground water inflow rate , 2010 .

[29]  Biao Zhou,et al.  Characteristics and causes of cracking and damage of shield tunnel segmented lining in construction stage – a case study in Shanghai soft soil , 2018 .

[30]  Jun Sheng Chen,et al.  Numerical study on crack problems in segments of shield tunnel using finite element method , 2009 .

[31]  S. Shen,et al.  Leaking behavior of shield tunnels under the Huangpu River of Shanghai with induced hazards , 2013, Natural Hazards.

[32]  Tanghong Liu,et al.  Numerical simulation of aerodynamic performance of a couple multiple units high-speed train , 2017 .

[33]  Lukumon O. Oyedele,et al.  Big Data in the construction industry: A review of present status, opportunities, and future trends , 2016, Adv. Eng. Informatics.

[34]  Dongming Zhang,et al.  Deformational responses of operated shield tunnel to extreme surcharge: a case study , 2017 .

[35]  Nor Badrul Anuar,et al.  The role of big data in smart city , 2016, Int. J. Inf. Manag..

[36]  Jerome F. Hajjar,et al.  Laser-based surface damage detection and quantification using predicted surface properties , 2017 .

[37]  Luis Samaniego,et al.  Exploratory Modelling Applied to Integrated Water Resources Management , 2007 .