Application of Nondestructive Evaluation to Subway Tunnel Systems

Author:

Delatte Norbert1,Chen Shen-en1,Maini Nitin1,Parker Neville2,Agrawal Anil3,Mylonakis George4,Subramaniam Kolluru5,Kawaguchi Akira6,Bosela Paul7,McNeil Sue8,Miller Richard9

Affiliation:

1. Department of Civil and Environmental Engineering, University of Alabama at Birmingham, 1075 13th Street South, Hoehn Building, Suite 120, Birmingham, AL 35294-4440

2. 134 Steinman Hall/Y220

3. T-121 Steinman Hall

4. T-195 Steinman Hall

5. T-110 Steinman Hall, Department of Civil Engineering, School of Engineering, City College of New York, New York, NY 10031

6. NAC 8/215A, Department of Computer Science, School of Engineering, City College of New York, 138th Street at Convent Avenue, New York, NY 10031

7. Civil Engineering Department, Cleveland State University, Cleveland, OH 44115-2440

8. 412 South Peoria, Suite 340, Urban Transportation Center (MC 357), University of Illinois at Chicago, Chicago, IL 60607

9. Department of Civil and Environmental Engineering Rhodes 730, P.O. Box 210071, University of Cincinnati, Cincinnati, OH 45221-0071

Abstract

Subway tunnel condition assessment presents significant challenges for engineers and managers and is becoming increasingly important as the systems continue to age. Tunnels are in constant heavy use in an aggressive environment. Tunnel systems are vast, dark, and noisy. The national investment in subway tunnels is enormous, and careful maintenance and management are necessary to protect this investment. Technologies that can rapidly and accurately access the condition of subway tunnels without interfering with the normal operation of the system were studied. First, issues and problems in subway tunnel maintenance were reviewed through the literature and by interviewing transit agency managers and engineers. Next, different nondestructive evaluation (NDE) methods including spectral analysis of surface waves, impact echo, ground-penetrating radar, and impulse response were evaluated to determine the advantages and limitations of these methods on different problems like water leakage, corrosion, and cracks in subway tunnel systems. Issues of data and infrastructure management were also considered. NDE technologies have considerable potential for improving the maintenance and management of transit infrastructure. However, to fully realize that potential, further development is needed. It is necessary to distinguish between methods that require interruption of subway traffic from those that do not. Rapid screening NDE methods must be researched to develop clear signals of delamination, moisture-related damage, and other issues of concern. It is also necessary to develop automated procedures to process the vast amounts of data generated during extensive NDE testing. Case studies and demonstration projects must be developed and documented to convince managers of the utility of this approach.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Reference4 articles.

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2. Automatic Tunnel Crack Inspection Using an Efficient Mobile Imaging Module and a Lightweight CNN;IEEE Transactions on Intelligent Transportation Systems;2022-09

3. Convolutional Neural Network with Attention Module for Identification of Tunnel Seepage;Transportation Research Record: Journal of the Transportation Research Board;2022-05-23

4. Concrete Spalling Detection for Metro Tunnel from Point Cloud Based on Roughness Descriptor;Journal of Sensors;2019-05-02

5. Deep learning based image recognition for crack and leakage defects of metro shield tunnel;Tunnelling and Underground Space Technology;2018-07

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