Rapid Identification and Location of Defects behind Tunnel Lining Based on Ground-Penetrating Radar
Publication: Journal of Performance of Constructed Facilities
Volume 37, Issue 4
Abstract
Ground-penetrating radar (GPR) is a mainstream tool to detect defects behind tunnel linings, but the difficulty in interpreting GPR signals limits its application. This paper proposes an intelligent way to differentiate the defects behind tunnel linings by means of a model test and feature parameter analysis, to achieve an efficient and accurate analysis of GPR signals. The model test reveals the differences between defect and non-defect GPR data in amplitude, signal entropy, standard deviation, and other feature parameters. The amplitude of the defect data was on average six times as large as that of non-defect data, and the signal entropy was about 1.2 times larger. The two feature parameters lay the basis for defect detection by GPR. On this basis, a GPR-based automatic identification method was proposed, and the program was compiled on MATLAB. The program achieved a defect recognition rate as high as 96% through a field test at a rapid speed. The program is highly accurate and feasible for detecting defects behind tunnel linings with the aid of GPR.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This work was supported by the Shandong Key Research and Development Plan (2019JZZY010429), and the Science and Technology Plan of Shandong Transportation Department (2019B48). We very much appreciate the efforts made by the editorial board and the reviewers of this paper.
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Published In
Journal of Performance of Constructed Facilities
Volume 37 • Issue 4 • August 2023
Copyright
© 2023 American Society of Civil Engineers.
History
Received: May 1, 2021
Accepted: Feb 22, 2023
Published online: May 24, 2023
Published in print: Aug 1, 2023
Discussion open until: Oct 24, 2023
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