Artificial Intelligence and Data Science
Online ISSN : 2435-9262
Research on the soundness evaluation of mountain tunnel linings using image analysis
Takahiro MAEDAChitose KURODAKoji YOSHIDAToshinori NIIMINoriyuki UTAGAWAPang-jo CHUN
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JOURNAL OPEN ACCESS

2024 Volume 5 Issue 3 Pages 262-271

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Abstract

Recently, concrete structures are required to be properly maintained. However, inspections of concrete structures are labor-intensive. The purpose of this research is to improve the efficiency and accuracy of the soundness evaluation of tunnel linings. Until now, we have been investigating the method to detect defects such as cracks on tunnel linings using image analysis. In addition, we also have been developing the method to identify the three types of critical defects from those defects. We have confirmed that these methods can be used to accurately detect the three types of critical defects in images of tunnel linings. The results of this research may contribute to efficient and accurate the soundness evaluation of tunnel linings.

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© 2024 Japan Society of Civil Engineers
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