Sustainable Infrastructure Maintenance: Crack Depth Detection in Tunnel Linings via Natural Temperature Variations and Infrared Imaging

Wenchuan Gu (), Xuezeng Liu and Zhen Li
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Wenchuan Gu: College of Civil Engineering, Tongji University, Shanghai 200092, China
Xuezeng Liu: College of Civil Engineering, Tongji University, Shanghai 200092, China
Zhen Li: College of Civil Engineering, Tongji University, Shanghai 200092, China

Sustainability, 2024, vol. 16, issue 9, 1-16

Abstract: In this research, we propose the use of infrared detection methods for identifying cracks in the tunnel lining of concrete structures. Through thermal simulation experiments on pre-existing cracks, we investigate the heat conduction patterns in cracked linings under natural temperature variations. The influence of temperature differences inside and outside the lining, crack depth, and crack width on the temperature distribution on the inner surface of the lining is analyzed by using a controlled variable approach. This exploration aims to assess the feasibility and applicable conditions of using infrared thermal imaging technology for detecting lining crack defects, contributing to sustainable maintenance of infrastructure. We further validate the experimental approach through numerical simulations. Considering the temperature distribution on the inner surface of the lining, it becomes feasible to comprehensively determine the location and depth of cracks. This offers a novel and rapid inspection method for tunnel lining cracks, thereby enhancing the sustainability of tunnel infrastructure.

Keywords: reinforcement corrosion; corrosion rate; infrared detection; numerical analysis; laboratory test; sustainability (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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