ORIGINAL RESEARCH article
Front. Earth Sci.
Sec. Geohazards and Georisks
This article is part of the Research TopicFailure Analysis and Risk Assessment of Natural Disasters Through Machine Learning and Numerical Simulation, volume VView all articles
Feasibility of Leakage Detection in Diaphragm Walls Using OFDR-Based Fiber-Optic Temperature Sensing with Active Heating
Provisionally accepted- Suzhou Rail Transit Science and Technology Innovation Research Institute Co., Ltd., Suzhou 215100, China, Suzhou, China
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Diaphragm walls are important subsurface retaining structures, and their cast quality is mainly influenced by geological conditions, construction methods, and equipment. Leakage stemming from defects in diaphragm walls is an intermittent yet critical issue that demands attention. To address the limitations of conventional inspection methods and devices — including difficulty in locating leaks in diaphragm walls, high detection cost, poor continuity, low immunity to interference, and limited timeliness — we propose a method for continuous detection of diaphragm-wall leakage using an active heat source combined with fully-distributed optical frequency-domain reflectometry (OFDR) temperature sensing. We designed and conducted indoor model tests, analyzed the characteristics of the temperature-rise curve during active heating and the accuracy of fiber-optic measurements, characterized the spatiotemporal distribution and evolution of temperature along leakage pathways and on exposed leakage surfaces at the leakage, accurately identified and located leaks, and preliminarily validated the feasibility of the method.
Keywords: diaphragm wall, leakage detection, active heating, Temperature sensing, Fully-distributed optical frequency-domain reflectometry (OFDR)
Received: 26 Sep 2025; Accepted: 27 Oct 2025.
Copyright: © 2025 Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Jianian Yang, 2257332788@qq.com
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