Designing a Distributed Sensing Network for Structural Health Monitoring of Concrete Tunnels

A Case Study

Journal Article (2024)
Author(s)

Xuehui Zhang (Geo-engineering, The Hong Kong Polytechnic University)

Hong-Hu Zhu (Nanjing University)

Xi Jiang (Tongji University)

Wout Broere (Geo-engineering)

Luyuan Long (Student TU Delft)

Geo-engineering
DOI related publication
https://doi.org/10.1155/2024/6087901 Final published version
More Info
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Publication Year
2024
Language
English
Geo-engineering
Journal title
Structural Control and Health Monitoring
Issue number
1
Volume number
2024
Article number
6087901
Downloads counter
36
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Abstract

Structural health monitoring is essential for the lifecycle maintenance of tunnel infrastructure. Distributed fiber-optic sensor (DFOS) technology, which is capable of distributed strain measurement and long-range sensing, is an ideal nondestructive testing (NDT) approach for monitoring linear infrastructures. This research aims to develop a distributed sensing network utilizing DFOS for structural integrity assessment of concrete immersed tunnels. The primary innovations of this study lie in the development of a general flowchart for establishing a sensing network and obtaining reliable field data, as well as its subsequent validation through a detailed case study. Concentrated joint deformations in typical immersed tunnels, detectable by the DFOS, are key indicators of structural integrity. This study addresses crucial elements of field monitoring system design, including the selection of appropriate optical fibers or cables and the determination of vital interrogator system parameters. It also covers sensor parameter determination, installation techniques, field data collection, and postanalysis. Furthermore, this research is exemplified by a case study that illustrates the successful implementation of a distributed sensing network in an operational immersed tunnel, and monitoring data reveals cyclic structural deformations under impacts of daily tide and seasonal temperature variations. The data obtained from this network play a significant role in subsequent condition assessments of tunnel structures. The research findings contribute to the assessment of large-scale infrastructure health conditions through the application of DFOS monitoring.