Experimental study on strain of SFRC tunnel lining segments using a comprehensive embedded optical fiber sensing system
In comparison to current techniques, optical fiber sensors (OFS) for structural health monitoring (SHM) of steel fibre reinforced concrete (SFRC) tunnel lining segments is an emerging technology that could enhance tunnel safety and reliability. However, the utilizing many measurement techniques in a...
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sg-ntu-dr.10356-1733452024-01-29T04:16:38Z Experimental study on strain of SFRC tunnel lining segments using a comprehensive embedded optical fiber sensing system Wang, Shun Madan, Aayush Zhao, Chaoyang Huang, Ean Seong Su, Thiri Chiew, Bryan J. Yang, Yaowen School of Civil and Environmental Engineering Engineering::Civil engineering Structural Health Monitoring Steel Fibre Reinforced Concrete In comparison to current techniques, optical fiber sensors (OFS) for structural health monitoring (SHM) of steel fibre reinforced concrete (SFRC) tunnel lining segments is an emerging technology that could enhance tunnel safety and reliability. However, the utilizing many measurement techniques in a single OFS technology has pros and cons, making it difficult to meet the demands for a comprehensive and reliable assessment for long-term monitoring inside tunnels. We present comprehensive OFS system for strain monitoring inside concrete tunnel lining segments. The system involves distributed optical fiber sensing (DOFS) cable, fiber Bragg grating (FBG) sensors, and chirped fiber Bragg grating (CFBG) sensors. The proposed system is particularly useful for high-risk or difficult-to-access locations, such as inside tunnel structures. We provide the deployment design after introducing the sensing principle of the system. To validate its effectiveness and reliability, we conduct a scaled-down laboratory experiment to evaluate the strain behavior. The proposed comprehensive OFS system accurately captures the strain evolution over time in various stages of tunnel lining segments, including casting, curing, loading, and even after failure. This system demonstrates high-resolution, and reliable monitoring of internal strain in tunnel lining segments, making it suitable for practical application in full-scale and long-term SHM during the construction and operation stages of shield tunnels with connection expansion for segments. Ministry of National Development (MND) National Research Foundation (NRF) This research is supported by the National Research Foundation, Singapore, and Ministry of National Development, Singapore under its Cities of Tomorrow R&D Programme (CoT Award No:. COT-V3-2020-4). 2024-01-29T04:16:38Z 2024-01-29T04:16:38Z 2023 Journal Article Wang, S., Madan, A., Zhao, C., Huang, E. S., Su, T., Chiew, B. J. & Yang, Y. (2023). Experimental study on strain of SFRC tunnel lining segments using a comprehensive embedded optical fiber sensing system. Measurement, 223, 113791-. https://dx.doi.org/10.1016/j.measurement.2023.113791 0263-2241 https://hdl.handle.net/10356/173345 10.1016/j.measurement.2023.113791 2-s2.0-85175529188 223 113791 en COT-V3-2020-4 Measurement © 2023 Elsevier Ltd. All rights reserved. |
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Engineering::Civil engineering Structural Health Monitoring Steel Fibre Reinforced Concrete Wang, Shun Madan, Aayush Zhao, Chaoyang Huang, Ean Seong Su, Thiri Chiew, Bryan J. Yang, Yaowen Experimental study on strain of SFRC tunnel lining segments using a comprehensive embedded optical fiber sensing system |
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In comparison to current techniques, optical fiber sensors (OFS) for structural health monitoring (SHM) of steel fibre reinforced concrete (SFRC) tunnel lining segments is an emerging technology that could enhance tunnel safety and reliability. However, the utilizing many measurement techniques in a single OFS technology has pros and cons, making it difficult to meet the demands for a comprehensive and reliable assessment for long-term monitoring inside tunnels. We present comprehensive OFS system for strain monitoring inside concrete tunnel lining segments. The system involves distributed optical fiber sensing (DOFS) cable, fiber Bragg grating (FBG) sensors, and chirped fiber Bragg grating (CFBG) sensors. The proposed system is particularly useful for high-risk or difficult-to-access locations, such as inside tunnel structures. We provide the deployment design after introducing the sensing principle of the system. To validate its effectiveness and reliability, we conduct a scaled-down laboratory experiment to evaluate the strain behavior. The proposed comprehensive OFS system accurately captures the strain evolution over time in various stages of tunnel lining segments, including casting, curing, loading, and even after failure. This system demonstrates high-resolution, and reliable monitoring of internal strain in tunnel lining segments, making it suitable for practical application in full-scale and long-term SHM during the construction and operation stages of shield tunnels with connection expansion for segments. |
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School of Civil and Environmental Engineering |
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School of Civil and Environmental Engineering Wang, Shun Madan, Aayush Zhao, Chaoyang Huang, Ean Seong Su, Thiri Chiew, Bryan J. Yang, Yaowen |
format |
Article |
author |
Wang, Shun Madan, Aayush Zhao, Chaoyang Huang, Ean Seong Su, Thiri Chiew, Bryan J. Yang, Yaowen |
author_sort |
Wang, Shun |
title |
Experimental study on strain of SFRC tunnel lining segments using a comprehensive embedded optical fiber sensing system |
title_short |
Experimental study on strain of SFRC tunnel lining segments using a comprehensive embedded optical fiber sensing system |
title_full |
Experimental study on strain of SFRC tunnel lining segments using a comprehensive embedded optical fiber sensing system |
title_fullStr |
Experimental study on strain of SFRC tunnel lining segments using a comprehensive embedded optical fiber sensing system |
title_full_unstemmed |
Experimental study on strain of SFRC tunnel lining segments using a comprehensive embedded optical fiber sensing system |
title_sort |
experimental study on strain of sfrc tunnel lining segments using a comprehensive embedded optical fiber sensing system |
publishDate |
2024 |
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https://hdl.handle.net/10356/173345 |
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1789482999089201152 |