Monitoring tunnel liners using fibre optic sensors

The issue of Structural Health Monitoring (SHM) is gaining importance as a means of assessing the health of a structure by determining the amount of degradation and evaluating the remaining service life of civil infrastructure systems. The successful field implementation of SHM has not been widely a...

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Main Author: Wiyata Sadikin
Other Authors: Yang Yaowen
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
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Online Access:https://hdl.handle.net/10356/163708
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1637082022-12-17T14:11:09Z Monitoring tunnel liners using fibre optic sensors Wiyata Sadikin Yang Yaowen School of Civil and Environmental Engineering CYWYang@ntu.edu.sg Engineering::Civil engineering The issue of Structural Health Monitoring (SHM) is gaining importance as a means of assessing the health of a structure by determining the amount of degradation and evaluating the remaining service life of civil infrastructure systems. The successful field implementation of SHM has not been widely achieved and is contingent upon overcoming several obstacles, namely the development and demonstration of SHM sensors with long-term stability and reliability, and the validation of the capability of SHM systems in terms of the probability of flaw detection. SHM based on modern sensor technologies has the potential to be a cost-effective method for meeting operational needs. Currently, the various kinds of Fibre Optic Sensors (FOS) are being examined as a viable load monitoring instrument. Meanwhile, the local construction authority is exploring innovative and more cost-effective materials to enhance its tunnel construction and service. One material that has been slated to be used in future projects is the Steel Fibre Reinforced Concrete (SFRC). This material has been found in previous studies to possess greater strength than the conventional precast RC segments. Therefore, the construction industry seeks to have reliable structural monitoring systems to monitor the health of the SFRC segments when they are embedded into permanent tunnel structures in the future. As such, in this report, an experimental investigation was done to explore the structural behaviour of the SFRC segment under static flexural loads with three types of FOS; namely the Fibre Bragg Grating (FBG), Distributed Fibre Optic Sensor (DFOS) and Chirped Fibre Bragg Grating (CFBG) as well as to compare the strain relationship from the data produced by these sensors. The test results are examined for trends that are consistent across each type of sensor to evaluate each other’s reliability. Ultimately, the findings from this series of tests supports the assertion that all three types of FOS tested provide reliable strain readings within the SFRC. Bachelor of Engineering (Civil) 2022-12-17T14:11:09Z 2022-12-17T14:11:09Z 2023 Final Year Project (FYP) Wiyata Sadikin (2023). Monitoring tunnel liners using fibre optic sensors. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/163708 https://hdl.handle.net/10356/163708 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Civil engineering
spellingShingle Engineering::Civil engineering
Wiyata Sadikin
Monitoring tunnel liners using fibre optic sensors
description The issue of Structural Health Monitoring (SHM) is gaining importance as a means of assessing the health of a structure by determining the amount of degradation and evaluating the remaining service life of civil infrastructure systems. The successful field implementation of SHM has not been widely achieved and is contingent upon overcoming several obstacles, namely the development and demonstration of SHM sensors with long-term stability and reliability, and the validation of the capability of SHM systems in terms of the probability of flaw detection. SHM based on modern sensor technologies has the potential to be a cost-effective method for meeting operational needs. Currently, the various kinds of Fibre Optic Sensors (FOS) are being examined as a viable load monitoring instrument. Meanwhile, the local construction authority is exploring innovative and more cost-effective materials to enhance its tunnel construction and service. One material that has been slated to be used in future projects is the Steel Fibre Reinforced Concrete (SFRC). This material has been found in previous studies to possess greater strength than the conventional precast RC segments. Therefore, the construction industry seeks to have reliable structural monitoring systems to monitor the health of the SFRC segments when they are embedded into permanent tunnel structures in the future. As such, in this report, an experimental investigation was done to explore the structural behaviour of the SFRC segment under static flexural loads with three types of FOS; namely the Fibre Bragg Grating (FBG), Distributed Fibre Optic Sensor (DFOS) and Chirped Fibre Bragg Grating (CFBG) as well as to compare the strain relationship from the data produced by these sensors. The test results are examined for trends that are consistent across each type of sensor to evaluate each other’s reliability. Ultimately, the findings from this series of tests supports the assertion that all three types of FOS tested provide reliable strain readings within the SFRC.
author2 Yang Yaowen
author_facet Yang Yaowen
Wiyata Sadikin
format Final Year Project
author Wiyata Sadikin
author_sort Wiyata Sadikin
title Monitoring tunnel liners using fibre optic sensors
title_short Monitoring tunnel liners using fibre optic sensors
title_full Monitoring tunnel liners using fibre optic sensors
title_fullStr Monitoring tunnel liners using fibre optic sensors
title_full_unstemmed Monitoring tunnel liners using fibre optic sensors
title_sort monitoring tunnel liners using fibre optic sensors
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/163708
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