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Large Structural Shear Deformation and Failure Monitoring Using Bend Losses in Polymer Optical Fibre

Rapid identification of structural damage positions is essential to the post-disaster rehabilitation of structures and infrastructures. Large shear deformation, e.g., shear failure of bridge piers, shear-slip of slopes, and shear cracking of structural walls, is often the cause of structural instabi...

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Autores principales: Yuen, Terry Y. P., Tsai, Cheng-An, Deb, Trissa, Lin, Yu-Hsiang, Nyienyi, June, Wan, Kai Tai, Huang, Qunxian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6983129/
https://www.ncbi.nlm.nih.gov/pubmed/31905781
http://dx.doi.org/10.3390/s20010195
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author Yuen, Terry Y. P.
Tsai, Cheng-An
Deb, Trissa
Lin, Yu-Hsiang
Nyienyi, June
Wan, Kai Tai
Huang, Qunxian
author_facet Yuen, Terry Y. P.
Tsai, Cheng-An
Deb, Trissa
Lin, Yu-Hsiang
Nyienyi, June
Wan, Kai Tai
Huang, Qunxian
author_sort Yuen, Terry Y. P.
collection PubMed
description Rapid identification of structural damage positions is essential to the post-disaster rehabilitation of structures and infrastructures. Large shear deformation, e.g., shear failure of bridge piers, shear-slip of slopes, and shear cracking of structural walls, is often the cause of structural instability. Distributed optical fibre sensing (DOFS) techniques have an advantage over point-based sensors in terms of spatial continuous structural condition monitoring. This paper presents the development of new measurement theory and algorithm to evaluate the structural shear deflection based on the large beam deflection and optical bend loss theories. The proposed technique adopted a photon-counting Optical Time Domain Reflectometer (ν-OTDR) with polymer optical fibres (POFs) which has a large deformation measurement range and high spatial resolution. In the experiment, shear deformation events can be successfully detected and evaluated from the proposed technique. When the normalised shear deformation is larger than 0.2, both the event locations and the magnitudes can be accurately determined. When normalised shear deformation is lesser than 0.2, the error in the magnitude evaluation increased, but the event location can be found with an absolute error <0.5 m. Multiple shear events can be treated as independent events when they are separated by more than 5 m. Various configurations of POFs attached to concrete beam specimens for rupture failure monitoring were also studied. The configuration that could maximise the POF curvature at the beam failure produced the largest ν-OTDR signals. In other configurations in which the POFs were only stretched at failure, the signals were less strong and were influenced by the POF-structure bonding strength.
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spelling pubmed-69831292020-02-06 Large Structural Shear Deformation and Failure Monitoring Using Bend Losses in Polymer Optical Fibre Yuen, Terry Y. P. Tsai, Cheng-An Deb, Trissa Lin, Yu-Hsiang Nyienyi, June Wan, Kai Tai Huang, Qunxian Sensors (Basel) Article Rapid identification of structural damage positions is essential to the post-disaster rehabilitation of structures and infrastructures. Large shear deformation, e.g., shear failure of bridge piers, shear-slip of slopes, and shear cracking of structural walls, is often the cause of structural instability. Distributed optical fibre sensing (DOFS) techniques have an advantage over point-based sensors in terms of spatial continuous structural condition monitoring. This paper presents the development of new measurement theory and algorithm to evaluate the structural shear deflection based on the large beam deflection and optical bend loss theories. The proposed technique adopted a photon-counting Optical Time Domain Reflectometer (ν-OTDR) with polymer optical fibres (POFs) which has a large deformation measurement range and high spatial resolution. In the experiment, shear deformation events can be successfully detected and evaluated from the proposed technique. When the normalised shear deformation is larger than 0.2, both the event locations and the magnitudes can be accurately determined. When normalised shear deformation is lesser than 0.2, the error in the magnitude evaluation increased, but the event location can be found with an absolute error <0.5 m. Multiple shear events can be treated as independent events when they are separated by more than 5 m. Various configurations of POFs attached to concrete beam specimens for rupture failure monitoring were also studied. The configuration that could maximise the POF curvature at the beam failure produced the largest ν-OTDR signals. In other configurations in which the POFs were only stretched at failure, the signals were less strong and were influenced by the POF-structure bonding strength. MDPI 2019-12-29 /pmc/articles/PMC6983129/ /pubmed/31905781 http://dx.doi.org/10.3390/s20010195 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yuen, Terry Y. P.
Tsai, Cheng-An
Deb, Trissa
Lin, Yu-Hsiang
Nyienyi, June
Wan, Kai Tai
Huang, Qunxian
Large Structural Shear Deformation and Failure Monitoring Using Bend Losses in Polymer Optical Fibre
title Large Structural Shear Deformation and Failure Monitoring Using Bend Losses in Polymer Optical Fibre
title_full Large Structural Shear Deformation and Failure Monitoring Using Bend Losses in Polymer Optical Fibre
title_fullStr Large Structural Shear Deformation and Failure Monitoring Using Bend Losses in Polymer Optical Fibre
title_full_unstemmed Large Structural Shear Deformation and Failure Monitoring Using Bend Losses in Polymer Optical Fibre
title_short Large Structural Shear Deformation and Failure Monitoring Using Bend Losses in Polymer Optical Fibre
title_sort large structural shear deformation and failure monitoring using bend losses in polymer optical fibre
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6983129/
https://www.ncbi.nlm.nih.gov/pubmed/31905781
http://dx.doi.org/10.3390/s20010195
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