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Fiber Optic Sensor Embedment Study for Multi-Parameter Strain Sensing

The fiber optic sensors (FOSs) are commonly used for large-scale structure monitoring systems for their small size, noise free and low electrical risk characteristics. Embedded fiber optic sensors (FOSs) lead to micro-damage in composite structures. This damage generation threshold is based on the c...

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Autores principales: Drissi-Habti, Monssef, Raman, Venkadesh, Khadour, Aghiad, Timorian, Safiullah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5419780/
https://www.ncbi.nlm.nih.gov/pubmed/28333117
http://dx.doi.org/10.3390/s17040667
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author Drissi-Habti, Monssef
Raman, Venkadesh
Khadour, Aghiad
Timorian, Safiullah
author_facet Drissi-Habti, Monssef
Raman, Venkadesh
Khadour, Aghiad
Timorian, Safiullah
author_sort Drissi-Habti, Monssef
collection PubMed
description The fiber optic sensors (FOSs) are commonly used for large-scale structure monitoring systems for their small size, noise free and low electrical risk characteristics. Embedded fiber optic sensors (FOSs) lead to micro-damage in composite structures. This damage generation threshold is based on the coating material of the FOSs and their diameter. In addition, embedded FOSs are aligned parallel to reinforcement fibers to avoid micro-damage creation. This linear positioning of distributed FOS fails to provide all strain parameters. We suggest novel sinusoidal sensor positioning to overcome this issue. This method tends to provide multi-parameter strains in a large surface area. The effectiveness of sinusoidal FOS positioning over linear FOS positioning is studied under both numerical and experimental methods. This study proves the advantages of the sinusoidal positioning method for FOS in composite material’s bonding.
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spelling pubmed-54197802017-05-12 Fiber Optic Sensor Embedment Study for Multi-Parameter Strain Sensing Drissi-Habti, Monssef Raman, Venkadesh Khadour, Aghiad Timorian, Safiullah Sensors (Basel) Article The fiber optic sensors (FOSs) are commonly used for large-scale structure monitoring systems for their small size, noise free and low electrical risk characteristics. Embedded fiber optic sensors (FOSs) lead to micro-damage in composite structures. This damage generation threshold is based on the coating material of the FOSs and their diameter. In addition, embedded FOSs are aligned parallel to reinforcement fibers to avoid micro-damage creation. This linear positioning of distributed FOS fails to provide all strain parameters. We suggest novel sinusoidal sensor positioning to overcome this issue. This method tends to provide multi-parameter strains in a large surface area. The effectiveness of sinusoidal FOS positioning over linear FOS positioning is studied under both numerical and experimental methods. This study proves the advantages of the sinusoidal positioning method for FOS in composite material’s bonding. MDPI 2017-03-23 /pmc/articles/PMC5419780/ /pubmed/28333117 http://dx.doi.org/10.3390/s17040667 Text en © 2017 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
Drissi-Habti, Monssef
Raman, Venkadesh
Khadour, Aghiad
Timorian, Safiullah
Fiber Optic Sensor Embedment Study for Multi-Parameter Strain Sensing
title Fiber Optic Sensor Embedment Study for Multi-Parameter Strain Sensing
title_full Fiber Optic Sensor Embedment Study for Multi-Parameter Strain Sensing
title_fullStr Fiber Optic Sensor Embedment Study for Multi-Parameter Strain Sensing
title_full_unstemmed Fiber Optic Sensor Embedment Study for Multi-Parameter Strain Sensing
title_short Fiber Optic Sensor Embedment Study for Multi-Parameter Strain Sensing
title_sort fiber optic sensor embedment study for multi-parameter strain sensing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5419780/
https://www.ncbi.nlm.nih.gov/pubmed/28333117
http://dx.doi.org/10.3390/s17040667
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