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Monitoring the Damage State of Fiber Reinforced Composites Using an FBG Network for Failure Prediction

A structural health monitoring (SHM) study of biaxial glass fibre-reinforced epoxy matrix composites under a constant, high strain uniaxial fatigue loading is performed using fibre Bragg grating (FBG) optical sensors embedded in composites at various locations to monitor the evolution of local strai...

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Autores principales: Kocaman, Esat Selim, Akay, Erdem, Yilmaz, Cagatay, Turkmen, Halit Suleyman, Misirlioglu, Ibrahim Burc, Suleman, Afzal, Yildiz, Mehmet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5344542/
https://www.ncbi.nlm.nih.gov/pubmed/28772393
http://dx.doi.org/10.3390/ma10010032
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author Kocaman, Esat Selim
Akay, Erdem
Yilmaz, Cagatay
Turkmen, Halit Suleyman
Misirlioglu, Ibrahim Burc
Suleman, Afzal
Yildiz, Mehmet
author_facet Kocaman, Esat Selim
Akay, Erdem
Yilmaz, Cagatay
Turkmen, Halit Suleyman
Misirlioglu, Ibrahim Burc
Suleman, Afzal
Yildiz, Mehmet
author_sort Kocaman, Esat Selim
collection PubMed
description A structural health monitoring (SHM) study of biaxial glass fibre-reinforced epoxy matrix composites under a constant, high strain uniaxial fatigue loading is performed using fibre Bragg grating (FBG) optical sensors embedded in composites at various locations to monitor the evolution of local strains, thereby understanding the damage mechanisms. Concurrently, the temperature changes of the samples during the fatigue test have also been monitored at the same locations. Close to fracture, significant variations in local temperatures and strains are observed, and it is shown that the variations in temperature and strain can be used to predict imminent fracture. It is noted that the latter information cannot be obtained using external strain gages, which underlines the importance of the tracking of local strains internally.
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spelling pubmed-53445422017-07-28 Monitoring the Damage State of Fiber Reinforced Composites Using an FBG Network for Failure Prediction Kocaman, Esat Selim Akay, Erdem Yilmaz, Cagatay Turkmen, Halit Suleyman Misirlioglu, Ibrahim Burc Suleman, Afzal Yildiz, Mehmet Materials (Basel) Article A structural health monitoring (SHM) study of biaxial glass fibre-reinforced epoxy matrix composites under a constant, high strain uniaxial fatigue loading is performed using fibre Bragg grating (FBG) optical sensors embedded in composites at various locations to monitor the evolution of local strains, thereby understanding the damage mechanisms. Concurrently, the temperature changes of the samples during the fatigue test have also been monitored at the same locations. Close to fracture, significant variations in local temperatures and strains are observed, and it is shown that the variations in temperature and strain can be used to predict imminent fracture. It is noted that the latter information cannot be obtained using external strain gages, which underlines the importance of the tracking of local strains internally. MDPI 2017-01-03 /pmc/articles/PMC5344542/ /pubmed/28772393 http://dx.doi.org/10.3390/ma10010032 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
Kocaman, Esat Selim
Akay, Erdem
Yilmaz, Cagatay
Turkmen, Halit Suleyman
Misirlioglu, Ibrahim Burc
Suleman, Afzal
Yildiz, Mehmet
Monitoring the Damage State of Fiber Reinforced Composites Using an FBG Network for Failure Prediction
title Monitoring the Damage State of Fiber Reinforced Composites Using an FBG Network for Failure Prediction
title_full Monitoring the Damage State of Fiber Reinforced Composites Using an FBG Network for Failure Prediction
title_fullStr Monitoring the Damage State of Fiber Reinforced Composites Using an FBG Network for Failure Prediction
title_full_unstemmed Monitoring the Damage State of Fiber Reinforced Composites Using an FBG Network for Failure Prediction
title_short Monitoring the Damage State of Fiber Reinforced Composites Using an FBG Network for Failure Prediction
title_sort monitoring the damage state of fiber reinforced composites using an fbg network for failure prediction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5344542/
https://www.ncbi.nlm.nih.gov/pubmed/28772393
http://dx.doi.org/10.3390/ma10010032
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