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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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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. |
format | Online Article Text |
id | pubmed-5344542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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