Next Article in Journal
Thermo-Mechanical Fatigue Crack Growth of RR1000
Next Article in Special Issue
Inspection of Piezoceramic Transducers Used for Structural Health Monitoring
Previous Article in Journal
Numerical Prediction of the Mechanical Failure of the Intervertebral Disc under Complex Loading Conditions
Previous Article in Special Issue
A Bayesian Approach for Sensor Optimisation in Impact Identification
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Materials 2017, 10(1), 32; doi:10.3390/ma10010032

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

1
Faculty of Engineering and Natural Sciences, Sabanci University, Tuzla, 34956 Istanbul, Turkey
2
Faculty of Aeronautics and Astronautics, Ayazaga Campus, Istanbul Technical University, Maslak, 34469 Istanbul, Turkey
3
Integrated Manufacturing Technologies Research and Application Center, Sabanci University, Tuzla, 34956 Istanbul, Turkey
4
Sabanci University-Kordsa Global, Composite Technologies Center of Excellence, Istanbul Technology Development Zone, Sanayi Mah. Teknopark Blvd. No: 1/1B, Pendik, 34906 Istanbul, Turkey
5
Mechanical Engineering Department, University of Victoria, Victoria, BC V8W 2Y2, Canada
*
Author to whom correspondence should be addressed.
Academic Editors: M.H. Ferri Aliabadi and Zahra Sharif Khodaei
Received: 15 September 2016 / Revised: 16 December 2016 / Accepted: 20 December 2016 / Published: 3 January 2017
(This article belongs to the Special Issue Advances in Structural Health Monitoring for Aerospace Structures)
View Full-Text   |   Download PDF [2036 KB, uploaded 3 January 2017]   |  

Abstract

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. View Full-Text
Keywords: polymer-matrix composites; fatigue; mechanical testing; damage monitoring; fibre Bragg grating polymer-matrix composites; fatigue; mechanical testing; damage monitoring; fibre Bragg grating
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Kocaman, E.S.; Akay, E.; Yilmaz, C.; Turkmen, H.S.; Misirlioglu, I.B.; Suleman, A.; Yildiz, M. Monitoring the Damage State of Fiber Reinforced Composites Using an FBG Network for Failure Prediction. Materials 2017, 10, 32.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Materials EISSN 1996-1944 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top