| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Mcgugan, Malcolm
Technical University of Denmark
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (21/21 displayed)
- 2025Acoustic emission data analytics on delamination growth in a wind turbine blade under full-scale cyclic testingcitations
- 2024Understanding Fatigue Delamination Crack Growth in a Wind Turbine Rotor Blade Through an Element Testing
- 2021Fatigue testing of a 14.3 m composite blade embedded with artificial defects – damage growth and structural health monitoringcitations
- 2018Impact fatigue damage of coated glass fibre reinforced polymer laminatecitations
- 2018Impact fatigue damage of coated glass fibre reinforced polymer laminatecitations
- 2018Development of Single Point Impact Fatigue Tester (SPIFT)
- 2018Development of Single Point Impact Fatigue Tester (SPIFT)
- 2016Fibre Bragg Grating Sensor Signal Post-processing Algorithm: Crack Growth Monitoring in Fibre Reinforced Plastic Structurescitations
- 2015Crack Detection in Fibre Reinforced Plastic Structures Using Embedded Fibre Bragg Grating Sensors: Theory, Model Development and Experimental Validationcitations
- 2015Structural health monitoring method for wind turbine trailing edge: Crack growth detection using Fibre Bragg Grating sensor embedded in composite materials
- 2015Crack Growth Monitoring by Embedded Optical Fibre Bragg Grating Sensors: Fibre Reinforced Plastic Crack Growing Detectioncitations
- 2015Embedded Fibre Bragg Grating Sensor Response Model: Crack Growing Detection in Fibre Reinforced Plastic Materialscitations
- 2015Damage tolerant design and condition monitoring of composite material and bondlines in wind turbine blades: Failure and crack propagation
- 2015Crack growth monitoring in composite materials using embedded optical Fiber Bragg Grating sensor
- 2013Bondlines – Online blade measurements (October 2012 and January 2013)
- 2011Development and Testing of an Acoustoultrasonic Inspection Device for Condition Monitoring of Wind Turbine Blades
- 2010Full Scale Test of SSP 34m blade, edgewise loading LTT:Data Report 1
- 2008Full Scale Test of a SSP 34m boxgirder 2:Data report
- 2008Fundamentals for remote condition monitoring of offshore wind turbines
- 2008Full Scale Test of a SSP 34m boxgirder 2
- 2006Detecting and identifying damage in sandwich polymer composite by using acoustic emission
Places of action
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document
Crack growth monitoring in composite materials using embedded optical Fiber Bragg Grating sensor
Abstract
In this paper a novel method to assess a crack growing/damage event in fiber reinforced plastic, or adhesive using Fiber Bragg Grating (FBG) sensors embedded in a host material is shown. Different features of the crack mechanism that induce a change in the FBG response were identified. Double Cantilever Beams specimens made with glass fibre glued with structural adhesive, were instrumented with an array of FBG sensors embedded in the material and tested using an experimental fracture procedure. A digital image correlation technique was used to determine the presence of the specific phenomena caused by the crack, and to correlate with the FBG sensor. An algorithm was developed that analyses the reflected peak at each measurement time, and calculates the contribution of each fracture phenomenon to the change in the FBG response. This Material-Sensor model was implemented in a Finite Element Method (FEM) Model of the DCB specimen, to simulate the response of the FBG sensor during the process of crack growth, proving that this Material-Sensor model can be used as an analysis tool for future application of this measurement technology in more complex structures.