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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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article
Crack Detection in Fibre Reinforced Plastic Structures Using Embedded Fibre Bragg Grating Sensors: Theory, Model Development and Experimental Validation
Abstract
In a fibre-reinforced polymer (FRP) structure designed using the emerging damage tolerance and structural health monitoring philosophy, sensors and models that describe crack propagation will enable a structure to operate despite the presence of damage by fully exploiting the material’s mechanical properties. When applying this concept to different structures, sensor systems and damage types, a combination of damage mechanics, monitoring technology, and modelling is required. The primary objective of this article is to demonstrate such a combination. This article is divided in three main topics: the damage mechanism (delamination of FRP), the structural health monitoring technology (fibre Bragg gratings to detect delamination), and the finite element method model of the structure that incorporates these concepts into a final and integrated damage-monitoring concept. A novel method for assessing a crack growth/damage event in fibre-reinforced polymer or structural adhesive-bonded structures using embedded fibre Bragg grating (FBG) sensors is presented by combining conventional measured parameters, such as wavelength shift, with parameters associated with measurement errors, typically ignored by the end-user. Conjointly, a novel model for sensor output prediction (virtual sensor) was developed using this FBG sensor crack monitoring concept and implemented in a finite element method code. The monitoring method was demonstrated and validated using glass fibre double cantilever beam specimens instrumented with an array of FBG sensors embedded in the material and tested using an experimental fracture procedure. The digital image correlation technique was used to validate the model prediction by correlating the specific sensor response caused by the crack with the developed model.