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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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Alvarez-Montoya, Joham
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (7/7 displayed)
- 2021Toward Structural Health Monitoring of Civil Structures Based on Self-Sensing Concrete Nanocompositescitations
- 2020In-flight and wireless damage detection in a UAV composite wing using fiber optic sensors and strain field pattern recognitioncitations
- 2019Artificial Intelligence Metamodeling Approach to Design Smart Composite Laminates with Bend-Twist Couplingcitations
- 2019Synthesis and characterization of cement/carbon-nanotube composite for structural health monitoring applicationscitations
- 2018Structural health monitoring using carbon nanotube/epoxy composites and strain-field pattern recognition
- 2018Damage detection in composite aerostructures from strain and telemetry data fusion by means of pattern recognition techniques
- 2017Structural health monitoring on an unmanned aerial vehicle wing's beam based on fiber Bragg gratings and pattern recognition techniquescitations
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article
Structural health monitoring on an unmanned aerial vehicle wing's beam based on fiber Bragg gratings and pattern recognition techniques
Abstract
<p>Composite materials have been extensively used on new aircraft airframes because of their advantages over metallic materials. This represents a difficulty for damage detection, a vital task for safety on the aerospace industry, as most nondestructive testing techniques are not effective on these materials since those usually present internal failures like delaminations which are difficult to detect. A miniaturized strain acquisition and wireless transmission system is presented alongside with a novel technique for structural behavior assessment, based on the use of Fiber Bragg Gratings to measure strains and non-supervised classification techniques to recognize different operational conditions. Operational tests were performed on an Unmanned Aerial Vehicles wing's beam, made of composite materials with the sensors embedded during its manufacturing. Strain measurements were processed using an Optimal Baseline Selection methodology. The tests performed proved the system's capability to identify and separate different operational conditions for a healthy structure, based on the analysis of its strain fields. The implementation of this methodologies can lead to perform real-time damage detection on aerospace complex structures made of composite materials.</p>