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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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Sierra, Julian
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (11/11 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
- 2019Structural design and manufacturing process of a low scale bio-inspired wind turbine bladescitations
- 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
- 2016Damage and nonlinearities detection in wind turbine blades based on strain field pattern recognition. FBGs, OBR and strain gauges comparisoncitations
- 2014A robust procedure for damage identification in a lattice spacecraft structural element by mean of Strain field pattern recognition techniques
- 2014Strain measurements and damage detection in large composite structures by fiber optics sensors
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document
Structural health monitoring using carbon nanotube/epoxy composites and strain-field pattern recognition
Abstract
<p>Structural Health Monitoring (SHM) aims to reduce costs and uncertainties in maintenance of aero-structures and wind turbines blades by using smart sensors. In this work, a Carbon Nanotube (CNT)/epoxy nanocomposite patch was developed for SHM based on strain field pattern recognition techniques in engineering structures. This relies on the piezoresistive capabilities of CNT nanocomposites and on the fact that damage occurrence produces changes in the strain field that can be detected by means of pattern recognition. Experimental tests were carried out by bonding the patch to an aluminum I-beam subjected to different load magnitudes in three-point bending. Resistance measurements were acquired from the patch using a multiplexed impedance tester in order to obtain 64 measurements that are correlated to strains in different directions. Then, the same experimental tests were carried out after inducing an artificial damage. The preliminary results showed that standardization needs to be performed to decouple changes due to the load magnitude from those produced by damage occurrence. In addition, slight changes in the strain field were noted in the standardized data for the damage condition. Future work will consist of implementing pattern recognition techniques to automatically detect such changes associated with damage occurrence and validate the methodology with different kind of damages.</p>