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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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Ameur, Mariem Ben
in Cooperation with on an Cooperation-Score of 37%
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Publications (6/6 displayed)
- 2020Experimental fatigue behavior of carbon/flax hybrid composites under tensile loadingcitations
- 2019Investigation and identification of damage mechanisms of unidirectional carbon/flax hybrid composites using acoustic emissioncitations
- 2019Hybridization effect on the mechanical and vibration properties of flax-carbon composites
- 2019Tensile Fatigue Behavior of Carbon-Flax/Epoxy Hybrid Compositescitations
- 2019Damage mechanisms assessment of hybrid carbon/flax fibre composites using acoustic emissioncitations
- 2018Damping Analysis of Unidirectional Carbon/Flax Fiber Hybrid Compositescitations
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article
Investigation and identification of damage mechanisms of unidirectional carbon/flax hybrid composites using acoustic emission
Abstract
The objective of the present experimental work is to determine the damage mechanisms appearing in unidirectional carbon/flax hybrid composites during tensile tests. The specimens tested consist of unidirectional carbon and flax fiber plies with different stacking sequences. Laminated composites were manufactured using a manual lay-up process. The specimens were tested under uniaxial tensile loading in static and cyclic fatigue tests. The tests carried out were monitored by the acoustic emission (AE) technique in order to identify the damage mechanisms evolutions. This identification was made with an unsupervised clustering technique. The recorded events were classified with the k-means algorithm based on temporal classification parameters. For each kind of specimen, four classes of AE events were obtained. Then, the contribution of each damage mechanism to overall failure was evaluated by the amplitude range, the cumulative number of hits and the acoustic energy activity. The AE classes obtained were correlated with scanning electron microscopy (SEM) observations in order to identify the damage mechanisms observed.