| 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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Leduc, Damien
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (14/14 displayed)
- 2024Mechanical and ultrasound characterizations of aging of blade materials in marine environment
- 2024Integrated analysis of materials for offshore wind turbine blades: mechanical and acoustical coupling
- 2023Ultrasounds Methods for Non Destructive Evaluation of Composite Structural Bonding Ageing in Marine environment
- 2023Ultrasounds Methods for Non Destructive Evaluation of Composite Structural Bonding Ageing in Marine environment
- 2022Etude d’assemblages composites vieillis en vue d’application dans les systèmes de production des énergies marines renouvelables
- 2022Characterization of thin biological layer by scanning acoustic microscope (SAM)
- 2020Detection of the degraded interface in dissymmetrical glued structures using Lamb wavescitations
- 2019Analysis of Shear Waves in Bonded Layers Using Springs Model
- 2019Analysis of shear waves in bonded layers using springs model
- 2018Evaluation of epoxy crosslinking using ultrasonic Lamb wavescitations
- 2017Effects of the interface roughness in metal-adhesive-metal structure on the propagation of shear horizontal wavescitations
- 2016Innovating for Structural Adhesive Bonding Evaluation and Analysis with Ultrasounds : A Summary
- 2016PRELIMINARY STRUCTURAL ULTRASONIC CHARACTERIZATION OF HYDROXYAPATITE
- 2016Preliminary structural ultrasonic characterization of Hydroxyapatite
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document
Ultrasounds Methods for Non Destructive Evaluation of Composite Structural Bonding Ageing in Marine environment
Abstract
With the growing use of marine renewable ener-gies production, it become of great interest to control the state of health of tidal and wind tur-bine blades as they are the first components in contact responsible of the energy conversion. Somme industries of renewable energies systems use assembled composite materials for blades manufacturing. The composite materials are used thanks to their well-known properties of lightness and robustness. One of the most used technique of assembly of composite materials is based on the gluing, as it permits a stress repartition on the hole surface of the materials and a lightness of the assembled resulting structure, by opposition to mechanical methods based on riveting or bolt-ing which provide local stress and heaviness, and could also be responsible on the entrance of de-fects in the structure. Due to their function, the blades are placed in a hostile humid, saline and windy environment which can be responsible of damage and degradation. It is then crucial to have information on their state of health both to opti-mize energy conversion efficiency and to indi-cate advanced degradations requiring mainte-nance or replacement. This is the aim of this work: to give ultrasounds nondestructive indica-tors on the health state of structural composite bonding aged in marine medium. In this work, several samples are manufactured: single layer of composite material, bilayer com-posite/Epoxy adhesive and trilayer compo-site/Epoxy adhesive/composite. Some samples are kept as reference samples, the other samples are degraded with climatic and marine in situ ag-ing. Different ultrasounds experimental methods are used based on the propagation of bulk longi-tudinal waves or guided Lamb waves, which pro-vide Cscan analysis and dispersion curves for the reference samples and the aged samples. Experi-mental results are compared to numerical ones obtained from a numerical model solved by Fi-nite Elements Method (FEM). Different states of aging are quantified by driving out the acoustic tensor constants.