| 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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Butaud, Pauline
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (22/22 displayed)
- 2022Shape memory through contact : introduction of magnetofriction – shape memory polymers (MF-SMPs)
- 2022Development of a magneto-mechanical bench and experimental characterization of magneto-rheological elastomerscitations
- 2022In situ damping identification of plant fiber composites using dynamic grid nanoindentationcitations
- 2022On the use of thermomechanical couplings for the design of adaptive structures
- 2022Viscoelastic properties of plant fibers - Dynamic analysis and nanoindentation tests
- 2021Influence of water aging on the damping properties of plant fiber composites
- 2021Damping behavior of plant fiber composites : A review
- 2021Damping behavior of hemp and flax fibre reinforced greenpoxy composites
- 2020Real-time tuning of stiffness and damping properties of laminate composites
- 2020Towards a better understanding of the CMUTs potential for SHMapplications
- 2020In-core heat distribution control for adaptive damping and stiffness tuning of composite structures
- 2020Magnetic and dynamic mechanical properties of a highly coercive MRE based on NdFeB particles and a stiff matrix
- 2019Temperature control of a composite core for adaptive stiffness and damping
- 2019CMUT sensors based on circular membranes array for SHM applications
- 2019Black hole damping control with a thermally-driven shape memory polymer
- 2019Adaptive damping and stiffness control of composite structures: an experimental illustration
- 2018Identification of the viscoelastic properties of the tBA/PEGDMA polymer from multi-loading modes conducted over a wide frequency–temperature scale range
- 2017Design of thermally adaptive composite structures for damping and stiffness controlcitations
- 2016Sandwich structures with tunable damping properties: on the use of shape memory polymer as viscoelastic core
- 2015Investigations on the frequency and temperature effects on mechanical properties of a shape memory polymer (Veriflex)
- 2015Contribution to using shape memory polymers for the control of structural damping
- 2013Static and Dynamic Thermo Mechanical Characterization of a Bio-Compatible Shape Memory Polymer
Places of action
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conferencepaper
Black hole damping control with a thermally-driven shape memory polymer
Abstract
International audience ; Acoustic black holes are an emerging passive solution to control the propagation of waves without added mass. They consist in locally decrease the thickness of a main structure with an adequate power-law profile to slow down flexural waves. The higher the thickness contrast is, the higher the effciency is. The control of damping in the low stiffness area is important to ensure the vibration waves trapping: the stiffness decreases goes with a gradual damping increase. A strategy is developed in the presented work to actively control this damping by local heating of a memory shape-polymer like the tBA-PEGDMA whose elastic modulus and loss factor strongly depend on temperature. Studies are carried out to optimize the position of the viscoelastic material inside a given black hole, and the temperature distribution to decrease the reflection coeffcient . Is is shown that an optimize thermal field distribution in the adaptive polymer improves the properties of the black hole.