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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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Allegri, Giuliano
University of Bristol
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (32/32 displayed)
- 2024Fuzzy overbraids for improved structural performance
- 2024Evaluation of manufacturing methods for pultruded rod based hierarchical composite structural members with minimal porosity
- 2024Cobotic manufacture of hierarchically architectured composite materials
- 2024Characterisation of Highly-Aligned, Discontinuous, Fibre Composites for Compressive Performance
- 2023Assessing the mechanical and static aeroelastic performance of cellular Kirigami wingbox designscitations
- 2023Assessing the mechanical and static aeroelastic performance of cellular Kirigami wingbox designscitations
- 2023Fatigue Delaminations in Composites for Wind Turbine Blades with Artificial Wrinkle Defectscitations
- 2023Fatigue Delaminations in Composites for Wind Turbine Blades with Artificial Wrinkle Defectscitations
- 2023Failure analysis of unidirectional composites under longitudinal compression considering defects
- 2022MANUFACTURING OF NOVEL HIERARCHICAL HYBRIDISED COMPOSITES
- 2022MANUFACTURING OF NOVEL HIERARCHICAL HYBRIDISED COMPOSITES
- 2022Embedding artificial neural networks into twin cohesive zone models for composites fatigue delamination prediction under various stress ratios and mode mixitiescitations
- 2022Sensing delamination in composites reinforced by ferromagnetic Z-pins via electromagnetic inductioncitations
- 2021A route to sustainable aviationcitations
- 2021Embedding artificial neural networks into twin cohesive zone models for composites fatigue delamination prediction under various stress ratios and mode mixitiescitations
- 2021Effects of ferromagnetic & carbon-fibre Z-Pins on the magnetic properties of compositescitations
- 2021Mode I and Mode II interfacial fracture energy of SiC/BN/SiC CMCscitations
- 2020An energy-equivalent bridging map formulation for modelling delamination in through-thickness reinforced composite laminatescitations
- 2020A Unified Formulation for Fatigue Crack Onset and Growth via Cohesive Zone Modelling
- 2019Coupon scale Z-pinned IM7/8552 delamination tests under dynamic loadingcitations
- 2019Z-Pin Through-thickness enhancement of a composite laminate with variable thickness
- 2018Dynamic bridging mechanisms of through-thickness reinforced composite laminates in mixed mode delaminationcitations
- 2017Dynamic bridging mechanisms of through-thickness reinforced composite laminates in mixed mode delaminationcitations
- 2016An Experimental Investigation into Multi-Functional Z-pinned Composite Laminatescitations
- 2016On the delamination self-sensing function of Z-pinned composite laminatescitations
- 2016A Simplified Layered Beam Approach for Predicting Ply Drop Delamination in Thick Composite Laminatescitations
- 2015Through-thickness sensing of single Z-pin reinforced composite laminates
- 2015A cut-ply specimen for the mixed-mode fracture toughness and fatigue characterisation of FRPscitations
- 2013A new semi-empirical law for variable stress-ratio and mixed-mode fatigue delamination growthcitations
- 2013Buffeting mitigation using carbon nanotube composites: a feasibility studycitations
- 2013Buffeting mitigation using carbon nanotube compositescitations
- 2010An approach for dealing with high local stresses in finite element analysescitations
Places of action
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article
Buffeting mitigation using carbon nanotube composites
Abstract
<p>The article describes a feasibility study to assess the use of nanotubes-based composites to mitigate tail buffeting. The buffeting of a representative business jet rudder is considered as case study. The baseline rudder configuration consists in a sandwich structure with honeycomb core and carbon/epoxy IM7/8552 skins. The damping characteristics of the baseline rudder configuration are compared to those achieved employing constrained layer Al/3M467 skin patches, and those obtained by dispersing multi-walled carbon nanotubes in the baseline carbon/epoxy material. The loads applied to the rudder during flight are obtained by airworthiness standards. Static and dynamic finite element analyses of the rudder under flight loads are carried out to evaluate the structural response at two different temperatures, -40 °C and +30 °C. IM7/8552/MWNT with 1.5 wt% nanofiller is shown to have the best overall performance for the case study considered here, with the potential of outperforming conventional constrained layer patches for buffeting mitigation.</p>