| 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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Mouritz, Adrian P.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (17/17 displayed)
- 2023Bioinspired design optimization for pseudo-ductility in platelet fibre laminatescitations
- 2019Liquid metal synthesis of two-dimensional aluminium oxide platelets to reinforce epoxy compositescitations
- 2018Fracture and fatigue behaviour of epoxy nanocomposites containing 1-D and 2-D nanoscale carbon fillerscitations
- 2018Increasing the fatigue resistance of epoxy nanocomposites by aligning graphene nanoplateletscitations
- 2017Aligning carbon nanofibres in glass-fibre/epoxy composites to improve interlaminar toughness and crack-detection capabilitycitations
- 2017Porous PDMS/CNFS composites for stretchable strain sensors
- 2017Alignment of nano and micron diameter carbon fillers in epoxy via electric field
- 2017Enhancing fatigue resistance and damage characterisation in adhesively-bonded composite joints by carbon nanofibrescitations
- 2017Ductility of platelet composites inspired by nacre design
- 2017Using carbon nanofibre Sensors for in-situ detection and monitoring of disbonds in bonded composite jointscitations
- 2017Novel electrically conductive porous PDMS/carbon nanofiber composites for deformable strain sensors and conductorscitations
- 2016A novel route for tethering graphene with iron oxide and its magnetic field alignment in polymer nanocompositescitations
- 2016Multifunctional properties of epoxy nanocomposites reinforced by aligned nanoscale carboncitations
- 2015Disbond monitoring of adhesive joints reinforced with carbon nanofibres
- 2015Aligning multilayer graphene flakes with an external electric field to improve multifunctional properties of epoxy nanocompositescitations
- 2015Epoxy nanocomposites with aligned carbon nanofillers by external electric fields
- 2015Improving the toughness and electrical conductivity of epoxy nanocomposites by using aligned carbon nanofibrescitations
Places of action
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article
Enhancing fatigue resistance and damage characterisation in adhesively-bonded composite joints by carbon nanofibres
Abstract
<p>In the present work we report on the use of carbon nanofibres (CNFs) to simultaneously improve the cyclic fatigue resistance and the detectability of disbonding in adhesively-bonded structures made of carbon-fibre reinforced-plastic (CFRP) composites. The effects of the concentration of the CNFs (i.e. 0.4, 0.7 and 1.0 wt%) and their orientation (i.e. random versus aligned) in the epoxy-adhesive layer between two CFRP substrates are investigated. The results show that increasing the concentration of randomly-oriented CNFs (a) improves greatly the mode I fatigue resistance of the adhesive layer, including raising the crack growth threshold of the cyclic strain-energy release-rate, and (b) increases the quasi-static fracture toughness. Further improvements in the fatigue resistance occur when the CNFs are aligned perpendicular to the plane of the joint, i.e. normal to the crack plane, as opposed to being randomly-oriented in the adhesive layer. In addition, the CNFs form a conductive network that makes it possible to detect and characterise fatigue-induced disbonding using an electrical-resistance technique. A simple model is developed for the relationship between the disbond (i.e. crack size) and the electrical resistance of a bonded joint with conductive substrates. Finite element analyses are carried out to quantify the applicability of this model as a function of the conductivity of the adhesive from 10<sup>−4</sup> S/m to 1 S/m. The results confirm that the proposed simple model is highly accurate for joints where the composite substrates have a through-thickness electrical conductivity exceeding a hundred times that of the adhesive. This research paves the way for new multi-functional adhesives with greatly enhanced fatigue resistance and disbond detection capability.</p>