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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
On the delamination self-sensing function of Z-pinned composite laminates
Abstract
This paper investigates for the first time the usage of through-thickness reinforcement for delamination detection in self-sensing composite laminates. Electrically conductive T300/BMI Z-pins are considered in this study. The through-thickness electrical resistance is measured as the delamination self-sensing variable, both for conductive and non-conductive laminates. The Z-pin ends are connected to a resistance measurement circuit via electrodes arranged on the surface of the laminate. The delamination self-sensing function enabled by conductive Z-pins is characterised for Mode I/II delamination bridging, using single Z-pin coupons. Experiment results show that, if the through-thickness reinforced laminate is electrically conductive, the whole Z-pin pull-out process associated with delamination bridging can be monitored. However, for a non-conductive laminate, delamination bridging may not be sensed after the Z-pin is pulled out from one of the surface electrodes. Regardless of the electrical properties of the reinforced laminate, the through-thickness electrical resistance is capable of detecting Mode II bridging, albeit there exists an initial “blind spot” at relatively small lateral deformation. However, the Z-pin rupture can be clearly detected as an abrupt resistance increase. This study paves the way for exploring multi-functional applications of through-thickness reinforcement.