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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
Fatigue Delaminations in Composites for Wind Turbine Blades with Artificial Wrinkle Defects
Abstract
Out-of-plane wrinkles are manufacturing defects that affect the structural performance of wind turbine blades under fatigue. Glass Fiber Reinforced Polymer (GFRP) laminated specimens embedded with artificial wrinkle defects at two severity ratios (amplitude/half-wavelength) show different resistance to cyclic loading when tested under tension-compression fatigue. This work presents the validation of a fatigue formulation for the prediction of fatigue damage from wrinkles characteristic of wind turbine blades. The validation is performed through numerical models combined with experimental tests in which the fracture framework aims at predicting crack initiation and delamination propagation. The experimental fatigue program loaded the specimens with R = −1 to assess damage growth. The fatigue damage mechanism is quantified as a stiffness degradation, and the damage level is classified into five phases. Comparing the two severity types of wrinkles, the fatigue lifetime for equal external loading differs by approximately two decades. This difference is also captured by the numerical predictions. The lower the aspect ratio (AR), the higher the defect resistance to reversed fatigue loading. The numerical models captured the qualitative behavior of the SN curves and delamination fracture path and location observed in the experiments.