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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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Zhang, Bing
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (18/18 displayed)
- 2023Fatigue Delaminations in Composites for Wind Turbine Blades with Artificial Wrinkle Defectscitations
- 2023Fatigue Delaminations in Composites for Wind Turbine Blades with Artificial Wrinkle Defectscitations
- 2022Embedding artificial neural networks into twin cohesive zone models for composites fatigue delamination prediction under various stress ratios and mode mixitiescitations
- 2022How reproducible are surface areas calculated from the BET equation?citations
- 2022How reproducible are surface areas calculated from the BET equation?citations
- 2022How Reproducible are Surface Areas Calculated from the BET Equation?citations
- 2022How Reproducible are Surface Areas Calculated from the BET Equation?citations
- 2022How Reproducible are Surface Areas Calculated from the BET Equation?citations
- 2022Sensing delamination in composites reinforced by ferromagnetic Z-pins via electromagnetic inductioncitations
- 2021A printability assessment framework for fabricating low variability nickel-niobium parts using laser powder bed fusion additive manufacturingcitations
- 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
- 2021How Reproducible Are Surface Areas Calculated from the BET Equation?citations
- 2021Effect of saw-tooth ply drops on the mechanical performance of tapered composite laminatescitations
- 2020Composites fatigue delamination prediction using double load envelopes and twin cohesive modelscitations
- 2020An experimental and numerical investigation into damage mechanisms in tapered laminates under tensile loadingcitations
- 2019Assessing Printability Maps in Additive Manufacturing of Metal Alloyscitations
- 2017An integrated numerical model for investigating guided waves in impact-damaged composite laminatescitations
Places of action
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article
Embedding artificial neural networks into twin cohesive zone models for composites fatigue delamination prediction under various stress ratios and mode mixities
Abstract
This paper presents for the first time a novel numerical technique for modelling fatigue delamination growth in fibre reinforced composites, which is based on coupling two twin cohesive zone models with a single-hidden-layer artificial neural network. The simulation approach proposed here can describe composites fatigue delamination under negative & positive stress ratios and the full range of mode mixities. In the modelling strategy, each segment of a composites interface is described by two twin cohesive elements, which jointly provide local fracture mechanics parameters into a feedforward single-hidden-layer neural network, without the need to know the global load R ratio. In turn, the neural network algorithm feeds the fatigue crack propagation rate back into the twin cohesive elements, which follow a static and fatigue cohesive law in a synchronous fashion. The novel modelling methodology has been implemented in an explicit finite element scheme. The modelling strategy is first verified and validated by several benchmark cases, involving mode I Double Cantilever Beam tests, mode II End Loaded Split tests with and without reversal, as well as Mixed-Mode Bending tests. A relevant application of the modelling technique is demonstrated considering a tapered laminate, which experiences non-proportional loading due to the presence of combined static tension and cyclic bending.