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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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Lund, Erik
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (22/22 displayed)
- 2023Multi-material and thickness optimization of laminated composite structures subject to high-cycle fatiguecitations
- 2023A matter of coursecitations
- 2023A matter of course:Generating optimal manufacturing instructions from a structural layup plan of a wind turbine bladecitations
- 2022Discrete Material and Thickness Optimization of laminated composites using aggregated high-cycle fatigue constraints
- 2021A simple MATLAB draping code for fiber-reinforced composites with application to optimization of manufacturing process parameterscitations
- 2019Discrete Material and Thickness Optimization of sandwich structurescitations
- 2017A benchmark study of simulation methods for high-cycle fatigue-driven delamination based on cohesive zone modelscitations
- 2016Post-buckling optimization of composite structures using Koiter's methodcitations
- 2015Simulation Methods for High-Cycle Fatigue-Driven Delamination using Cohesive Zone Models - Fundamental Behavior and Benchmark Studies
- 2014Development of a High-fidelity Experimental Substructure Test Rig for Grid-scored Sandwich Panels in Wind Turbine Bladescitations
- 2014High-fidelity multiaxial testing of composite substructures
- 2013Interlaminar/interfiber Failure of Unidirectional GFRP used for Wind Turbine Blades
- 2013Asymptotic Sampling for reliability analysis of adhesive bonded stepped lap composite jointscitations
- 2012Fatigue Failure of Sandwich Beams with Wrinkle Defects Used for Wind Turbine Blades
- 2012Investigation of failure mechanisms in GFRP sandwich structures with face sheet wrinkle defects used for wind turbine bladescitations
- 2012Interlaminar/interfiber failure of unidirectional GFRP used for wind turbine blades
- 2012Thickness optimization of laminated composites using the discrete material optimization method
- 2012Assessment of Interlaminar/Interfiber Failure of UD GRFP for Wind Turbine Blades
- 2012Reliability analysis of adhesive bonded scarf jointscitations
- 2012Reliability Analysis of Adhesive Bonded Scarf Jointscitations
- 2011Optimization strategies for discrete multi-material stiffness optimizationcitations
- 2004Large Scale FEM of the effective elastic properties of particle reinforced composites
Places of action
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document
Large Scale FEM of the effective elastic properties of particle reinforced composites
Abstract
Over the years several methods have been proposed for the determination of the effective elastic properties of particle reinforced composites. The material microstructures used in the present analysis is a real microstructure and a numerically generated microstructure. X-ray microtomography is used to determine the material microstructure and with this method the interior microstructure is determined in a non-destructive way. Using the commercially available equipment, SkyScan 1072, the maximum resolution is approximately 5 microns. The data obtained from the tomographic examination is used to generate three-dimensional finite element models of the microstructure. The models contain a large number of elements, up to 1 million, and are solved iteratively using an element-by-element formalism. Models containing 100 particles have been statistically generated and the material properties of each particle is assigned using a Gaussian distribution of the properties. Various distributions have been used to determine how the variation of particle properties influences the effective elastic properties. From this examination it was found that the larger the variation of the particle properties is the softer the composite material gets.