| 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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Soyarslan, Celal
University of Twente
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (22/22 displayed)
- 2024Additive manufacturing of NiTi architected metamaterialscitations
- 2023Functional performance of NiTi shape memory architected structures produced by laser powder bed fusion (LPBF)
- 2023Asymptotic homogenization in the determination of effective intrinsic magnetic properties of compositescitations
- 2022Asymptotic Homogenization in the Determination of Effective Intrinsic Magnetic Properties of Composites
- 2022Periodic Homogenization in Crystal Plasticity
- 20183D stochastic bicontinuous microstructures: generation, topology and elasticitycitations
- 2018A class of rate-independent lower-order gradient plasticity theoriescitations
- 2017Size affected dislocation activity in crystals : advanced surface and grain boundary conditions
- 2017Implementation and application of a gradient enhanced crystal plasticity modelcitations
- 2017Effect of surface elasticity on the elastic response of nanoporous gold
- 2016Structure-property relationships in nanoporous metallic glassescitations
- 2015Modeling of fracture in small punch tests for small- and large-scale yielding conditions at various temperatures
- 2015Elastic and plastic poisson’s ratios of nanoporous gold
- 2015Materials based design of structures: computational modeling of the mechanical behavior of gold-polymer nanocomposites
- 2014Finite element methodcitations
- 2014Formability assessment of advanced high strength steel sheets using (an)isotropic Lemaitre’s damage model
- 2014Inherent and induced anisotropic finite visco-plasticity with applications to the forming of DC06 sheetscitations
- 2014On the distortion of yield surface under complex loading paths in sheet metal forming
- 2013Anwendung der expliziten FEM in der Umformtechnik
- 2013Inverse identification of CDM model parameters for DP1000 steel sheets using a hybrid experimental-numerical methodology spanning various stress triaxiality ratioscitations
- 2011Analysis of formability of advanced high strength steel sheets with phenomenologically based failure criteria with separate treatment of instability, shear and normal fracture
- 2008Application of continuum damage mechanics in discontinuous crack formationcitations
Places of action
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article
Materials based design of structures: computational modeling of the mechanical behavior of gold-polymer nanocomposites
Abstract
This is an open access article under the CCBY-NC-ND license. The impact of small scale geometric confinement on deformation mechanisms is subject of intense research in materials sciences nowadays. Nanoporous metals have a microstructure with an extremely high volume-specific surface content. Due to a very high local strength and a relatively regular interconnection of the nanoconstituents as well as a low mass density, nanoporous metals are very good candidates for strong and light-weight structural materials. The modeling of a modern nanocomposite material of gold-polymer is in the focus of the contribution. A gradient extended crystal plasticity theory is applied to the computation of the mechanical response of the metal part of the composite and an elastic-viscoplastic continuum model is used for the simulation of the polymer material. The gradient hardening contribution is included into the crystal plasticity model in order to study the influence of the ligament size. Numerical results of the deformation of the gold-polymer nanocomposite under compression are presented. Simulation results are compared to the corresponding experimental data.