| 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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Praud, Francis
Laboratory of Microstructure Studies and Mechanics of Materials
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (13/13 displayed)
- 2024Multiscale Thermodynamics-Informed Neural Networks (MuTINN) towards fast and frugal inelastic computation of woven composite structurescitations
- 2024Multiscale Thermodynamics-Informed Neural Networks (MuTINN) towards fast and frugal inelastic computation of woven composite structurescitations
- 2024Microstructure generation and full-field multi-scale analyses for short fiber reinforced thermoplastics: Application to PA66GF compositescitations
- 2023Non-intrusive PGD towards real-time multiparametric simulation of nonlinear response for woven composite involving microstructural parameters ; PGD non-intrusive pour la simulation multiparamétrique en temps réel du comportement non-linéaire des composites à renforts tissés intégrant les paramètres microstructuraux ; PGD non-intrusive pour la simulation multiparamétrique en temps réel du comportement non-linéaire des composites à renforts tissés intégrant les paramètres microstructuraux: Non-intrusive PGD towards real-time multiparametric simulation of nonlinear response for woven composite involving microstructural parameters
- 2023Thermally-activated hardening recovery in viscoplastic materials with kinematic hardening at high temperaturescitations
- 2022Multiparametric modelling of composite materials based on non-intrusive PGD informed by multiscale analyses: Application for real-time stiffness prediction of woven compositescitations
- 2022Multiparametric modelling of composite materials based on non-intrusive PGD informed by multiscale analyses: Application for real-time stiffness prediction of woven compositescitations
- 2021Fully integrated multi-scale modelling of damage and time-dependency in thermoplastic-based woven compositescitations
- 2020Fully integrated multi-scale modelling of damage and time-dependency in thermoplastic-based woven compositescitations
- 2019Thermally-activated hardening recovery of thermo-elasto-plastic metals during annealing: constitutive modeling for the simulation of welding processcitations
- 2018Three-dimensional FE2 method for the simulation of non-linear, rate-dependent response of composite structurescitations
- 2017Hybrid micromechanical-phenomenological modelling of anisotropic damage and anelasticity induced by micro-cracks in unidirectional compositescitations
- 2016Micromechanical modelling of viscoelastic-viscoplastic-damage behaviour for polyamide woven fabric composites under cyclic loading.
Places of action
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article
Fully integrated multi-scale modelling of damage and time-dependency in thermoplastic-based woven composites
Abstract
<jats:p> In this work, a multi-scale model established from the concept of periodic homogenization is utilized to predict the cyclic and time-dependent response of thermoplastic-based woven composites. The macroscopic behaviour of the composite is determined from finite element simulations of the representative unit cell of the periodic microstructure, where the local non-linear constitutive laws of the components are directly integrated, namely, the matrix and the yarns. The thermoplastic matrix is described by a phenomenological multi-mechanisms constitutive model accounting for viscoelasticity, viscoplasticity and ductile damage. For the yarns, a hybrid micromechanical–phenomenological constitutive model accounting for anisotropic damage and anelasticity induced by the presence of a diffuse micro-crack network is utilized. The capabilities of the overall multi-scale model are validated by comparing the numerical predictions with experimental data. Further illustrative examples are also provided, where the composite undergoes time-dependent deformations under uni-axial and non-proportional multi-axial loading paths. The multi-scale model is also employed to analyze the influence of the local deformation processes on the macroscopic response of the composite. </jats:p>