| 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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Wu, Ling
General Electric (Finland)
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (40/40 displayed)
- 2023A micromechanical mean-field homogenization surrogate for the stochastic multiscale analysis of composite materials failurecitations
- 2023Redefinition of the interactions in Deep-Material-Networks
- 2023A micromechanical mean‐field homogenization surrogate for the stochastic multiscale analysis of composite materials failurecitations
- 2023Three-scale bridging for woven composites using homogenization techniquescitations
- 2022Pressure-dependent multiscale stochastic simulations using aMFH model constructed from full-field SVE realizations
- 2022Piecewise-uniform homogenization of heterogeneous composites using a spatial decomposition based on inelastic micromechanicscitations
- 2021Per-phase spatial correlated damage models of UD fibre reinforced composites using mean-field homogenisation; applications to notched laminate failure and yarn failurecitations
- 2021Micro-mechanics and data-driven based reduced order models for multi-scale analyses of woven compositescitations
- 2019Damage to crack transition for ductile materials using a cohesive-band /discontinuous Galerkin framework
- 2019A micro-mechanical model of reinforced polymer failure with length scale effects and predictive capabilities. Validation on carbon fiber reinforced high-crosslinked RTM6 epoxy resincitations
- 2019Bayesian Identification of Mean-Field Homogenization model parameters and uncertain matrix behavior in non-aligned short fiber compositescitations
- 2019Multiscale stochastic simulations using a MFH model constructed from full-field SVE realizations
- 2019An inverse Mean-Field-Homogenization-based micro-mechanical model for stochastic multiscale simulations of unidirectional composites
- 2018A damage to crack transition model accounting for stress triaxiality formulated in a hybrid non-local implicit discontinuous Galerkin - cohesive band model frameworkcitations
- 2018An implicit non-local damage to crack transition framework for ductile materials involving a cohesive band model
- 2018A Damage to Crack Transition Framework for Ductile Materials Accounting for Stress Triaxiality
- 2018A probabilistic Mean-Field-Homogenization approach applied to study unidirectional composite structures
- 2018Evaluation of microdamage initiation in Z-pinned laminates by means of automated RVE computationscitations
- 2017Cohesive Band Model: a triaxiality-dependent cohesive model inside an implicit non-local damage to crack transition framework
- 2017Generation of unidirectional composite stochastic volume elements from micro-structural statistical information
- 2016Cohesive band model: a triaxiality-dependent cohesive model for damage to crack transition in a non-local implicit discontinuous Galerkin framework
- 2016Mean-Field-Homogenization-based stochastic multiscale methods for composite materials
- 2016Simulations of composite laminates inter and intra-laminar failure using on a non-local mean-field damage-enhanced multi-scale method
- 2016Failure multiscale simulations of composite laminates based on a non-local mean-field damage-enhanced homogenization
- 2016Prediction of intra- and inter-laminar failure of laminates using non-local damage-enhanced mean-field homogenization simulations
- 2015A Non-Local Damage-Enhanced Incremental-Secant Mean-Field-Homogenization For Composite Laminate Failure Predictions
- 2015A study of composite laminates failure using an anisotropic gradient-enhanced damage mean-field homogenization modelcitations
- 2015An XFEM/CZM implementation for massively parallel simulations of composites fracturecitations
- 2015An incremental-secant mean-field homogenisation method with second statistical moments for elasto-plastic composite materialscitations
- 2014Muti-scale methods with strain-softening: damage-enhanced MFH for composite materials and computational homogenization for cellular materials with micro-buckling
- 2013Non-local multiscale analyzes of composite laminates based on a damage-enhanced mean–field homogenization formulation
- 2013A micro-model of the intra-laminar fracture in fiber-reinforced composites based on a discontinuous Galerkin/extrinsic cohesive law method
- 2013Modeling of damage to crack transition using a coupled discontinuous Galerkin/cohesive extrinsic law framework
- 2013A micro-meso-model of intra-laminar fracture in fiber-reinforced composites based on a Discontinuous Galerkin/Cohesive Zone Methodcitations
- 2013Non-local Damage-Enhanced MFH for Multiscale Simulations of Compositescitations
- 2012Non-local damage-enhanced MFH for multiscale simulations of composites
- 2012Multiscale Simulations of Composites with Non-Local Damage-Enhanced Mean-Field Homogenization
- 2012A multiscale mean-field homogenization method for fiber-reinforced composites with gradient-enhanced damage modelscitations
- 2011Multi‐scale modelling of fibre reinforced composite with non‐local damage variable
- 2010Evaluation of Tribo-Mechanical Properties of Thin Films Using Atomic Force Microscope
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article
A micromechanical mean‐field homogenization surrogate for the stochastic multiscale analysis of composite materials failure
Abstract
<jats:title>Summary</jats:title><jats:p>This paper presents the construction of a mean‐field homogenization (MFH) surrogate for nonlinear stochastic multiscale analyses of two‐phase composites that allows the material response to be studied up to its failure. The homogenized stochastic behavior of the studied unidirectional composite material is first characterized through full‐field simulations on stochastic volume elements (SVEs) of the material microstructure, permitting to capture the effect of the microstructural geometric uncertainties on the material response. Then, in order to conduct the stochastic nonlinear multiscale simulations, the microscale problem is substituted by a pressure‐dependent MFH reduced order micromechanical model, that is, a MF‐ROM, whose properties are identified by an inverse process from the full‐field SVE realizations. Homogenized stress‐strain curves can be used for the identification process of the nonlinear range, however, a loss of size objectivity is encountered once the strain softening onset is reached. This work addresses this problematic introducing a calibration of the energy release rate obtained with a nonlocal MFH micromechanical model, allowing to scale the variability found on each SVE failure characteristics to the macroscale. The obtained random effective properties are then used as input of a data‐driven stochastic model to generate the complete random fields used to feed the stochastic MF‐ROM. To show the consistency of the methodology, two MF‐ROM constructed from SVEs of two different sizes are successively considered. The performance of the MF‐ROM is then verified against an experimental transverse‐compression test and against full‐field simulations through nonlocal Stochastic Finite Element Method (SFEM) simulations. The implementation of the energy release rate calibration allows to conduct stochastic studies on the failure characteristics of material samples without the need for costly experimental campaigns, paving the way for more complete and affordable virtual testing.</jats:p>