We extend the FE-DMN method to fully coupled thermomechanical two-scale simulations of composite materials. In particular, every Gauss point of the macroscopic finite element model is equipped with a deep material network (DMN). Such a DMN serves as a high-fidelity surrogate model for full-field solutions on the microscopic scale of inelastic, non-isothermal constituents. Building on the homogenization framework of Chatzigeorgiou et al. (Int J Plast 81:18–39, 2016), we extend the framework of DMNs to thermomechanical composites by incorporating the two-way thermomechanical coupling, i.e., the coupling from the macroscopic onto the microscopic scale and vice versa, into the framework. We provide details on the efficient implementation of our...
In this communication, a multi-task deep learning-driven homogenization scheme is proposed for predi...
This thesis focuses on a method for the coupled homogenization of heterogeneous composite materials ...
The modern technological challenges on the engineering industry and the extensive advances in the ma...
In this work, we propose a fully coupled multiscale strategy for components made from short fiber re...
Deep material networks (DMN) are a promising piece of technology for accelerating concurrent multisc...
Modern material systems with properly designed microstructures offer new avenues for engineering mat...
A multi-scale FE2 approach based on the periodic homogenization theory is developed to predict the o...
Le présent article propose une approche multi-échelles par éléments finis (FE2). Elle est basée sur ...
Deep material networks (DMNs) are a recent multiscale technology which enable running concurrent mul...
The current work deals with periodic composite media undergoing fully coupled thermomechanical loadi...
International audienceThe current paper presents a two scale Finite Element approach (FE2), adopting...
Modelling natural composites, as the majority of real geomaterials, requires facing their intrinsic...
The current paper presents a two scale Finite Element approach (FE 2 ), adopting the periodic homoge...
The present work proposes a new approach for conducting thermo-elastic micromechanical analysis. It ...
A new micromechanical theory is presented for the response of heterogeneous metal matrix composites ...
In this communication, a multi-task deep learning-driven homogenization scheme is proposed for predi...
This thesis focuses on a method for the coupled homogenization of heterogeneous composite materials ...
The modern technological challenges on the engineering industry and the extensive advances in the ma...
In this work, we propose a fully coupled multiscale strategy for components made from short fiber re...
Deep material networks (DMN) are a promising piece of technology for accelerating concurrent multisc...
Modern material systems with properly designed microstructures offer new avenues for engineering mat...
A multi-scale FE2 approach based on the periodic homogenization theory is developed to predict the o...
Le présent article propose une approche multi-échelles par éléments finis (FE2). Elle est basée sur ...
Deep material networks (DMNs) are a recent multiscale technology which enable running concurrent mul...
The current work deals with periodic composite media undergoing fully coupled thermomechanical loadi...
International audienceThe current paper presents a two scale Finite Element approach (FE2), adopting...
Modelling natural composites, as the majority of real geomaterials, requires facing their intrinsic...
The current paper presents a two scale Finite Element approach (FE 2 ), adopting the periodic homoge...
The present work proposes a new approach for conducting thermo-elastic micromechanical analysis. It ...
A new micromechanical theory is presented for the response of heterogeneous metal matrix composites ...
In this communication, a multi-task deep learning-driven homogenization scheme is proposed for predi...
This thesis focuses on a method for the coupled homogenization of heterogeneous composite materials ...
The modern technological challenges on the engineering industry and the extensive advances in the ma...