This paper deals with homogenization of non linear fiber-reinforced composites in the coupled thermo-mechanical field. For this kind of structures, i.e. inclusions randomly dispersed in a matrix, the generalized self consistent (GSC) methods are particularly suitable to describe the problem. This paper presents a numerical development of this kind of approach
In this paper we present a combined finite element (FE) \u2013 artificial neural network (ANN) appro...
The Fourier–Green homogenization method for estimating the behavior of composites was first develope...
Computational homogenization methods allow circumventing issues associated to analytical or semi-ana...
This paper deals with homogenization of non linear fiber-reinforced composites in the coupled thermo...
This paper deals with homogenization of non linear fibre-reinforced composites in the coupled thermo...
This paper presents a numerical development of the usual generalized self-consistent method (GSCM) f...
This paper presents a development of the usual generalized self-consistent method for homogenization...
This paper presents a development of the usual generalized self-consistent method for homogenisation...
This paper presents a development of the usual generalized self-consistent method for homogenization...
This paper deals with homogenization of heterogeneous, fibre-reinforced material. One of the main po...
International audienceIn this work, a decoupled computational homogenization method for nonlinear el...
This paper presents a development of the usual generalized self-consistent (GSC) method for homogeni...
In this paper we describe how an Artificial Neural Network (ANN) can be used to approximate and memo...
In this paper we present a combined finite element (FE) - artificial neural network (ANN) approach f...
This paper presents a development of the usual generalized self-consistent method for homogenisation...
In this paper we present a combined finite element (FE) \u2013 artificial neural network (ANN) appro...
The Fourier–Green homogenization method for estimating the behavior of composites was first develope...
Computational homogenization methods allow circumventing issues associated to analytical or semi-ana...
This paper deals with homogenization of non linear fiber-reinforced composites in the coupled thermo...
This paper deals with homogenization of non linear fibre-reinforced composites in the coupled thermo...
This paper presents a numerical development of the usual generalized self-consistent method (GSCM) f...
This paper presents a development of the usual generalized self-consistent method for homogenization...
This paper presents a development of the usual generalized self-consistent method for homogenisation...
This paper presents a development of the usual generalized self-consistent method for homogenization...
This paper deals with homogenization of heterogeneous, fibre-reinforced material. One of the main po...
International audienceIn this work, a decoupled computational homogenization method for nonlinear el...
This paper presents a development of the usual generalized self-consistent (GSC) method for homogeni...
In this paper we describe how an Artificial Neural Network (ANN) can be used to approximate and memo...
In this paper we present a combined finite element (FE) - artificial neural network (ANN) approach f...
This paper presents a development of the usual generalized self-consistent method for homogenisation...
In this paper we present a combined finite element (FE) \u2013 artificial neural network (ANN) appro...
The Fourier–Green homogenization method for estimating the behavior of composites was first develope...
Computational homogenization methods allow circumventing issues associated to analytical or semi-ana...