This article is focused on the study of a micro-macro LaTIn based Domain Decomposition Method (LaTIn-DDM) for the prediction of the nonlinear behavior of slender composite structures subjected to bending, buckling and delamination. Previous studies have shown that an adequate selection of the iterative parameters (search directions and macroscopic space) allow to improve the convergence rate and ensure scalability (i.e. number of iterations is independent of the number of subdomains) of the iterative schema. To obtain precise solutions, only the size reduction of the subdomains' discretization has been addressed (h-refinement), disregarding the option of increasing the polynomial degree of the finite elements (p-refinement) and ignoring th...
Towards rationalised computational expense for simulating fracture over multiple scales The project ...
In this contribution we present a domain decomposition framework for the multiscale analysis of soft...
This paper presents a computationally efficient concurrent multiscale platform to undertake the nonl...
This article is focused on the study of a micro-macro LaTIn based Domain Decomposition Method (LaTIn...
The use of multi-scale procedures is encouraged by the continuous increase of computational capacity...
This paper deals with the parallel simulation of delamination problems at the meso-scale by means of...
We propose a three-scale computational strategy for the simulation of laminated composite parts mode...
The presented work, within the framework of the European research project MAAXIMUS (More Affordable ...
Dans un contexte de grande concurrence internationale, la simulation numérique du comportement joue ...
The requirements for advanced numerical computations are very high when studying the multiscale beha...
International audienceThis article is concerned with a multi-scale domain decomposition method (DDM)...
An original mechanical formulation to treat nonlinear orthotropic behavior of composite materials is...
The application behind the subject of this thesis are multiscale simulations on highly heterogeneous...
Modern composite materials and lightweight construction elements are increasingly replacing classic ...
Composite laminates are widely used by the industrialists, as they enable an optimization of the dim...
Towards rationalised computational expense for simulating fracture over multiple scales The project ...
In this contribution we present a domain decomposition framework for the multiscale analysis of soft...
This paper presents a computationally efficient concurrent multiscale platform to undertake the nonl...
This article is focused on the study of a micro-macro LaTIn based Domain Decomposition Method (LaTIn...
The use of multi-scale procedures is encouraged by the continuous increase of computational capacity...
This paper deals with the parallel simulation of delamination problems at the meso-scale by means of...
We propose a three-scale computational strategy for the simulation of laminated composite parts mode...
The presented work, within the framework of the European research project MAAXIMUS (More Affordable ...
Dans un contexte de grande concurrence internationale, la simulation numérique du comportement joue ...
The requirements for advanced numerical computations are very high when studying the multiscale beha...
International audienceThis article is concerned with a multi-scale domain decomposition method (DDM)...
An original mechanical formulation to treat nonlinear orthotropic behavior of composite materials is...
The application behind the subject of this thesis are multiscale simulations on highly heterogeneous...
Modern composite materials and lightweight construction elements are increasingly replacing classic ...
Composite laminates are widely used by the industrialists, as they enable an optimization of the dim...
Towards rationalised computational expense for simulating fracture over multiple scales The project ...
In this contribution we present a domain decomposition framework for the multiscale analysis of soft...
This paper presents a computationally efficient concurrent multiscale platform to undertake the nonl...