Integral equation methods are widely used in electromagnetism modeling because, in opposition to finite element methods, they do not require the meshing of non-active materials like air. Therefore they lead to formulations with small degrees of freedom. However, they also lead to fully dense systems of equations. Computation times are expensive and the storage of the matrix is very expensive. This work presents different parallel computation strategies in order to speed up the computation time, in particular the use of graphical processing units (GPGPU) is focused. The next point is to reduce the memory requirements thanks to wavelets compression (it is an algorithm similar to image compression). The compression technique introduces errors,...
Engineering simulation provides the best design products by allowing many design options to be quick...
During the continuous casting of steel, several disturbances occur and affect all the parts of the c...
The aim of this study is to improve the performances, in terms of memory space and computational tim...
Les méthodes intégrales sont des méthodes particulièrement bien adaptées à la modélisation des systè...
This PhD report deals with modeling formalisms for multi-physical systems in the design V- cycle. Th...
This thesis deals with the improvement of the inductive PEEC method (for modelling electrical interc...
Electric machines are modeled in order to predict their performance and to optimize their output. Th...
The PEEC method is known as a good method for modeling electrical connections in the domains of powe...
Periodic media play a major role in many applications, in particular in optics formicro and nanotech...
In a first part, we consider Cauchy problems for first-order hyperbolic equations and systems. A rep...
In recent years, the development of energy storage systems for electric mobility with greater autono...
This work is concerned with the development of a flexible and efficient arbitrary high-order Discont...
While high order methods allow to perform very accurate simulations with low costs, there is a lack ...
In collaboration with Eurocopter, we have developed a reduction model strategy to the simulation of ...
In order to overcome the limitations related to the finite element method’s (FEM) narrow dependency ...
Engineering simulation provides the best design products by allowing many design options to be quick...
During the continuous casting of steel, several disturbances occur and affect all the parts of the c...
The aim of this study is to improve the performances, in terms of memory space and computational tim...
Les méthodes intégrales sont des méthodes particulièrement bien adaptées à la modélisation des systè...
This PhD report deals with modeling formalisms for multi-physical systems in the design V- cycle. Th...
This thesis deals with the improvement of the inductive PEEC method (for modelling electrical interc...
Electric machines are modeled in order to predict their performance and to optimize their output. Th...
The PEEC method is known as a good method for modeling electrical connections in the domains of powe...
Periodic media play a major role in many applications, in particular in optics formicro and nanotech...
In a first part, we consider Cauchy problems for first-order hyperbolic equations and systems. A rep...
In recent years, the development of energy storage systems for electric mobility with greater autono...
This work is concerned with the development of a flexible and efficient arbitrary high-order Discont...
While high order methods allow to perform very accurate simulations with low costs, there is a lack ...
In collaboration with Eurocopter, we have developed a reduction model strategy to the simulation of ...
In order to overcome the limitations related to the finite element method’s (FEM) narrow dependency ...
Engineering simulation provides the best design products by allowing many design options to be quick...
During the continuous casting of steel, several disturbances occur and affect all the parts of the c...
The aim of this study is to improve the performances, in terms of memory space and computational tim...