Fluids modeling of fusion plasmas : approximation with C1 finite element of Bell

Fluid instabilities can degrade plasma confinement in tokamaks. Given the spatial and temporal scales, we choose the fluid models obtained from the derivation of kinetic models. We derived several hierarchical models of MagnetoHydroDynamic (MHD) and in particular models of reduced MHD like the Current Hole and the Grad-Shafranov equilibrium. One of the difficulty of all these models is to respect the absence of magnetic monopoles equation. To ensure this condition at any point, the magnetic field is rewritten with a vector potential. The use of vector portential implies that higher order derivatives appear in the equation. The numerical strategy is developed using the finite element method with C1 Bell's elements. On a unstructured mesh, these have the advantage to present a reduced basis with degrees of freedom defined exclusively on the nodes of the mesh. The reduced MHD models of the Current Hole and Grad-Shafranov have thus been resolved with these elements. The resolution of a Grad-Shafranov test case with exact boundary conditions yields the optimal order of 5. The resolution of the Current Hole system with thesse elements has been validated by obtaining physical parameter η1/3 and allowed the observation of the development of sawtooth instabilities.

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Source https://theses.hal.science/tel-00845922
Author Martin, Marie
Maintainer CCSD
Last Updated May 10, 2026, 07:31 (UTC)
Created May 10, 2026, 07:31 (UTC)
Identifier NNT: 2013NICE4031
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire Jean Alexandre Dieudonné (LJAD) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UniCA)
creator Martin, Marie
date 2013-06-04T00:00:00
harvest_object_id 97e5c9c8-3ad4-48e2-96a7-e7cbff0abd36
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-31T00:00:00
set_spec type:THESE