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<dc:title xml:lang="en">Control and optimization of high magnetic fields</dc:title>
<dcterms:alternative xml:lang="fr">Contrôle et optimisation de champs magnétiques intenses</dcterms:alternative>
<dc:subject xml:lang="fr">Réduction d'ordre de modèle</dc:subject>
<dc:subject xml:lang="fr">Aimants à haut champs</dc:subject>
<dc:subject xml:lang="fr">Méthode des bases réduites</dc:subject>
<dc:subject xml:lang="fr">Méthode d'interpolation empirique</dc:subject>
<dc:subject xml:lang="fr">Méthode éléments finis</dc:subject>
<dc:subject xml:lang="fr">Galerkin Discontinu hybrid</dc:subject>
<dc:subject xml:lang="fr">Calcul Haute Performance</dc:subject>
<dc:subject xml:lang="fr">Feel++</dc:subject>
<dc:subject xml:lang="en">Model order reduction</dc:subject>
<dc:subject xml:lang="en">High field magnets</dc:subject>
<dc:subject xml:lang="en">Reduced basis method</dc:subject>
<dc:subject xml:lang="en">Empirical interpolation method</dc:subject>
<dc:subject xml:lang="en">Finite elements method</dc:subject>
<dc:subject xml:lang="en">Hybrid Discontinuous Galerkin</dc:subject>
<dc:subject xml:lang="en">High Performance Computing</dc:subject>
<dc:subject xml:lang="en">Feel ++</dc:subject>
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<tef:elementdEntree autoriteExterne="234769122" autoriteSource="Sudoc">Méthodes de Galerkine discontinues</tef:elementdEntree>
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<dcterms:abstract xml:lang="fr">Nous présentons dans cette thèse notre travail sur le contrôle et l’optimisation d’aimants à hautschamps. Les physiques impliquées sont présentées et leur discrétisation est détaillée. Elles consistenten un problème thermoelectrique non linéaire, un problème magnétostatique et un problèmed’élasticité linéaire. La méthode de Galerkin Discontinu Hybrid (HDG) est utilisée pour approcherau mieux les champs d’intérêt, tels que la densité de courant, le champ magnétique ou le tenseur descontraintes. Nous avons développé et implémenté les Conditions Intégrales aux Bords (IBC) pourpouvoir imposer l’intensité de courant directement au lieu d’utiliser la différence de potentiel. Pourrésoudre notre problème en temps réel, nous avons utilisé la méthode des Bases Réduites (RB),combinée avec la Méthode d’Interpolation Empirique (EIM), sa version discrète, la méthodeSimultanée EIM et RB (SER) et la Méthode de Quadrature Empirique (EQM). Finalement, nousavons appliqué ces méthodes à deux applications d’intérêt pour le LNCMI, l’identification desparamètres de refroidissement basé sur des données expérimentales, et l’optimisation des découpesde l’aimant pour améliorer son homogénéité.</dcterms:abstract>
<dcterms:abstract xml:lang="en">SWe present in this thesis our work on the control and optimization of high field magnets.The physics involved in the operation of the magnet are presented, and their discretizationis detailed. It con- sists of a non-linear thermoelectric problem, a magnetostatic problemand a linear elasticity problem. The Hybrid Discontinuous Galerkin (HDG) method is used inorder to better approximate the fields of interests, such as the current density, the magneticfield or the stress. We developed and implemented the Integral Boundary Condition (IBC) tobe able to impose the current intensity directly instead of using the difference of potential.To solve our problem in real time, we used the Reduce Basis method (RB), combined withthe Empirical Interpolation Method (EIM), its discrete version, the Simultaneous EIM andRB method and the Empirical Quadrature Method (EQM). Finally, we applied our methodsto two applications of interest for the LNCMI, the identification of cooling parameters basedon experimental data, and the optimization of the cuttings of the magnets to improve itshomogeneity.</dcterms:abstract>
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