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Article Dans Une Revue Computational Mechanics Année : 2020

Multi-field variational formulations and mixed finite element approximations for electrostatics and magnetostatics

Pablo Moreno-Navarro
  • Fonction : Auteur
Adnan Ibrahimbegovic
Alejandro Ospina

Résumé

In this paper we propose different multi-field variational formulations for electrostatics and magnetostatics, which can provide optimal discrete approximation of any particular vector field. The proposed formulations are constructed by appealing to mechanics point of view amenable to using general constitutive equations, which is quite different from electrostatics and magnetostatics formulations typical of physics and electrical engineering focusing on the corresponding global form suitable only for linear case. In particular, the formulations we propose can be combined with mixed discrete approximations that can ensure the continuity of tangential component of electric or magnetic field and normal component of electric displacement and magnetic flux even for low order interpolations. The choice of this kind is quite different from currently favorite choice of high order finite element interpolations used for coupling electromagnetism with mechanics. The discrete approximation is based upon Whitney’s interpolations representing the vector fields in terms of corresponding differential forms, with electric and magnetic fields as one-form and electric displacement and magnetic flux as two-form. The implementation of interpolations of this kind is made for 3D tetrahedron elements with non-standard approximation parameters defined not only at vertices (for zero-form), but at edges (for one-form) and at facets (for two-form). The results of several numerical simulations are presented to illustrate the performance of different formulations proposed herein.
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Dates et versions

hal-02954493 , version 1 (23-01-2024)

Identifiants

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Pablo Moreno-Navarro, Adnan Ibrahimbegovic, Alejandro Ospina. Multi-field variational formulations and mixed finite element approximations for electrostatics and magnetostatics. Computational Mechanics, 2020, 65 (1), pp.41-59. ⟨10.1007/s00466-019-01751-x⟩. ⟨hal-02954493⟩
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