The Virtual Element Method (VEM) is a recent and successful method for the numerical solution of partial differential equations. The methodological background of the VEM is presented and its application in magnetic field analysis is shown; accordingly, the numerical solution of non-linear magnetostatic problems is worked out in two-dimensional domains. In this paper, we are interested in the analysis and synthesis of an internal permanent magnet motor. In this framework, the VEM is particularly suitable thanks to its flexibility in handling generally shaped polygons, specifically the possibility of treating in a smart way both hanging nodes and mesh gluing.

Dassi, F., Di Barba, P., Russo, A. (2025). Meshing Strategies for Shape Optimization in Electromechanics based on the Virtual Element Method. IEEE TRANSACTIONS ON MAGNETICS [10.1109/TMAG.2025.3627656].

Meshing Strategies for Shape Optimization in Electromechanics based on the Virtual Element Method

Dassi, F;Russo, A
2025

Abstract

The Virtual Element Method (VEM) is a recent and successful method for the numerical solution of partial differential equations. The methodological background of the VEM is presented and its application in magnetic field analysis is shown; accordingly, the numerical solution of non-linear magnetostatic problems is worked out in two-dimensional domains. In this paper, we are interested in the analysis and synthesis of an internal permanent magnet motor. In this framework, the VEM is particularly suitable thanks to its flexibility in handling generally shaped polygons, specifically the possibility of treating in a smart way both hanging nodes and mesh gluing.
Articolo in rivista - Articolo scientifico
Finite element method; magnetostatics; polygonal meshes; virtual element method;
English
31-ott-2025
2025
none
Dassi, F., Di Barba, P., Russo, A. (2025). Meshing Strategies for Shape Optimization in Electromechanics based on the Virtual Element Method. IEEE TRANSACTIONS ON MAGNETICS [10.1109/TMAG.2025.3627656].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/574062
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