In this paper a new mixed nodal-mesh formulation of the PEEC method is proposed. Based on the hypothesis that charges reside only on the surface of conductors and that current density is solenoidal inside them, a novel scheme is developed fully exploiting the physical properties of charges and currents. It comes out that the presented approach allows to reduce the number of unknowns while preserving the accuracy. An elegant and efficient algorithm, based on graph theory, is proposed to automatically search independent loops on three dimensional rectangular grids such as those arising in volumetric PEEC formulation. The method is validated through numerical results that confirm the accuracy of the proposed formulation from DC-to-daylight and its capability to provide memory saving.

A mixed nodal-mesh formulation of the PEEC method based on efficient graph algorithms

ANTONINI, GIULIO;FRIGIONI, DANIELE;
2008-01-01

Abstract

In this paper a new mixed nodal-mesh formulation of the PEEC method is proposed. Based on the hypothesis that charges reside only on the surface of conductors and that current density is solenoidal inside them, a novel scheme is developed fully exploiting the physical properties of charges and currents. It comes out that the presented approach allows to reduce the number of unknowns while preserving the accuracy. An elegant and efficient algorithm, based on graph theory, is proposed to automatically search independent loops on three dimensional rectangular grids such as those arising in volumetric PEEC formulation. The method is validated through numerical results that confirm the accuracy of the proposed formulation from DC-to-daylight and its capability to provide memory saving.
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/39418
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 0
social impact