Please use this identifier to cite or link to this item:
Title: A spectral element method for the solution of magnetostatic fields
Authors: Mahariq, İbrahim
Erciyas, Atakan
Keywords: Computational electromagnetics
finite element method
spectral element method
Issue Date: 2017
Publisher: Tubitak Scientific & Technical Research Council Turkey
Abstract: Recently, we have seen good progress in our capability to simulate complex electromagnetic systems. However, still there exist many challenges that have to be tackled in order to push limits restricting the field of computational electromagnetics upward. One of these challenges is the limitations in the available computational resources. Over several decades, the traditional computational methods, such as finite difference, finite element, and finite volume methods, have been extensively applied in the field of electromagnetics. On the other hand, the spectral element method (SEM) has been recently utilized in some branches of electromagnetics as waveguides and photonic structures for the sake of accuracy. In this paper, the numerical approximation to the set of the partial differential equations governing a typical magnetostatic problem is presented by using SEM for the first time to the best of our knowledge. Legendre polynomials and Gauss Legendre Lobatto grids are employed in the current study as test functions and meshing of the elements, respectively. We also simulate a magnetostatic problem in order to verify the SEM formulation adapted in the current study.
ISSN: 1300-0632
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
TR Dizin İndeksli Yayınlar / TR Dizin Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record

CORE Recommender


checked on Sep 23, 2022


checked on Sep 24, 2022

Page view(s)

checked on Dec 26, 2022

Google ScholarTM



Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.