TU Darmstadt / ULB / TUbiblio

A Symmetric Low-Frequency Stable Broadband Maxwell Formulation for Industrial Applications

Eller, Martin and Reitzinger, Stefan and Schöps, Sebastian and Zaglmayr, Sabine :
A Symmetric Low-Frequency Stable Broadband Maxwell Formulation for Industrial Applications.
[Online-Edition: https://doi.org/10.1137/16M1077817]
In: SIAM Journal on Scientific Computing, 39 (4) B703-B731. ISSN 1064-8275
[Article] , (2017)

Official URL: https://doi.org/10.1137/16M1077817

Abstract

A new monolithic, symmetric, low-frequency stable, broadband formulation of the time-harmonic Maxwell's equations is presented. The approach is based on a variational formulation of Maxwell's equations which accounts for the frequency dependencies of the underlying physical phenomena and does not require auxiliary variables. The formulation allows for stable evaluation at low frequencies, even if the frequency equals zero. It has a broadband validity and correctly comprises both high-frequency effects and (quasi-)static behaviors. This is demonstrated by using different test examples from scientific to large-scale real-world applications.

Item Type: Article
Erschienen: 2017
Creators: Eller, Martin and Reitzinger, Stefan and Schöps, Sebastian and Zaglmayr, Sabine
Title: A Symmetric Low-Frequency Stable Broadband Maxwell Formulation for Industrial Applications
Language: English
Abstract:

A new monolithic, symmetric, low-frequency stable, broadband formulation of the time-harmonic Maxwell's equations is presented. The approach is based on a variational formulation of Maxwell's equations which accounts for the frequency dependencies of the underlying physical phenomena and does not require auxiliary variables. The formulation allows for stable evaluation at low frequencies, even if the frequency equals zero. It has a broadband validity and correctly comprises both high-frequency effects and (quasi-)static behaviors. This is demonstrated by using different test examples from scientific to large-scale real-world applications.

Journal or Publication Title: SIAM Journal on Scientific Computing
Volume: 39
Number: 4
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute of Electromagnetic Field Theory > Computational Engineering (2019 umbenannt in Computational Electromagnetics)
Exzellenzinitiative > Graduate Schools > Graduate School of Computational Engineering (CE)
18 Department of Electrical Engineering and Information Technology > Institute of Electromagnetic Field Theory
Exzellenzinitiative > Graduate Schools
Exzellenzinitiative
Date Deposited: 23 Sep 2017 16:34
Official URL: https://doi.org/10.1137/16M1077817
Export:

Optionen (nur für Redakteure)

View Item View Item