Herter, Christine ; Schöps, Sebastian ; Wollner, Winnifried (2023)
Eigenvalue Optimization with respect to Shape‐Variations in Electromagnetic Cavities.
In: PAMM - Proceedings in Applied Mathematics & Mechanics, 2022, 22 (1)
doi: 10.26083/tuprints-00023725
Article, Secondary publication, Publisher's Version
Text
PAMM_PAMM202200122.pdf Copyright Information: CC BY-NC-ND 4.0 International - Creative Commons, Attribution NonCommercial, NoDerivs. Download (603kB) |
Item Type: | Article |
---|---|
Type of entry: | Secondary publication |
Title: | Eigenvalue Optimization with respect to Shape‐Variations in Electromagnetic Cavities |
Language: | English |
Date: | 28 April 2023 |
Place of Publication: | Darmstadt |
Year of primary publication: | 2022 |
Publisher: | Wiley-VCH |
Journal or Publication Title: | PAMM - Proceedings in Applied Mathematics & Mechanics |
Volume of the journal: | 22 |
Issue Number: | 1 |
Collation: | 6 Seiten |
DOI: | 10.26083/tuprints-00023725 |
Corresponding Links: | |
Origin: | Secondary publication DeepGreen |
Abstract: | The article considers the optimization of eigenvalues in electromagnetic cavities by means of shape variations. The field distribution and its frequency in a radio‐frequency cavity are governed by Maxwell's eigenvalue problem. To this end, we utilize a mixed formulation by Kikuchi (1987) and a mixed finite element discretization by means of Nédélec and Lagrange elements. The shape optimization is based on the method of mappings, where a Piola transformation is utilized to assert conformity of the mapped spaces. We derive the derivatives by the use of adjoint calculus for the constraining Maxwell eigenvalue problem. In two numerical examples, we demonstrate the functionality of this method. |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-237254 |
Classification DDC: | 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering |
Divisions: | 18 Department of Electrical Engineering and Information Technology > Institute for Accelerator Science and Electromagnetic Fields > Computational Electromagnetics |
Date Deposited: | 28 Apr 2023 13:11 |
Last Modified: | 14 Nov 2023 19:05 |
SWORD Depositor: | Deep Green |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/23725 |
PPN: | 509751679 |
Export: |
View Item |