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Adjoint variable method for transient nonlinear electroquasistatic problems

Ruppert, M. Greta ; Späck-Leigsnering, Yvonne ; Buschbaum, Julian ; De Gersem, Herbert (2025)
Adjoint variable method for transient nonlinear electroquasistatic problems.
In: Electrical Engineering : Archiv für Elektrotechnik, 2023, 105 (4)
doi: 10.26083/tuprints-00028414
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Item Type: Article
Type of entry: Secondary publication
Title: Adjoint variable method for transient nonlinear electroquasistatic problems
Language: English
Date: 17 January 2025
Place of Publication: Darmstadt
Year of primary publication: August 2023
Place of primary publication: Berlin ; Heidelberg
Publisher: Springer
Journal or Publication Title: Electrical Engineering : Archiv für Elektrotechnik
Volume of the journal: 105
Issue Number: 4
DOI: 10.26083/tuprints-00028414
Corresponding Links:
Origin: Secondary publication DeepGreen
Abstract:

Many optimization problems in electrical engineering consider a large number of design parameters. A sensitivity analysis identifies the design parameters with the strongest influence on the problem of interest. This paper introduces the adjoint variable method as an efficient approach to study sensitivities of nonlinear electroquasistatic problems in time domain. In contrast to the more common direct sensitivity method, the adjoint variable method has a computational cost nearly independent of the number of parameters. The method is applied to study the sensitivity of the field grading material parameters on the performance of a 320 kV cable joint specimen, which is modeled as a finite element nonlinear transient electroquasistatic problem. Special attention is paid to the treatment of quantities of interest, which are evaluated at specific points in time or space. It is shown that the method is a valuable tool to study this strongly nonlinear and highly transient technical example.

Uncontrolled Keywords: Adjoint variable method, Nonlinear electroquasistatic problem, Sensitivity analysis, Time domain
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-284143
Classification DDC: 600 Technology, medicine, applied sciences > 621.3 Electrical engineering, electronics
Divisions: 18 Department of Electrical Engineering and Information Technology > Institute for Accelerator Science and Electromagnetic Fields > Electromagnetic Field Theory (until 31.12.2018 Computational Electromagnetics Laboratory)
Exzellenzinitiative > Graduate Schools > Graduate School of Computational Engineering (CE)
Date Deposited: 17 Jan 2025 10:33
Last Modified: 17 Jan 2025 10:34
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/28414
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