Galetzka, Armin (2024)
Data-Driven Model-Free Electromagnetic Simulation.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00027532
Dissertation, Erstveröffentlichung, Verlagsversion
Kurzbeschreibung (Abstract)
This work addresses the simulation of magnetostatic field problems using measured material data exclusively, rather than using material models constructed from the data. The work introduces a data-driven computing framework for field problems and adapts its formulation to the case of magnetostatics. The data-driven field problem is developed in continuous form utilizing the Euler-Lagrange equations and subsequently solved with the finite element method. A hybrid solver is introduced to handle magnetostatic problems that involve domains with known material relations in combination with domains where solely data are available. Adaptively adjusted weighting factors are introduced to adapt the norm in the material phase space to changing operating points. The properties of the data-driven problem and the computational complexity of the solver are discussed. The findings are illustrated with several numerical experiments covering both academic and real-world problems, including an example that is solved with real-world measurement data only.
Typ des Eintrags: | Dissertation | ||||
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Erschienen: | 2024 | ||||
Autor(en): | Galetzka, Armin | ||||
Art des Eintrags: | Erstveröffentlichung | ||||
Titel: | Data-Driven Model-Free Electromagnetic Simulation | ||||
Sprache: | Englisch | ||||
Referenten: | De Gersem, Prof. Dr. Herbert ; Römer, Prof. Dr. Ulrich | ||||
Publikationsjahr: | 20 Juni 2024 | ||||
Ort: | Darmstadt | ||||
Kollation: | vii, 80 Seiten | ||||
Datum der mündlichen Prüfung: | 10 November 2023 | ||||
DOI: | 10.26083/tuprints-00027532 | ||||
URL / URN: | https://tuprints.ulb.tu-darmstadt.de/27532 | ||||
Kurzbeschreibung (Abstract): | This work addresses the simulation of magnetostatic field problems using measured material data exclusively, rather than using material models constructed from the data. The work introduces a data-driven computing framework for field problems and adapts its formulation to the case of magnetostatics. The data-driven field problem is developed in continuous form utilizing the Euler-Lagrange equations and subsequently solved with the finite element method. A hybrid solver is introduced to handle magnetostatic problems that involve domains with known material relations in combination with domains where solely data are available. Adaptively adjusted weighting factors are introduced to adapt the norm in the material phase space to changing operating points. The properties of the data-driven problem and the computational complexity of the solver are discussed. The findings are illustrated with several numerical experiments covering both academic and real-world problems, including an example that is solved with real-world measurement data only. |
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Alternatives oder übersetztes Abstract: |
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Freie Schlagworte: | electromagnetic field simulation, data-driven computing, material model free | ||||
Status: | Verlagsversion | ||||
URN: | urn:nbn:de:tuda-tuprints-275325 | ||||
Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 621.3 Elektrotechnik, Elektronik | ||||
Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Teilchenbeschleunigung und Theorie Elektromagnetische Felder > Theorie Elektromagnetischer Felder 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Teilchenbeschleunigung und Theorie Elektromagnetische Felder |
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Hinterlegungsdatum: | 20 Jun 2024 12:23 | ||||
Letzte Änderung: | 21 Jun 2024 06:35 | ||||
PPN: | |||||
Referenten: | De Gersem, Prof. Dr. Herbert ; Römer, Prof. Dr. Ulrich | ||||
Datum der mündlichen Prüfung / Verteidigung / mdl. Prüfung: | 10 November 2023 | ||||
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