Bundschuh, Jonas ; D’Angelo, Laura A. M. ; De Gersem, Herbert (2024)
Quasi-3-D spectral wavelet method for a thermal quench simulation.
In: Journal of Mathematics in Industry, 2021, 11 (1)
doi: 10.26083/tuprints-00023619
Article, Secondary publication, Publisher's Version
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Item Type: | Article |
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Type of entry: | Secondary publication |
Title: | Quasi-3-D spectral wavelet method for a thermal quench simulation |
Language: | English |
Date: | 8 April 2024 |
Place of Publication: | Darmstadt |
Year of primary publication: | 11 October 2021 |
Place of primary publication: | Berlin ; Heidelberg |
Publisher: | SpringerOpen |
Journal or Publication Title: | Journal of Mathematics in Industry |
Volume of the journal: | 11 |
Issue Number: | 1 |
Collation: | 19 Seiten |
DOI: | 10.26083/tuprints-00023619 |
Corresponding Links: | |
Origin: | Secondary publication DeepGreen |
Abstract: | The finite element method is widely used in simulations of various fields. However, when considering domains whose extent differs strongly in different spatial directions a finite element simulation becomes computationally very expensive due to the large number of degrees of freedom. An example of such a domain are the cables inside of the magnets of particle accelerators. For translationally invariant domains, this work proposes a quasi-3-D method. Thereby, a 2-D finite element method with a nodal basis in the cross-section is combined with a spectral method with a wavelet basis in the longitudinal direction. Furthermore, a spectral method with a wavelet basis and an adaptive and time-dependent resolution is presented. All methods are verified. As an example the hot-spot propagation due to a quench in Rutherford cables is simulated successfully. |
Uncontrolled Keywords: | Finite element methods, Hybrid discretizations, Spectral element methods, Wavelets, Quenches |
Identification Number: | Artikel-ID: 17 |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-236195 |
Classification DDC: | 500 Science and mathematics > 510 Mathematics 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 Exzellenzinitiative > Graduate Schools > Graduate School of Computational Engineering (CE) |
Date Deposited: | 08 Apr 2024 12:28 |
Last Modified: | 10 Apr 2024 06:07 |
SWORD Depositor: | Deep Green |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/23619 |
PPN: | 51700853X |
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