Parallel-in-Time Integration of Transient Phenomena in No-Insulation Superconducting Coils Using Parareal
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arXiv
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| Autores principales: | , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866911846370377728 |
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| author | Schnaubelt, Erik Wozniak, Mariusz Dular, Julien Garcia, Idoia Cortes Verweij, Arjan Schöps, Sebastian |
| author_facet | Schnaubelt, Erik Wozniak, Mariusz Dular, Julien Garcia, Idoia Cortes Verweij, Arjan Schöps, Sebastian |
| contents | High-temperature superconductors (HTS) have the potential to enable magnetic fields beyond the current limits of low-temperature superconductors in applications like accelerator magnets. However, the design of HTS-based magnets requires computationally demanding transient multi-physics simulations with highly non-linear material properties. To reduce the solution time, we propose using Parareal (PR) for parallel-in-time magneto-thermal simulation of magnets based on HTS, particularly, no-insulation coils without turn-to-turn insulation. We propose extending the classical PR method to automatically find a time partitioning using a first coarse adaptive propagator. The proposed PR method is shown to reduce the computing time when fine engineering tolerances are required despite the highly nonlinear character of the problem. The full software stack used is open-source. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_13333 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Parallel-in-Time Integration of Transient Phenomena in No-Insulation Superconducting Coils Using Parareal Schnaubelt, Erik Wozniak, Mariusz Dular, Julien Garcia, Idoia Cortes Verweij, Arjan Schöps, Sebastian Computational Engineering, Finance, and Science Superconductivity Computational Physics High-temperature superconductors (HTS) have the potential to enable magnetic fields beyond the current limits of low-temperature superconductors in applications like accelerator magnets. However, the design of HTS-based magnets requires computationally demanding transient multi-physics simulations with highly non-linear material properties. To reduce the solution time, we propose using Parareal (PR) for parallel-in-time magneto-thermal simulation of magnets based on HTS, particularly, no-insulation coils without turn-to-turn insulation. We propose extending the classical PR method to automatically find a time partitioning using a first coarse adaptive propagator. The proposed PR method is shown to reduce the computing time when fine engineering tolerances are required despite the highly nonlinear character of the problem. The full software stack used is open-source. |
| title | Parallel-in-Time Integration of Transient Phenomena in No-Insulation Superconducting Coils Using Parareal |
| topic | Computational Engineering, Finance, and Science Superconductivity Computational Physics |
| url | https://arxiv.org/abs/2404.13333 |