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dc.contributor.author | Mifune, Takeshi | en |
dc.contributor.author | Tominaga, Naoki | en |
dc.contributor.author | Sogabe, Yusuke | en |
dc.contributor.author | Mizobata, Yudai | en |
dc.contributor.author | Yasunaga, Masahiro | en |
dc.contributor.author | Ida, Akihiro | en |
dc.contributor.author | Iwashita, Takeshi | en |
dc.contributor.author | Amemiya, Naoyuki | en |
dc.contributor.alternative | 曽我部, 友輔 | ja |
dc.contributor.alternative | 安永, 将広 | ja |
dc.contributor.alternative | 雨宮, 尚之 | ja |
dc.date.accessioned | 2019-10-08T00:18:29Z | - |
dc.date.available | 2019-10-08T00:18:29Z | - |
dc.date.issued | 2019-09 | - |
dc.identifier.issn | 0953-2048 | - |
dc.identifier.uri | http://hdl.handle.net/2433/244211 | - |
dc.description.abstract | We developed a novel software for large-scale electromagnetic field analyses of coils wound with coated conductors based on current-vector-potential formulation with thin-strip approximation. Although this formulation was effective for obtaining the precise solutions of the electromagnetic field, the strong nonlinear property of superconducting materials frequently led to highly ill-conditioned linear systems of equations, which were difficult to solve efficiently. Moreover, the memory consumption and computation time required for the analyses rapidly increased with the size of the analysis due to dense matrix operations. In our software, the first difficulty was addressed by a novel preconditioning technique based on the algebraic multigrid method. Algebraic multigrid preconditioning enabled us to efficiently and stably solve the ill-conditioned linear systems of equations encountered in our analyses. It also improved the robustness of the analyses containing multifilament-coated conductors. As regards the second difficulty, the hierarchical matrices representation drastically reduced the memory consumption related to the dense matrices, as well as computation time. Meanwhile, our implementation of the hierarchical matrices representation was quite compatible with parallel computations on distributed memory computers. Finally, we presented some practical examples of large-scale analyses, which became possible by using the new software. For instance, the analysis of a cosine-theta dipole magnet whose number of degrees of freedom was more than 1.5 million was successfully completed in 78 h by 56 parallel processes and with a total memory consumption of 177 GB. | en |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | IOP Publishing | en |
dc.rights | This is an author-created, un-copyedited version of an article accepted for published in Superconductor Science and Technology. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript orany version derived from it. The Version of Record is available online at https://doi.org/10.1088/1361-6668/ab1d35. | en |
dc.rights | The full-text file will be made open to the public on 18 July 2020 in accordance with publisher's 'Terms and Conditions for Self-Archiving'. | en |
dc.rights | この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。 | ja |
dc.rights | This is not the published version. Please cite only the published version. | en |
dc.subject | Electrical and Electronic Engineering | en |
dc.subject | Materials Chemistry | en |
dc.subject | Condensed Matter Physics | en |
dc.subject | Metals and Alloys | en |
dc.subject | Ceramics and Composites | en |
dc.title | Large-scale electromagnetic field analyses of coils wound with coated conductors using a current-vector-potential formulation with a thin-strip approximation | en |
dc.type | journal article | - |
dc.type.niitype | Journal Article | - |
dc.identifier.jtitle | Superconductor Science and Technology | en |
dc.identifier.volume | 32 | - |
dc.identifier.issue | 9 | - |
dc.relation.doi | 10.1088/1361-6668/ab1d35 | - |
dc.textversion | author | - |
dc.address | Department of Electrical Engineering, Graduate School of Engineering, Kyoto University | en |
dc.address | Department of Electrical Engineering, Graduate School of Engineering, Kyoto University | en |
dc.address | Department of Electrical Engineering, Graduate School of Engineering, Kyoto University | en |
dc.address | Department of Electrical Engineering, Graduate School of Engineering, Kyoto University | en |
dc.address | Department of Electrical Engineering, Graduate School of Engineering, Kyoto University | en |
dc.address | Supercomputing Research Division, Information Technology Center, The University of Tokyo | en |
dc.address | Information Initiative Center, Hokkaido University | en |
dc.address | Department of Electrical Engineering, Graduate School of Engineering, Kyoto University | en |
dcterms.accessRights | open access | - |
datacite.date.available | 2020-07-18 | - |
datacite.awardNumber | 16H02326 | - |
jpcoar.funderName | 日本学術振興会 | ja |
jpcoar.funderName.alternative | Japan Society for the Promotion of Science (JSPS) | en |
出現コレクション: | 学術雑誌掲載論文等 |
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