| アイテムタイプ |
itemtype_ver1(1) |
| 公開日 |
2024-10-17 |
| タイトル |
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|
タイトル |
Limited linear source approximation with edge detection for convergence stability of method of characteristics |
|
言語 |
en |
| 著者 |
Yamamoto, Akio
Endo, Tomohiro
Chiba, Go
|
| アクセス権 |
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|
アクセス権 |
open access |
|
アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 権利 |
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|
権利情報 |
This is an Accepted Manuscript of an article published by Taylor & Francis Group in Journal of Nuclear Science and Technology on 03/05/2024, available online: http://www.tandfonline.com/10.1080/00223131.2024.2341776. |
|
言語 |
en |
| 内容記述 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
A new implementation of the limited linear source approximation (LLSA) is proposed. The LLSA was previously proposed to eliminate local negative source in flux regions to mitigate numerical instability of the method of characteristics (MOC) with linear source approximation (LSA). In the present LLSA implementation, the convex edges of flux regions are used to check the local negative source to decrease the computational load. The present method is implemented in the transport code GENESIS, and its effectiveness is verified through the two dimensional C5G7 benchmark problem and the simplified two-dimensional high-temperature engineering test reactor core. The calculation results indicate that the present LLSA implementation efficiently mitigates the numerical instability of MOC with LSA. Additional computational time is less than 1% of total computation time. |
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言語 |
en |
| 内容記述 |
|
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内容記述タイプ |
Other |
|
内容記述 |
Published online: 03 May 2024 |
|
言語 |
en |
| 出版者 |
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|
出版者 |
Taylor & Francis |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
|
|
資源タイプresource |
http://purl.org/coar/resource_type/c_6501 |
|
タイプ |
journal article |
| 出版タイプ |
|
|
出版タイプ |
AM |
|
出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
| 関連情報 |
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|
関連タイプ |
isVersionOf |
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|
識別子タイプ |
DOI |
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|
関連識別子 |
https://doi.org/10.1080/00223131.2024.2341776 |
| 収録物識別子 |
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収録物識別子タイプ |
PISSN |
|
収録物識別子 |
0022-3131 |
| 書誌情報 |
en : Journal of Nuclear Science and Technology
巻 61,
号 11,
p. 1405-1414,
発行日 2024
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| ファイル公開日 |
|
|
日付 |
2025-05-03 |
|
日付タイプ |
Available |
LLSA_r1_clearn.pdf (2.8 MB)
