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タイトル: Monte Carlo perturbation method for optimum surface geometry due to sloshing motion
著者: Yamamoto, Toshihiro  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-6709-0432 (unconfirmed)
Sakamoto, Hiroki
著者名の別形: 山本, 俊弘
キーワード: Monte Carlo
Sloshing
Fuel solution
Criticality
Perturbation
発行日: Jun-2023
出版者: Elsevier BV
誌名: Progress in Nuclear Energy
巻: 160
論文番号: 104715
抄録: For the nuclear criticality safety of a fuel solution, it is important to identify the maximum positive reactivity induced by the upper surface sloshing motion. Deterministic methods for obtaining optimum surface geometry have been previously developed. This study proposes a Monte Carlo perturbation method for this purpose. Surface importance (SI) is defined as a small reactivity added by an upward lifting of a point on the upper surface. The reactivity is obtained using the correlated sampling method. The optimum geometry is attained by iteratively changing the surface geometry such that the SI distribution is eventually flattened throughout the upper surface. Examples of optimum surface geometries are presented for the bare and water-reflected fuel solutions.
著作権等: © 2023. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.
The full-text file will be made open to the public on 1 June 2025 in accordance with publisher's 'Terms and Conditions for Self-Archiving'.
This is not the published version. Please cite only the published version. 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。
URI: http://hdl.handle.net/2433/283263
DOI(出版社版): 10.1016/j.pnucene.2023.104715
出現コレクション:学術雑誌掲載論文等

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