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タイトル: Two-step Monte Carlo sensitivity analysis of alpha- and gamma-eigenvalues with the differential operator sampling method
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: Alpha-eigenvalue
Gamma-eigenvalue
Monte Carlo
Sensitivity analysis
Differential operator
発行日: Nov-2019
出版者: Elsevier BV
誌名: Annals of Nuclear Energy
巻: 133
開始ページ: 100
終了ページ: 109
抄録: A new Monte Carlo method is developed to calculate the sensitivity coefficients of the α-eigenvalue (the time decay constant) and the γ-eigenvalue (the spatial decay constant in an exponential experiment) with respect to nuclear data. A method that was previously developed for the sensitivity analyses of the α-eigenvalue, which is not based on the normal k-α algorithm, is not applicable to the γ-eigenvalue due to its inability to obtain a converged source distribution. Then, a two-step method in which two sensitivity coefficients are separately calculated using the k-α or k-γ algorithm and the differential operator sampling method is newly developed. The sensitivity coefficient of the α- or γ-eigenvalue is represented by the ratio of the two sensitivity coefficients. Some numerical tests for three-energy group problems are performed using the new method. The sensitivity coefficients that are obtained by the new method are verified by comparing them to the solutions of deterministic transport calculations or to the approximate results that are obtained from the direct perturbations of the cross-sections.
著作権等: © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.
The full-text file will be made open to the public on 1 November 2021 in accordance with publisher's 'Terms and Conditions for Self-Archiving'.
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。
This is not the published version. Please cite only the published version.
URI: http://hdl.handle.net/2433/241540
DOI(出版社版): 10.1016/j.anucene.2019.05.013
出現コレクション:学術雑誌掲載論文等

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