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Estimation of neutronics parameter sensitivity to nuclear data in random sampling-based uncertainty quantification calculations

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タイトル: Estimation of neutronics parameter sensitivity to nuclear data in random sampling-based uncertainty quantification calculations
著者: Chiba, Go 著作を一覧する
Kawamoto, Yosuke 著作を一覧する
Tsuji, Masashi 著作を一覧する
Narabayashi, Tadashi 著作を一覧する
キーワード: Sensitivity profile
Random sampling
Uncertainty quantification
発行日: 2015年 1月
出版者: Elsevier
誌名: Annals of nuclear energy
巻: 75
開始ページ: 395
終了ページ: 403
出版社 DOI: 10.1016/j.anucene.2014.08.049
抄録: We propose a method to estimate sensitivity profiles of neutronics parameters with respect to nuclear data in random sampling-based uncertainty quantification calculations. The proposed method is tested to estimate sensitivity profiles of fast neutron systems criticalities. A high order effect in sensitivity profile estimation is found to be quite important, so a reverse sampling method is developed to mitigate the high order effect. With this reverse sampling method, detail energy group-wise sensitivity profiles can be estimated even though some fluctuations are observed in specific sensitivity profiles. Energy-integrated sensitivity profiles can be accurately calculated with the proposed method. With the estimated sensitivity profiles, partial uncertainties, that are neutronics parameters uncertainties induced by specific nuclear data uncertainties, are also calculated. Numerical tests reveal that the proposed method reproduces quite well the reference partial uncertainties. A simple and practical partial uncertainty estimation method, which only requires a covariance matrix between neutronics parameter and nuclear data, is also tested and assessed.
資料タイプ: article (author version)
URI: http://hdl.handle.net/2115/58006
出現コレクション:雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

提供者: 千葉 豪

 

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