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タイトル: Statistical arguments towards the development of an advanced embrittlement correlation method for reactor pressure vessel materials
著者: Nakasuji, Toshiki
Morishita, Kazunori  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-5919-7897 (unconfirmed)
著者名の別形: 中筋, 俊樹
森下, 和功
キーワード: Radiation damage
calculation
database
error
LWR type reactor
neutron irradiation
numerical analysis
発行日: 2020
出版者: Taylor and Francis Ltd.
誌名: Journal of Nuclear Science and Technology
巻: 57
号: 3
開始ページ: 312
終了ページ: 322
抄録: An embrittlement correlation method is one of the most important techniques used to ensure the integrity of pressure vessel steels in nuclear power plants. In Japan, the embrittlement correlation method is being addressed in accordance with the Japan Electric Association Code (JEAC 4201), which was developed using actual measured data on the irradiation embrittlement of pressure vessel steels. In the present study, to develop more reliable methodologies, statistical arguments were made concerning the embrittlement data. With regard to a set of residual data defined in JEAC 4201 as a collection of differences between the measured and calculated ΔDBTT (ductile-to-brittle transition temperature shift) values, a statistical relationship between the population and samples was found, and then, the sampling errors in the mean values of the residuals were identified as key for establishing a more reliable correlation method. Using this relationship, it was noted that when predicting the amount of irradiation embrittlement for a particular plant using the JEAC 4201 correlation method, the deviation associated with sampling errors needed to be corrected. Based on this finding, a more appropriate interpretation was found for the so-called MC correction in JEAC 4201, and moreover, a new correction method was developed within the Bayesian estimation framework.
著作権等: This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Nuclear Science and Technology on 30 October 2020, available online: http://www.tandfonline.com/10.1080/00223131.2019.1676837.
The full-text file will be made open to the public on 30 October 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/2433/245879
DOI(出版社版): 10.1080/00223131.2019.1676837
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