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A new propagation analysis of statistical uncertainty in multi-group cross sections generated by Monte Carlo method

Title
A new propagation analysis of statistical uncertainty in multi-group cross sections generated by Monte Carlo method
Author
김종경
Keywords
Monte Carlo method; Multi-group cross section; Uncertainty propagation; Statistical uncertainty
Issue Date
2018-10
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Citation
ANNALS OF NUCLEAR ENERGY, v. 120, page. 477-484
Abstract
There are many studies on the Monte Carlo method to generate multi-group cross sections. However, there are not enough studies about the propagation of statistical uncertainty in multi-group cross sections. The purpose of this study is to generate Monte Carlo-based multi-group cross sections for the deterministic code and to evaluate the uncertainty of reactor physics parameters propagated from the statistical uncertainty in multi-group cross sections. To achieve this goal, new formulations for uncertainty propagations were developed. By applying the developed formulations, the propagated uncertainty of eigenvalue was quantified. The accuracy of the calculated uncertainty was validated by using the direct sampling method. Through this study, it is possible to accurately evaluate the uncertainty propagated from the statistical uncertainty in multi-group cross sections. This study can support the reliability of multi-group cross sections created by Monte Carlo method. In addition, the individual contribution of the statistical uncertainty of multi-group cross sections to the uncertainty of the eigenvalue can be calculated. It can provide the helpful information to produce accurate multi-group cross sections by Monte Carlo method. (C) 2018 Elsevier Ltd. All rights reserved.
URI
https://www.sciencedirect.com/science/article/pii/S0306454918303062?via%3Dihubhttps://repository.hanyang.ac.kr/handle/20.500.11754/120369
ISSN
0306-4549
DOI
https://www.sciencedirect.com/science/article/pii/S0306454918303062?via%3Dihub
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > NUCLEAR ENGINEERING(원자력공학과) > Articles
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