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Enhancement of applicability of high-efficiency random sampling method using control variates method and sensitivity coefficients

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Title: Enhancement of applicability of high-efficiency random sampling method using control variates method and sensitivity coefficients
Authors: Kida, Takumi Browse this author
Chiba, Go Browse this author →KAKEN DB
Keywords: Uncertainty quantification
random sampling
sensitivity
control variates method
Issue Date: Jul-2022
Publisher: Taylor & Francis
Journal Title: Journal of nuclear science and technology
Volume: 59
Issue: 7
Start Page: 866
End Page: 874
Publisher DOI: 10.1080/00223131.2021.2015473
Abstract: The CV-S method is a high-efficiency random sampling method to estimate statistical moments of random variables, and it uses an approximated target parameter which are linearly dependent on input as a mockup parameter. In order to enhance the applicability of the CV-S method, we propose to use a mockup parameter which is different from but similar to a target parameter and whose sensitivity coefficients are available. In the present work, nuclear fuel burnup problems are concerned, and standard deviation of k infinity and nuclide number densities at certain fuel burnup are estimated by the CV-S method. Through numerical tests, it is clearly demonstrated that even if sensitivity coefficients of non burnup-related parameters in a simple system like a fuel pin-cell are used as the mockup, the CV-S method has a potential to efficiently estimate statistical moments of burnup-related parameters in a complicated system like a fuel assembly.
Rights: This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Nuclear Science and Technology on 22 Dec 2021, available online: http://www.tandfonline.com/10.1080/00223131.2021.2015473.
Type: article (author version)
URI: http://hdl.handle.net/2115/87547
Appears in Collections:工学院・工学研究院 (Graduate School of Engineering / Faculty of Engineering) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 千葉 豪

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