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Nuclear data-induced uncertainty quantification of neutronics parameters of accelerator-driven system

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Title: Nuclear data-induced uncertainty quantification of neutronics parameters of accelerator-driven system
Authors: Chiba, Go Browse this author →KAKEN DB
Pyeon, Cheol Ho Browse this author
van Rooijen, Wilfred Browse this author
Endo, Tomohiro Browse this author
Keywords: Uncertainty quantification
accelerator-driven system
Issue Date: Oct-2016
Publisher: Taylor & Francis
Journal Title: Journal of nuclear science and technology
Volume: 53
Issue: 10
Start Page: 1653
End Page: 1661
Publisher DOI: 10.1080/00223131.2015.1127185
Abstract: Nuclear data-induced uncertainties of neutronics parameters of one accelerator-driven system concept designed by the Japan Atomic Energy Agency are quantified. The variance-covariance data provided in the JENDL-4.0 library are used. Uncertainties are quantified for effective neutron multiplication factor, subcritical neutron multiplication rate, a family of delayed neutron fractions, power peaking and coolant void reactivity at several operational states. Inter-cycle and inter-parameter correlation matrices and detailed information such as nuclide-wise and nuclear data-wise uncertainties are also provided.
Rights: This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Nuclear Science and Technology on October 2016, available online:
Type: article (author version)
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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