Abstract
The Sampler sequence of the SCALE code system for random sampling–based uncertainty analyses has recently been extended by including a sensitivity analysis. In uncertainty analyses with respect to uncertainties in the nuclear data, the determination of two multiple correlation coefficients—R2 and SPC2—allows for the identification of nuclide reactions that are significantly contributing to the investigated output uncertainty. Individual nuclide reactions are ranked by importance, allowing suggestions for additional measurements and evaluations to significantly reduce the observed output uncertainty. A brief description of the theory is provided herein, followed by application of this analysis to a sodium-cooled fast reactor pin cell.
Original language | English |
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Title of host publication | International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019 |
Publisher | American Nuclear Society |
Pages | 2371-2380 |
Number of pages | 10 |
ISBN (Electronic) | 9780894487699 |
State | Published - 2019 |
Event | 2019 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019 - Portland, United States Duration: Aug 25 2019 → Aug 29 2019 |
Publication series
Name | International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019 |
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Conference
Conference | 2019 International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2019 |
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Country/Territory | United States |
City | Portland |
Period | 08/25/19 → 08/29/19 |
Funding
The preparation and presentation of this paper were supported by the US Department of Energy Nuclear Criticality Safety Program. The initial studies for this paper were funded by the Nuclear Data and Benchmarking Program of the US Department of Energy’s Office of Nuclear Energy. The authors would like to thank Bernard Krzykacz-Hausmann, Winfried Zwermann and Nadine Berner for many fruitful discussions about the sensitivity analysis in the GRS code XSUSA and about the mathematical interpretation of the presented statistical values. *This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).
Keywords
- Random sampling approach
- SCALE
- Sampler
- Sensitivity analysis