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Development of sensitivity analysis capabilities of generalized responses to nuclear data in Monte Carlo code RMC.

Authors :
Qiu, Yishu
Aufiero, Manuele
Wang, Kan
Fratoni, Massimiliano
Source :
Annals of Nuclear Energy. Nov2016, Vol. 97, p142-152. 11p.
Publication Year :
2016

Abstract

Capabilities for nuclear data sensitivity and uncertainty analysis have been recently implemented in numerous continuous-energy Monte Carlo codes, including the Reactor Monte Carlo (RMC) code. Previous work developed the capability for RMC of computing sensitivity coefficients of the effective multiplication factor and related uncertainties, due to nuclear data. In this work, such capability was extended to generalized responses in the form of ratios of linear response functions of the forward flux based on the collision history-based approach as implemented in SERPENT2. The superhistory algorithm was also adopted in RMC to reduce memory consumption for generalized sensitivity calculations. These new capabilities of RMC were verified by comparing results of TSUNAMI-1D in SCALE6.1 code package, and SERPENT2 through Jezebel, Flattop and the UAM TMI PWR pin cell benchmark problems. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03064549
Volume :
97
Database :
Academic Search Index
Journal :
Annals of Nuclear Energy
Publication Type :
Academic Journal
Accession number :
117293858
Full Text :
https://doi.org/10.1016/j.anucene.2016.07.016