Open AccessUNCERTAINTY PROPAGATION FOR LWR BURNUP BENCHMARK USING SAMPLING BASED CODE SCALE/SAMPLER
Author(s) -
Daniel Campolina,
Jan Frýbort
Publication year - 2018
Publication title -
acta polytechnica ctu proceedings
Language(s) - English
Resource type - Journals
ISSN - 2336-5382
DOI - 10.14311/app.2018.14.0008
Subject(s) - nuclear data , burnup , sampling (signal processing) , benchmark (surveying) , nuclear engineering , scale (ratio) , nuclear reactor core , nuclear reactor , propagation of uncertainty , computer science , environmental science , reliability engineering , engineering , neutron , nuclear physics , physics , algorithm , geodesy , filter (signal processing) , quantum mechanics , computer vision , geography
Sampling based method is adopted in many fields of engineering and it is currently used to propagate uncertainties from physical parameters and from nuclear data, to integral indicators of nuclear systems. The total uncertainty associated with a model simulation is of major importance for safety analysis and to guide vendors about acceptable tolerance limits for nuclear installations parts. This work presents some calculations to propagate uncertainties for a nuclear reactor fuel element modeled in SCALE/TRITON, using the sampling tool SCALE/SAMPLER. Results showed that that the influence of input uncertainties on kinf is more pronounced in the fresh core other than the depleted core and the contribution from studied manufacturing uncertainties is smaller than the contribution of nuclear data uncertainties.