Nuclear data uncertainty propagation and modeling uncertainty impact evaluation in neutronics core simulation

2020 ◽  
Vol 128 ◽  
pp. 103443
Author(s):  
Dongli Huang ◽  
Hany S. Abdel-Khalik
Keyword(s):  
Impact Evaluation ◽  
Uncertainty Propagation ◽  
Nuclear Data ◽  
Data Uncertainty ◽  
Modeling Uncertainty ◽  
Core Simulation

Nuclear Data Uncertainty Propagation for a Sodium Fast Reactor

2011 ◽  
Vol 59 (2(3)) ◽  
pp. 1191-1194 ◽  
Author(s):  
D. Rochman ◽  
A. J. Koning ◽  
D. F. Dacruz ◽  
S. C. van der Marck
Keyword(s):  
Fast Reactor ◽  
Uncertainty Propagation ◽  
Nuclear Data ◽  
Data Uncertainty ◽  
Sodium Fast Reactor

scholarly journals Nuclear Data Uncertainty Propagation to Reactivity Coefficients of a Sodium Fast Reactor

2014 ◽  
Vol 118 ◽  
pp. 535-537
Author(s):  
J.J. Herrero ◽  
R. Ochoa ◽  
J.S. Martínez ◽  
C.J. Díez ◽  
N. García-Herranz ◽  
...  
Keyword(s):  
Fast Reactor ◽  
Uncertainty Propagation ◽  
Nuclear Data ◽  
Data Uncertainty ◽  
Sodium Fast Reactor ◽  
Reactivity Coefficients

Nuclear-data uncertainty propagation in transient simulation for the C5G7-TD benchmark problem

2020 ◽  
Vol 140 ◽  
pp. 107122
Author(s):  
Chenghui Wan ◽  
Zhuojie Sui ◽  
Bo Wang ◽  
Liangzhi Cao ◽  
Zhouyu Liu ◽  
...  
Keyword(s):  
Uncertainty Propagation ◽  
Nuclear Data ◽  
Transient Simulation ◽  
Data Uncertainty ◽  
Benchmark Problem

scholarly journals Examples of Monte Carlo techniques applied for nuclear data uncertainty propagation

2019 ◽  
Vol 211 ◽  
pp. 07008 ◽  
Author(s):  
Oscar Cabellos ◽  
Luca Fiorito
Keyword(s):  
Monte Carlo ◽  
Large Scale ◽  
Uncertainty Propagation ◽  
Nuclear Data ◽  
Monte Carlo Technique ◽  
Data Uncertainty ◽  
Design Parameters ◽  
Monte Carlo Techniques ◽  
Bayesian Monte Carlo ◽  
The Impact

The aim of this work is to review different Monte Carlo techniques used to propagate nuclear data uncertainties. Firstly, we introduced Monte Carlo technique applied for Uncertainty Quantification studies in safety calculations of large scale systems. As an example, the impact of nuclear data uncertainty of JEFF-3.3 235U, 238U and 239Pu is demonstrated for the main design parameters of a typical 3-loop PWR Westinghouse unit. Secondly, the Bayesian Monte Carlo technique for data adjustment is presented. An example for 235U adjustment using criticality and shielding integral benchmarks shows the importance of performing joint adjustment based on different set of integral benchmarks.

Nuclear data uncertainty propagation for spectral reaction ratios

2018 ◽  
Vol 122 ◽  
pp. 1-7
Author(s):  
Corey Keith ◽  
Hugh Selby ◽  
Amy Lee
Keyword(s):  
Uncertainty Propagation ◽  
Nuclear Data ◽  
Data Uncertainty

Nuclear data uncertainty propagation to integral responses using SANDY

2017 ◽  
Vol 101 ◽  
pp. 359-366 ◽  
Author(s):  
L. Fiorito ◽  
G. Žerovnik ◽  
A. Stankovskiy ◽  
G. Van den Eynde ◽  
P.E. Labeau
Keyword(s):  
Uncertainty Propagation ◽  
Nuclear Data ◽  
Data Uncertainty

Nuclear data uncertainty propagation on a sodium fast reactor

2017 ◽  
Vol 324 ◽  
pp. 122-130 ◽  
Author(s):  
M. Griseri ◽  
L. Fiorito ◽  
A. Stankovskiy ◽  
G. Van den Eynde
Keyword(s):  
Fast Reactor ◽  
Uncertainty Propagation ◽  
Nuclear Data ◽  
Data Uncertainty ◽  
Sodium Fast Reactor
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