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 ◽  
...  
2011 ◽  
Vol 59 (2(3)) ◽  
pp. 1191-1194 ◽  
Author(s):  
D. Rochman ◽  
A. J. Koning ◽  
D. F. Dacruz ◽  
S. C. van der Marck

2014 ◽  
Vol 118 ◽  
pp. 535-537
Author(s):  
J.J. Herrero ◽  
R. Ochoa ◽  
J.S. Martínez ◽  
C.J. Díez ◽  
N. García-Herranz ◽  
...  

2019 ◽  
Vol 211 ◽  
pp. 07008 ◽  
Author(s):  
Oscar Cabellos ◽  
Luca Fiorito

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.


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

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

2017 ◽  
Vol 324 ◽  
pp. 122-130 ◽  
Author(s):  
M. Griseri ◽  
L. Fiorito ◽  
A. Stankovskiy ◽  
G. Van den Eynde

2016 ◽  
Vol 94 ◽  
pp. 603-611 ◽  
Author(s):  
O. Leray ◽  
D. Rochman ◽  
P. Grimm ◽  
H. Ferroukhi ◽  
A. Vasiliev ◽  
...  

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