UNCERTAINTY ANALYSIS OF SUB-EXERCISES IN UAM-SFR BENCHMARK WITH THE MCS CODE

EPJ Web of Conferences ◽

10.1051/epjconf/202124715017 ◽

2021 ◽

Vol 247 ◽

pp. 15017

Author(s):

Yunki Jo ◽

Vutheam Dos ◽

Nhan Nguyen Trong Mai ◽

Hyunsuk Lee ◽

Deokjung Lee

Keyword(s):

Monte Carlo ◽

Perturbation Theory ◽

Uncertainty Analysis ◽

Covariance Matrix ◽

Nuclear Data ◽

Monte Carlo Code ◽

Sensitivity Coefficients ◽

Classical Perturbation Theory ◽

Generalized Perturbation Theory ◽

Parameters Of Interest

Uncertainty analysis in Modelling (UAM) for Design, Operation and Safety Analysis of Sodium-cooled Fast Reactors (SFRs) has been formed by OECD/NEA to assess the effect of nuclear data uncertainties on parameters of interest in SFR analysis. In this paper, sub-exercises of a medium 1000 MWth metallic core (MET-1000) and a large 3600 MWth oxide core (MOX-3600) are tested by a Monte Carlo code MCS to perform uncertainty analysis. Classical perturbation theory and generalized perturbation theory are used to calculate sensitivity coefficients. Uncertainty is calculated by multiplying the sensitivity coefficients and relative covariance matrix from ENDF/B-VII.1 library.

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Propagation of Nuclear Data Uncertainties in Deterministic Calculations: Application of Generalized Perturbation Theory and the Total Monte Carlo Method to a PWR Burnup Pin-Cell

Nuclear Data Sheets ◽

10.1016/j.nds.2014.04.124 ◽

2014 ◽

Vol 118 ◽

pp. 523-526 ◽

Author(s):

P. Sabouri ◽

A. Bidaud ◽

S. Dabiran ◽

D. Lecarpentier ◽

F. Ferragut

Keyword(s):

Monte Carlo ◽

Perturbation Theory ◽

Monte Carlo Method ◽

Nuclear Data ◽

Generalized Perturbation Theory

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Generalized Sensitivity Analysis With Continuous-Energy Monte Carlo Code RMC

Volume 5: Student Paper Competition ◽

10.1115/icone24-60473 ◽

2016 ◽

Author(s):

Yishu Qiu ◽

Manuele Aufiero ◽

Kan Wang ◽

Massimiliano Fratoni

Keyword(s):

Monte Carlo ◽

Monte Carlo Code ◽

Delayed Neutron ◽

Tracking Technique ◽

Continuous Energy ◽

Sensitivity Coefficients ◽

Generalized Perturbation Theory ◽

Generalized Sensitivity ◽

Good Agreement ◽

Particle Weight

A new capability for computing sensitivity coefficients of bilinear response functions has been developed in the Reactor Monte Carlo code RMC based on the collision history-based method. Originally implemented in the Monte Carlo code SERPENT2 in the frame of Delta-tracking technique, this method computes the perturbation of particle weight based on the concept of accepted events and rejected events. The implementation of this method in RMC is based on ray-tracking technique. The new capability in RMC has been verified by comparing sensitivity coefficients of adjoint-weighted kinetic parameters including effective prompt lifetime and effective delayed neutron fraction from SERPENT2 as well as two deterministic codes based on Equivalent Generalized Perturbation Theory (EGPT), TSUNAMI-1D and SUSD3D, through two fast metallic systems, the Jezebel and flattop problems. Good agreement among RMC, SERPENT2, SUSD3D and TSUNAMI-1D (EGPT) is observed.

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Nuclear data sensitivity and uncertainty analysis of critical VENUS-F cores with the Serpent Monte Carlo code

Annals of Nuclear Energy ◽

10.1016/j.anucene.2019.107196 ◽

2020 ◽

Vol 138 ◽

pp. 107196

Author(s):

E. Fridman ◽

V. Valtavirta ◽

M. Aufiero

Keyword(s):

Monte Carlo ◽

Uncertainty Analysis ◽

Nuclear Data ◽

Monte Carlo Code ◽

Sensitivity And Uncertainty Analysis ◽

Data Sensitivity

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Improvement of sensitivity and uncertainty analysis capabilities of generalized response in Monte Carlo code RMC

Annals of Nuclear Energy ◽

10.1016/j.anucene.2020.108099 ◽

2021 ◽

Vol 154 ◽

pp. 108099

Author(s):

Guanlin Shi ◽

Yuchuan Guo ◽

Conglong Jia ◽

Zhiyuan Feng ◽

Kan Wang ◽

...

Keyword(s):

Monte Carlo ◽

Uncertainty Analysis ◽

Monte Carlo Code ◽

Sensitivity And Uncertainty Analysis

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Analysis of the three-dimensional VENUS-2 MOX core benchmark using the Monte Carlo code TRIPOLI-4 and the ENDF/B-VI.4, ENDF/B-VII.0 and JEFF-3.1 nuclear data sets

Nuclear Engineering and Design ◽

10.1016/j.nucengdes.2014.03.029 ◽

2014 ◽

Vol 273 ◽

pp. 215-233 ◽

Author(s):

P. Savva ◽

M. Varvayanni ◽

N. Catsaros

Keyword(s):

Monte Carlo ◽

Three Dimensional ◽

Nuclear Data ◽

Data Sets ◽

Monte Carlo Code

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Analysis of the first core of the Indonesian multipurpose research reactor RSG-GAS using the Serpent Monte Carlo code and the ENDF/B-VIII.0 nuclear data library

Nuclear Engineering and Technology ◽

10.1016/j.net.2020.05.027 ◽

2020 ◽

Vol 52 (12) ◽

pp. 2725-2732 ◽

Author(s):

Donny Hartanto ◽

Peng Hong Liem

Keyword(s):

Monte Carlo ◽

Research Reactor ◽

Nuclear Data ◽

Monte Carlo Code ◽

Nuclear Data Library ◽

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Development of a sensitivity and uncertainty analysis code for high temperature gas-cooled reactor physics based on the generalized perturbation theory

Annals of Nuclear Energy ◽

10.1016/j.anucene.2015.06.005 ◽

2015 ◽

Vol 85 ◽

pp. 501-511 ◽

Author(s):

Tae Young Han ◽

Hyun Chul Lee ◽

Jae Man Noh

Keyword(s):

Perturbation Theory ◽

High Temperature ◽

Uncertainty Analysis ◽

Reactor Physics ◽

Generalized Perturbation Theory ◽

Sensitivity And Uncertainty Analysis ◽

High Temperature Gas

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Uncertainty analysis with double heterogeneity treatment based on the generalized perturbation theory

Annals of Nuclear Energy ◽

10.1016/j.anucene.2017.02.031 ◽

2017 ◽

Vol 106 ◽

pp. 111-117 ◽

Author(s):

Tae Young Han ◽

Hyun Chul Lee ◽

Jin Young Cho

Keyword(s):

Perturbation Theory ◽

Uncertainty Analysis ◽

Generalized Perturbation Theory ◽

Double Heterogeneity

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Investigation of Nuclear Data Libraries with TRIPOLI-4 Monte Carlo Code for Sodium-cooled Fast Reactors

Nuclear Data Sheets ◽

10.1016/j.nds.2014.04.099 ◽

2014 ◽

Vol 118 ◽

pp. 433-436

Author(s):

Y.-K. Lee ◽

E. Brun

Keyword(s):

Monte Carlo ◽

Nuclear Data ◽

Monte Carlo Code ◽

Fast Reactors ◽

Data Libraries ◽

Nuclear Data Libraries

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Uncertainty analysis in environmental radioactivity measurements using the Monte Carlo code MCNP5

Radiation Physics and Chemistry ◽

10.1016/j.radphyschem.2015.05.023 ◽

2015 ◽

Vol 116 ◽

pp. 214-218 ◽

Author(s):

S. Gallardo ◽

A. Querol ◽

J. Ortiz ◽

J. Ródenas ◽

G. Verdú ◽

...

Keyword(s):

Monte Carlo ◽

Uncertainty Analysis ◽

Environmental Radioactivity ◽

Monte Carlo Code ◽

Radioactivity Measurements

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