Review of Early 21st-Century Monte Carlo Perturbation and Sensitivity Techniques for k-Eigenvalue Radiation Transport Calculations
BC Kiedrowski - Nuclear Science and Engineering, 2017 - Taylor & Francis
Abstract Since the 1960s, Monte Carlo methods have been used to compute the effect of
perturbations on system responses and for computing sensitivity coefficients. This review …
perturbations on system responses and for computing sensitivity coefficients. This review …
A review of the current nuclear data performance assessments in advanced nuclear reactor systems
AA Ryzhkov, GV Tikhomirov, MY Ternovykh - Annals of Nuclear Energy, 2024 - Elsevier
There is a rise in sensitivity and uncertainty analyses with respect to nuclear data, which are
a basis for a neutron transport simulation. The analyses are primarily concerned with the …
a basis for a neutron transport simulation. The analyses are primarily concerned with the …
Development of a reduced order model for fuel burnup analysis
Fuel burnup analysis requires a high computational cost for full core calculations, due to the
amount of the information processed for the total reaction rates in many burnup regions …
amount of the information processed for the total reaction rates in many burnup regions …
[HTML][HTML] Preliminary uncertainty and sensitivity analysis of the Molten Salt Fast Reactor steady-state using a Polynomial Chaos Expansion method
In this work, we present the results of a preliminary uncertainty quantification and sensitivity
analysis study of the Molten Salt Fast Reactor (MSFR) behavior at steady-state performed by …
analysis study of the Molten Salt Fast Reactor (MSFR) behavior at steady-state performed by …
An Adjoint Proper Orthogonal Decomposition method for a neutronics reduced order model
S Lorenzi - Annals of Nuclear Energy, 2018 - Elsevier
This paper deals with the use of Reduced Order Methods for neutronics modelling. This
approach is used whether both accuracy and computational efficiency are required. A very …
approach is used whether both accuracy and computational efficiency are required. A very …
Generalized perturbation techniques for uncertainty quantification in lead-cooled fast reactors
N Abrate, S Dulla, P Ravetto - Annals of Nuclear Energy, 2021 - Elsevier
The design of innovative nuclear fission systems requires a careful evaluation of the
uncertainties affecting the basic input data. Among them, nuclear data are particularly …
uncertainties affecting the basic input data. Among them, nuclear data are particularly …
Comparison and evaluation of resolved resonance region covariance representations
The covariance matrices for the evaluated resolved resonance region parameters are
typically processed into a grouped covariance representation for use in uncertainty …
typically processed into a grouped covariance representation for use in uncertainty …
A Nonintrusive Nuclear Data Uncertainty Propagation Study for the ARC Fusion Reactor Design
It is widely recognized that the safe and robust design of a nuclear system requires an
uncertainty propagation analysis concerning the various nuclear data used as input …
uncertainty propagation analysis concerning the various nuclear data used as input …
Correlation in the fast neutron range via integral information
This paper presents a Bayesian approach based on integral experiments to create
correlations which do not appear with differential data. Some quantities such as the fission …
correlations which do not appear with differential data. Some quantities such as the fission …
Nuclear data uncertainty propagation for the molten salt fast reactor design
The development of new reactor technologies requires careful assessments of the various
sources of epistemic uncertainties. In this work, nuclear data uncertainties featuring the main …
sources of epistemic uncertainties. In this work, nuclear data uncertainties featuring the main …