Efficient use of Monte Carlo: uncertainty propagation

D Rochman, W Zwermann, SC Marck… - Nuclear Science and …, 2014 - Taylor & Francis
A new and faster Total Monte Carlo (TMC) method for the propagation of nuclear data
uncertainties in Monte Carlo nuclear simulations is presented (the fast TMC method). It …

Comparison of nuclear data uncertainty propagation methodologies for PWR burn-up simulations

CJ Diez, O Buss, A Hoefer, D Porsch… - Annals of Nuclear Energy, 2015 - Elsevier
Several methodologies using different levels of approximations have been developed for
propagating nuclear data uncertainties in nuclear burn-up simulations. Most methods fall …

[HTML][HTML] Nuclear data uncertainty and sensitivity analysis with XSUSA for fuel assembly depletion calculations

W Zwermann, A Aures, L Gallner, V Hannstein… - Nuclear Engineering …, 2014 - Elsevier
Uncertainty and sensitivity analyses with respect to nuclear data are performed with
depletion calculations for BWR and PWR fuel assemblies specified in the framework of the …

Benchmarking and application of the state-of-the-art uncertainty analysis methods XSUSA and SHARK-X

A Aures, F Bostelmann, M Hursin, O Leray - Annals of Nuclear Energy, 2017 - Elsevier
This study presents collaborative work performed between GRS and PSI on benchmarking
and application of the state-of-the-art uncertainty analysis methods XSUSA and SHARK-X …

Status of XSUSA for sampling based nuclear data uncertainty and sensitivity analysis

W Zwermann, L Gallner, M Klein… - EPJ Web of …, 2013 - epj-conferences.org
In the present contribution, an overview of the sampling based XSUSA method for sensitivity
and uncertainty analysis with respect to nuclear data is given. The focus is on recent …

Reactor simulations with nuclear data uncertainties

A Aures, W Bernnat, F Bostelmann, J Bousquet… - … Engineering and Design, 2019 - Elsevier
The paper demonstrates the influence of uncertainties in microscopic nuclear data on the
results of reactor simulations, both for stationary and transient states. It gives an overview on …

NUSS-RF: Stochastic sampling-based tool for nuclear data sensitivity and uncertainty quantification

T Zhu, A Vasiliev, H Ferroukhi, A Pautz… - Journal of Nuclear …, 2015 - Taylor & Francis
The “blackbox” approach of stochastic sampling (SS) methods for simultaneous nuclear data
uncertainty quantification is powerful except it reveals little of the individual uncertainty …

Uncertainty analyses with nuclear covariance data in reactor core calculations

W Zwermann, B Krzykacz-Hausmann… - Annual meeting on …, 2010 - inis.iaea.org
[en] Evaluated nuclear data are continuously improved. During the last years, the European
library was updated from JEF-2.2 to JEFF-3.1, the American library from ENDF/B-VI to …

Multi-physics and multi-scale benchmarking and uncertainty quantification within OECD/NEA framework

M Avramova, K Ivanov, T Kozlowski, I Pasichnyk… - Annals of Nuclear …, 2015 - Elsevier
The development of multi-physics multi-scale coupled methodologies for Light Water
Reactor (LWR) analysis requires comprehensive validation and verification procedures …

Inventory calculation and nuclear data uncertainty propagation on light water reactor fuel using ALEPH-2 and SCALE 6.2

L Fiorito, D Piedra, O Cabellos, CJ Diez - Annals of Nuclear Energy, 2015 - Elsevier
Two fuel assemblies, one belonging to the Takahama-3 PWR and the other to the
Fukushima-Daini-2 BWR, were modelled and the fuel irradiation was simulated with the …