A comprehensive survey of inverse uncertainty quantification of physical model parameters in nuclear system thermal–hydraulics codes

X Wu, Z Xie, F Alsafadi, T Kozlowski - Nuclear Engineering and Design, 2021 - Elsevier
Uncertainty Quantification (UQ) is an essential step in computational model validation
because assessment of the model accuracy requires a concrete, quantifiable measure of …

Are flood damage models converging to “reality”? Lessons learnt from a blind test

D Molinari, AR Scorzini, C Arrighi… - … Hazards and Earth …, 2020 - nhess.copernicus.org
Effective flood risk management requires a realistic estimation of flood losses. However,
available flood damage estimates are still characterized by significant levels of uncertainty …

Scalable inverse uncertainty quantification by hierarchical bayesian modeling and variational inference

C Wang, X Wu, Z Xie, T Kozlowski - Energies, 2023 - mdpi.com
Inverse Uncertainty Quantification (IUQ) has gained increasing attention in the field of
nuclear engineering, especially nuclear thermal-hydraulics (TH), where it serves as an …

A comprehensive Bayesian framework for the development, validation and uncertainty quantification of thermal-hydraulic models

R Cocci, G Damblin, A Ghione, L Sargentini… - Annals of Nuclear …, 2022 - Elsevier
The development, validation and uncertainty quantification of closure laws used into thermal–
hydraulic system codes is a key issue before applying the BEPU (Best Estimate Plus …

Analysis of the natural circulation flow map uncertainties in an integral small modular reactor

SA Hosseini, R Akbari, AS Shirani, F D'Auria - Nuclear Engineering and …, 2021 - Elsevier
The understanding of the Natural Circulation (NC) mechanism and its flow regimes can be
considered as a help to achieve a higher safety level and lower costs by reliance on this …

Towards improving the predictive capability of computer simulations by integrating inverse Uncertainty Quantification and quantitative validation with Bayesian …

Z Xie, F Alsafadi, X Wu - Nuclear Engineering and Design, 2021 - Elsevier
Abstract The Best Estimate plus Uncertainty (BEPU) approach for nuclear systems modeling
and simulation requires that the prediction uncertainty must be quantified in order to prove …

Extension of the CIRCE methodology to improve the Inverse Uncertainty Quantification of several combined thermal-hydraulic models

R Cocci, G Damblin, A Ghione, L Sargentini… - Nuclear Engineering and …, 2022 - Elsevier
Abstract The Inverse Uncertainty Quantification (IUQ) of physical correlations used in
thermal-hydraulic system codes is a crucial issue in the BEPU (Best Estimate Plus …

Bayesian inference and non-linear extensions of the CIRCE method for quantifying the uncertainty of closure relationships integrated into thermal-hydraulic system …

G Damblin, P Gaillard - Nuclear Engineering and Design, 2020 - Elsevier
Uncertainty Quantification of closure relationships integrated into thermal-hydraulic system
codes is a critical prerequisite in applying the Best-Estimate Plus Uncertainty (BEPU) …

Comparison of inverse uncertainty quantification methods for critical flow test

P Domitr, M Włostowski, R Laskowski, R Jurkowski - Energy, 2023 - Elsevier
A problem of epistemic uncertainties introduced by code input parameters that cannot be
estimated other than by user expertise has existed in nuclear reactor systems analyses …

Spanish contribution to the development and application of best estimate plus uncertainty methodologies: Past, present and future

J Freixa, T Barrachina, C Berna, R Bocanegra… - … Engineering and Design, 2024 - Elsevier
Abstract Best-Estimate Plus Uncertainty (BEPU) nuclear safety analysis is an approach
widely used in the field of nuclear engineering and reactor safety assessment. It aims to …