TY - JOUR
T1 - Quantification of the uncertainty of the physical models in the system thermal-hydraulic codes
T2 - PREMIUM benchmark
AU - Skorek, Tomasz
AU - de Crécy, Agnès
AU - Kovtonyuk, Andriy
AU - Petruzzi, Alessandro
AU - Mendizábal, Rafael
AU - de Alfonso, Elsa
AU - Reventós, Francesc
AU - Freixa, Jordi
AU - Sarrette, Christine
AU - Kyncl, Milos
AU - Pernica, Rostislav
AU - Baccou, Jean
AU - Fouet, Fabrice
AU - Probst, Pierre
AU - Chung, Bub Dong
AU - Tram, Tran Tranh
AU - Oh, Deog Yeon
AU - Gusev, Alexey
AU - Falkov, Alexander
AU - Shvestov, Yuri
AU - Li, Dong
AU - Liu, Xiaojing
AU - Zhang, Jinzhao
AU - Alku, Torsti
AU - Kurki, Joona
AU - Jäger, Wadim
AU - Sánchez, Victor
AU - Wicaksono, Damar
AU - Zerkak, Omar
AU - Pautz, Andreas
N1 - Funding Information:
The authors are grateful to OECD/NEA for organizing the PREMIUM project, and to their respective organizations for supporting their participation in this project.
Publisher Copyright:
© 2019 Elsevier B.V.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019/12/1
Y1 - 2019/12/1
N2 - PREMIUM (Post BEMUSE Reflood Models Input Uncertainty Methods) was an activity launched with the aim of pushing forward the methods of quantification of physical model uncertainties in thermal-hydraulic codes. The benchmark PREMIUM was addressed to all who apply uncertainty evaluation methods based on input uncertainties quantification and propagation. The benchmark was based on a selected case of uncertainty analysis application to the simulation of quench front propagation in an experimental test facility. Applied to an experiment, enabled evaluation and confirmation of the quantified probability distribution functions on the basis of experimental data. The scope of the benchmark comprised a review of the existing methods, selection of potentially important uncertain input parameters, quantification of the ranges and distributions of the identified parameters using experimental results of tests performed on the FEBA test facility, verification of the performed quantification on the basis of tests performed at the FEBA test facility and validation on the basis of blind calculations of the Reflood 2-D PERICLES experiment. The benchmark has shown dependency of the results on the applied methodology and a strong user effect. The conclusion was that a systematic approach for the quantification of model uncertainties is necessary.
AB - PREMIUM (Post BEMUSE Reflood Models Input Uncertainty Methods) was an activity launched with the aim of pushing forward the methods of quantification of physical model uncertainties in thermal-hydraulic codes. The benchmark PREMIUM was addressed to all who apply uncertainty evaluation methods based on input uncertainties quantification and propagation. The benchmark was based on a selected case of uncertainty analysis application to the simulation of quench front propagation in an experimental test facility. Applied to an experiment, enabled evaluation and confirmation of the quantified probability distribution functions on the basis of experimental data. The scope of the benchmark comprised a review of the existing methods, selection of potentially important uncertain input parameters, quantification of the ranges and distributions of the identified parameters using experimental results of tests performed on the FEBA test facility, verification of the performed quantification on the basis of tests performed at the FEBA test facility and validation on the basis of blind calculations of the Reflood 2-D PERICLES experiment. The benchmark has shown dependency of the results on the applied methodology and a strong user effect. The conclusion was that a systematic approach for the quantification of model uncertainties is necessary.
KW - Combined effect tests
KW - Input uncertainties propagation
KW - Model uncertainties
KW - Thermal-hydraulic codes
KW - Uncertainties quantification
UR - http://www.scopus.com/inward/record.url?scp=85068575341&partnerID=8YFLogxK
U2 - 10.1016/j.nucengdes.2019.110199
DO - 10.1016/j.nucengdes.2019.110199
M3 - Article
AN - SCOPUS:85068575341
SN - 0029-5493
VL - 354
JO - Nuclear Engineering and Design
JF - Nuclear Engineering and Design
M1 - 110199
ER -