Quantification of the uncertainty of the physical models in the system thermal-hydraulic codes: PREMIUM benchmark

Tomasz Skorek (Corresponding Author), Agnès de Crécy, Andriy Kovtonyuk, Alessandro Petruzzi, Rafael Mendizábal, Elsa de Alfonso, Francesc Reventós, Jordi Freixa, Christine Sarrette, Milos Kyncl, Rostislav Pernica, Jean Baccou, Fabrice Fouet, Pierre Probst, Bub Dong Chung, Tran Tranh Tram, Deog Yeon Oh, Alexey Gusev, Alexander Falkov, Yuri ShvestovDong Li, Xiaojing Liu, Jinzhao Zhang, Torsti Alku, Joona Kurki, Wadim Jäger, Victor Sánchez, Damar Wicaksono, Omar Zerkak, Andreas Pautz

    Research output: Contribution to journalArticleScientificpeer-review

    6 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Article number110199
    JournalNuclear Engineering and Design
    Volume354
    DOIs
    Publication statusPublished - 1 Dec 2019
    MoE publication typeA1 Journal article-refereed

    Keywords

    • Combined effect tests
    • Input uncertainties propagation
    • Model uncertainties
    • Thermal-hydraulic codes
    • Uncertainties quantification

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