Quantification of the uncertainty of the physical models in the system thermal-hydraulic codes – PREMIUM benchmark-Reference-Cited by-同舟云学术

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

Published:2019-12 Issue: Volume:354 Page:110199
ISSN:0029-5493
Container-title:Nuclear Engineering and Design
language:en
Short-container-title:Nuclear Engineering and Design

Author:

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

Publisher

Elsevier BV

Subject

Mechanical Engineering,Waste Management and Disposal,Safety, Risk, Reliability and Quality,General Materials Science,Nuclear Energy and Engineering,Nuclear and High Energy Physics

Reference20 articles.

1. SAPIUM: A systematic approach for Input uncertainty Quantification;Baccou,2018

2. Best-estimate model calibration and prediction through experimental data assimilation – I: mathematical framework;Cacuci;Nucl. Sci. Eng.,2010

3. Description of the IPSN method for the uncertainty and sensitivity analysis and the associated software: SUNSET;Chojnacki;Proc. ASME/JSME, ICONE, Louisiana, USA,1996

4. Study on two-dimensional effects in the core of a light water reactor during the ECC’s phase following a loss of coolant accident;Deruaz;Nucl. Sci. Technol. Series Rep.,1985

5. Determination of the uncertainties of the constitutive relationships of the CATHARE 2 code;de Crécy,2001

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Numerical investigation of the maximum temperature zone for liquid–vapour flow during reflooding;Annals of Nuclear Energy;2024-04

2. Spanish contribution to the development and application of best estimate plus uncertainty methodologies: Past, present and future;Nuclear Engineering and Design;2024-02

3. Inverse uncertainty quantification based on the modular Bayesian approach;Risk-Informed Methods and Applications in Nuclear and Energy Engineering;2024

4. Scalable Inverse Uncertainty Quantification by Hierarchical Bayesian Modeling and Variational Inference;Energies;2023-11-20

5. Comparison of inverse uncertainty quantification methods for critical flow test;Energy;2023-01