Development of a Pragmatic Approach to Model Input Uncertainty Quantification for BEPU Applications-Reference-Cited by-同舟云学术

Development of a Pragmatic Approach to Model Input Uncertainty Quantification for BEPU Applications

Published:2018-10-16 Issue:1-2 Volume:205 Page:140-152
ISSN:0029-5450
Container-title:Nuclear Technology
language:en
Short-container-title:Nuclear Technology

Author:

Zhang Jinzhao¹^ORCID,Dethioux Adrien¹,Kovtonyuk Andriy¹,Schneidesch Christophe¹

Affiliation:

1. Tractebel (ENGIE), Boulevard Simon Bolivar 34-36, Brussels, Belgium

Publisher

Informa UK Limited

Subject

Condensed Matter Physics,Nuclear Energy and Engineering,Nuclear and High Energy Physics

Link

https://www.tandfonline.com/doi/pdf/10.1080/00295450.2018.1516055

Reference17 articles.

1. Statistical aspects of best estimate method—I

2. GRS Method for Uncertainty and Sensitivity Evaluation of Code Results and Applications

3. AREVA's realistic large break LOCA analysis methodology

4. H. GLAESER et al. “BEMUSE Phase VI Report, Status Report on the Area, Classification of the Methods, Conclusions and Recommendations,” NEA/CSNI/R(2011)4, Organisation for Economic Co-operation and Development/ Nuclear Energy Agency Committee on the Safety of Nuclear Installations (Dec. 2011).

Cited by 15 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. Foreword for Special Issue NFT-02: Outcomes and achievements from researches orienting the future of Nuclear Fission Technology in Belgium;Nuclear Engineering and Design;2024-11

2. Functional PCA and deep neural networks-based Bayesian inverse uncertainty quantification with transient experimental data;Computer Methods in Applied Mechanics and Engineering;2024-02

3. Review of Uncertainty Research in Reactor Multi-Physics Coupling Calculation;Nuclear Science and Technology;2024

4. Uncertainty Quantification for Multiphase Computational Fluid Dynamics Closure Relations with a Physics-Informed Bayesian Approach;Nuclear Technology;2023-02-16

5. Monte Carlo calculation and similarity evaluation for verification of influential uncertainty parameters to LBLOCA derived by statistical methods;Annals of Nuclear Energy;2022-12