Global Sensitivity Analysis and Bayesian Calibration on a Series of Reflood Experiments with Varying Boundary Conditions-Reference-Cited by-同舟云学术

Global Sensitivity Analysis and Bayesian Calibration on a Series of Reflood Experiments with Varying Boundary Conditions

Published:2021-08-26 Issue: Volume: Page:1-12
ISSN:0029-5450
Container-title:Nuclear Technology
language:en
Short-container-title:Nuclear Technology

Author:

Perret Grégory¹^ORCID,Wicaksono Damar²,Clifford Ivor D.¹,Ferroukhi Hakim¹

Affiliation:

1. Paul Scherrer Institute, Laboratory for Reactor Physics and Thermal-hydraulics (LRT), 5232 Villigen, Switzerland

2. ETH Zurich, Safety and Uncertainty Quantification, Chair of Risk, Stefano-Franscini-Platz 5, 8093 Zürich, Switzerland

Funder

Swiss Nuclear Safety Inspectorate

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/00295450.2021.1936879

Reference28 articles.

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2. “PREMIUM: A Benchmark on the Quantification of the Uncertainty of the Physical Models in System Thermal-Hydraulic Codes Methodologies and Data Review,” NEA/CSNI/R(2016)9, Organisation for Economic Co-operation and Development/Nuclear Energy Agency (2016); www.oecd-nea.org (current as of Jan. 6, 2021).

3. D. WICAKSONO, “Bayesian Uncertainty Quantification of Physical Models in Thermal-Hydraulics System Codes,” PhD Thesis, Swiss Federal Institute of Technology, Lausanne; https://infoscience.epfl.ch/record/253113?ln=en (Feb 23, 2018).

4. Inverse uncertainty quantification using the modular Bayesian approach based on Gaussian Process, Part 2: Application to TRACE

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