A data-driven framework for error estimation and mesh-model optimization in system-level thermal-hydraulic simulation-Reference-Cited by-同舟云学术

A data-driven framework for error estimation and mesh-model optimization in system-level thermal-hydraulic simulation

Published:2019-08 Issue: Volume:349 Page:27-45
ISSN:0029-5493
Container-title:Nuclear Engineering and Design
language:en
Short-container-title:Nuclear Engineering and Design

Author:

Bao Han^ORCID,Dinh Nam T.,Lane Jeffrey W.,Youngblood Robert W.

Funder

Idaho National Laboratory

NUC

INL

LDRD

DOE

U.S. Department of Energy

Electric Power Research Institute

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

Reference40 articles.

1. Development of data-driven mesh-model optimization in system thermal-hydraulic simulation;Bao,2018

2. Simulation of BWR mark I station black-out accident using GOTHIC: an initial demonstration;Bao,2015

3. A study of BWR mark I station blackout accident with GOTHIC modeling;Bao,2016

4. Safe reactor depressurization windows for BWR mark I station blackout accident management strategy;Bao;Ann. Nucl. Energy,2018

5. Study of data-driven mesh-model optimization in system thermal-hydraulic simulation;Bao,2018

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