Enhancing Monte Carlo Workflows for Nuclear Reactor Analysis with Metamodel-Driven Modeling-Reference-Cited by-同舟云学术

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Enhancing Monte Carlo Workflows for Nuclear Reactor Analysis with Metamodel-Driven Modeling

Published:2023-02-08 Issue:8 Volume:197 Page:1600-1620
ISSN:0029-5639
Container-title:Nuclear Science and Engineering
language:en
Short-container-title:Nuclear Science and Engineering

Author:

Kowal Peter J.¹,Blake Camden E.¹,Dominesey Kurt A.¹,Lefebvre Robert A.²,Brown Forrest B.³,Ji Wei¹^ORCID

Affiliation:

1. Rensselaer Polytechnic Institute, Department of Mechanical, Aerospace, and Nuclear Engineering, 110 8th Street, Troy, New York 12180

2. Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, Tennessee 37830

3. University of New Mexico, Nuclear Engineering Department, 1155 University Boulevard, SE Albuquerque, New Mexico 87106

Funder

Nuclear Energy University Program

U.S. Nuclear Regulatory Commission

Publisher

Informa UK Limited

Subject

Nuclear Energy and Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00295639.2022.2153617

Reference29 articles.

1. MOOSE: A parallel computational framework for coupled systems of nonlinear equations

2. NEAMS Workbench Status and Capabilities

3. “NRC Non-Light Water Reactor (Non-LWR) Vision and Strategy, Volume 1—Computer Code Suite for Non-LWR Plant Systems Analysis,” U.S. Nuclear Regulatory Commission (2018).

4. Coupling of system thermal–hydraulics and Monte-Carlo code: Convergence criteria and quantification of correlation between statistical uncertainty and coupled error

5. Coupling of dynamic Monte Carlo with thermal-hydraulic feedback

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