Preliminary coupling of openmc and Nek5000 within the moose framework

A. Novak, P. Romano, B. Wendt, R. Rahaman, E. Merzari, L. Kerby, C. Permann, R. Martineau, R. N. Slaybaugh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

This paper presents a Monte Carlo-computational fluid dynamics coupling of OpenMC and Nek5000 within the MOOSE framework. This coupling specifically aims to address and overcome challenges encountered in earlier coupling works such as file-based communication and overly restrictive one-to-one mesh mappings between the codes. In addition, coupling within the MOOSE framework offers the possibility of relatively easy coupling to any other MOOSE application. The advantages of the coupling framework are illustrated with a simple pincell example; to demonstrate the ease of coupling to other MOOSE applications, a lightweight surrogate for BISON, called Buffalo, is used to solve for the nuclear fuel physics.

Original languageEnglish (US)
Title of host publicationInternational Conference on Physics of Reactors, PHYSOR 2018
Subtitle of host publicationReactor Physics Paving the Way Towards More Efficient Systems
PublisherSociedad Nuclear Mexicana, A.C.
Pages2162-2173
Number of pages12
ISBN (Electronic)9781713808510
StatePublished - 2018
Event2018 International Conference on Physics of Reactors: Reactor Physics Paving the Way Towards More Efficient Systems, PHYSOR 2018 - Cancun, Mexico
Duration: Apr 22 2018Apr 26 2018

Publication series

NameInternational Conference on Physics of Reactors, PHYSOR 2018: Reactor Physics Paving the Way Towards More Efficient Systems
VolumePart F168384-4

Conference

Conference2018 International Conference on Physics of Reactors: Reactor Physics Paving the Way Towards More Efficient Systems, PHYSOR 2018
Country/TerritoryMexico
CityCancun
Period4/22/184/26/18

All Science Journal Classification (ASJC) codes

  • Nuclear Energy and Engineering
  • Nuclear and High Energy Physics
  • Radiation
  • Safety, Risk, Reliability and Quality

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