Physics-based multiscale coupling for full core nuclear reactor simulation

Derek R. Gaston, Cody J. Permann, John W. Peterson, Andrew E. Slaughter, David Andrš, Yaqi Wang, Michael P. Short, Danielle M. Perez, Michael R. Tonks, Javier Ortensi, Ling Zou, Richard C. Martineau

    Research output: Contribution to journalArticlepeer-review

    218 Scopus citations


    Numerical simulation of nuclear reactors is a key technology in the quest for improvements in efficiency, safety, and reliability of both existing and future reactor designs. Historically, simulation of an entire reactor was accomplished by linking together multiple existing codes that each simulated a subset of the relevant multiphysics phenomena. Recent advances in the MOOSE (Multiphysics Object Oriented Simulation Environment) framework have enabled a new approach: multiple domain-specific applications, all built on the same software framework, are efficiently linked to create a cohesive application. This is accomplished with a flexible coupling capability that allows for a variety of different data exchanges to occur simultaneously on high performance parallel computational hardware. Examples based on the KAIST-3A benchmark core, as well as a simplified Westinghouse AP-1000 configuration, demonstrate the power of this new framework for tackling - in a coupled, multiscale manner - crucial reactor phenomena such as CRUD-induced power shift and fuel shuffle.

    Original languageEnglish (US)
    Pages (from-to)45-54
    Number of pages10
    JournalAnnals of Nuclear Energy
    StatePublished - Jul 28 2015

    All Science Journal Classification (ASJC) codes

    • Nuclear Energy and Engineering


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