Parallel algorithms and software for nuclear, energy, and environmental applications. Part II: Multiphysics software

Derek Gaston, Luanjing Guo, Glen Hansen, Hai Huang, Richard Johnson, Dana Knoll, Chris Newman, Hyeong Kae Park, Robert Podgorney, Michael Tonks, Richard Williamson

Research output: Contribution to journalArticle

9 Scopus citations

Abstract

This paper is the second part of a two part sequence on multiphysics algorithms and software. The first [1] focused on the algorithms; this part treats the multiphysics software framework and applications based on it. Tight coupling is typically designed into the analysis application at inception, as such an application is strongly tied to a composite nonlinear solver that arrives at the final solution by treating all equations simultaneously. The applicationmust also take care tominimize both time and space error between the physics, particularly if more than one mesh representation is needed in the solution process. This paper presents an application framework that was specifically designed to support tightly coupled multiphysics analysis. The Multiphysics Object Oriented Simulation Environment (MOOSE) is based on the Jacobian-freeNewton-Krylov (JFNK) method combined with physics-based preconditioning to provide the underlying mathematical structure for applications. The report concludes with the presentation of a host of nuclear, energy, and environmental applications that demonstrate the efficacy of the approach and the utility of a well-designed multiphysics framework.

Original languageEnglish (US)
Pages (from-to)834-865
Number of pages32
JournalCommunications in Computational Physics
Volume12
Issue number3
DOIs
StatePublished - Sep 1 2012

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy (miscellaneous)

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    Gaston, D., Guo, L., Hansen, G., Huang, H., Johnson, R., Knoll, D., Newman, C., Park, H. K., Podgorney, R., Tonks, M., & Williamson, R. (2012). Parallel algorithms and software for nuclear, energy, and environmental applications. Part II: Multiphysics software. Communications in Computational Physics, 12(3), 834-865. https://doi.org/10.4208/cicp.091010.150711s