MOOSE: A PARALLEL COMPUTATIONAL FRAMEWORK FOR COUPLED SYSTEMS OF NONLINEAR EQUATIONS.

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Systems of coupled, nonlinear partial di?erential equations often arise in sim- ulation of nuclear processes. MOOSE: Multiphysics Ob ject Oriented Simulation Environment, a parallel computational framework targeted at solving these systems is presented. As opposed to traditional data / ?ow oriented com- putational frameworks, MOOSE is instead founded on mathematics based on Jacobian-free Newton Krylov (JFNK). Utilizing the mathematical structure present in JFNK, physics are modularized into “Kernels” allowing for rapid production of new simulation tools. In addition, systems are solved fully cou- pled and fully implicit employing physics based preconditioning allowing for a large amount of ?exibility even with ... continued below

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Hansen, G.; Newman, C. & Gaston, D. May 1, 2009.

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Systems of coupled, nonlinear partial di?erential equations often arise in sim- ulation of nuclear processes. MOOSE: Multiphysics Ob ject Oriented Simulation Environment, a parallel computational framework targeted at solving these systems is presented. As opposed to traditional data / ?ow oriented com- putational frameworks, MOOSE is instead founded on mathematics based on Jacobian-free Newton Krylov (JFNK). Utilizing the mathematical structure present in JFNK, physics are modularized into “Kernels” allowing for rapid production of new simulation tools. In addition, systems are solved fully cou- pled and fully implicit employing physics based preconditioning allowing for a large amount of ?exibility even with large variance in time scales. Background on the mathematics, an inspection of the structure of MOOSE and several rep- resentative solutions from applications built on the framework are presented.

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  • 2009 International Conference on Advances in Mathematics, Computational Methods, and Reactor Physics,Saratoga Springs, New York,05/03/2009,05/07/2009

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  • Report No.: INL/CON-08-15008
  • Grant Number: DE-AC07-99ID-13727
  • Office of Scientific & Technical Information Report Number: 966175
  • Archival Resource Key: ark:/67531/metadc933168

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  • May 1, 2009

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  • Nov. 13, 2016, 7:26 p.m.

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  • Jan. 4, 2017, 2:22 p.m.

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Hansen, G.; Newman, C. & Gaston, D. MOOSE: A PARALLEL COMPUTATIONAL FRAMEWORK FOR COUPLED SYSTEMS OF NONLINEAR EQUATIONS., article, May 1, 2009; [Idaho]. (digital.library.unt.edu/ark:/67531/metadc933168/: accessed October 15, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.