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

Journal Article · Thu Oct 01 04:00:00 EDT 2009 · Nuclear Engineering and Design

DOI:https://doi.org/10.1016/j.nucengdes.2009.05.021· OSTI ID:968552

Gaston, Derek; Newman, Chris; Hansen, Glen; Lebrun-Grandie, Damien

Systems of coupled, nonlinear partial differential equations (PDEs) often arise in simulation of nuclear processes. MOOSE: Multiphysics Object Oriented Simulation Environment, a parallel computational framework targeted at the solution of such systems, is presented. As opposed to traditional data-flow oriented computational frameworks, MOOSE is instead founded on the mathematical principle of Jacobian-free Newton-Krylov (JFNK) solution methods. Utilizing the mathematical structure present in JFNK, physics expressions are modularized into `Kernels,'' allowing for rapid production of new simulation tools. In addition, systems are solved implicitly and fully coupled, employing physics based preconditioning, which provides great flexibility even with large variance in time scales. A summary of the mathematics, an overview of the structure of MOOSE, and several representative solutions from applications built on the framework are presented.

• Research Organization: Idaho National Laboratory (INL)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC07-05ID14517
• OSTI ID: 968552
• Report Number(s): INL/JOU-08-15120
• Journal Information: Nuclear Engineering and Design, Journal Name: Nuclear Engineering and Design Journal Issue: 10 Vol. 239; ISSN NEDEAU; ISSN 0029-5493
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING
FLEXIBILITY
KERNELS
PARTIAL DIFFERENTIAL EQUATIONS
PHYSICS
PRODUCTION
SIMULATION
finite element
framework
fully coupled
fully implicit
libMesh
multiphysics
nonlinear