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Parallel Algorithms and Software for Nuclear, Energy, and Environmental Applications. Part II: Multiphysics Software

Published online by Cambridge University Press:  20 August 2015

Derek Gaston ,
Luanjing Guo ,
Glen Hansen ,
Hai Huang ,
Richard Johnson ,
Dana Knoll ,
Chris Newman ,
Hyeong Kae Park ,
Robert Podgorney  and
Michael Tonks
...Show all authors
Derek Gaston*
Affiliation:
Nuclear Science and Technology, Idaho National Laboratory, Idaho Falls, ID 83415, USA
Luanjing Guo*
Affiliation:
Energy and Environment Science and Technology, Idaho National Laboratory, Idaho Falls, ID 83415, USA
Glen Hansen*
Affiliation:
Multiphysics Simulation Technologies Dept. (1444), Sandia National Laboratories, Albuquerque, NM 87185, USA
Hai Huang*
Affiliation:
Energy and Environment Science and Technology, Idaho National Laboratory, Idaho Falls, ID 83415, USA
Richard Johnson*
Affiliation:
Nuclear Science and Technology, Idaho National Laboratory, Idaho Falls, ID 83415, USA
Dana Knoll*
Affiliation:
Fluid Dynamics and Solid Mechanics Group (T-3), Los Alamos National Laboratory, Los Alamos, NM 87545, USA
Chris Newman*
Affiliation:
Fluid Dynamics and Solid Mechanics Group (T-3), Los Alamos National Laboratory, Los Alamos, NM 87545, USA
Hyeong Kae Park*
Affiliation:
Fluid Dynamics and Solid Mechanics Group (T-3), Los Alamos National Laboratory, Los Alamos, NM 87545, USA
Robert Podgorney*
Affiliation:
Energy and Environment Science and Technology, Idaho National Laboratory, Idaho Falls, ID 83415, USA
Michael Tonks*
Affiliation:
Nuclear Science and Technology, Idaho National Laboratory, Idaho Falls, ID 83415, USA
Richard Williamson*
Affiliation:
Nuclear Science and Technology, Idaho National Laboratory, Idaho Falls, ID 83415, USA
*
Email:[email protected]
Email:[email protected]
Corresponding author.Email:[email protected]
Email:[email protected]
Email:[email protected]
Email:[email protected]
Email:[email protected]
Email:[email protected]
Email:[email protected]
Email:[email protected]
Email:[email protected]
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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 application must also take care to minimize 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-free Newton-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.

Keywords

65M1265M6065Y0565Z0565H10Multiphysics simulationJacobian-free Newton Krylovfinite element applicationsphysics-based preconditioning
Type
Research Article
Information
Communications in Computational Physics , Volume 12 , Issue 3 , September 2012 , pp. 834 - 865
Copyright
Copyright © Global Science Press Limited 2012

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