@Article{CiCP-12-3,
author = {},
title = {Parallel Algorithms and Software for Nuclear, Energy, and Environmental Applications Part II: Multiphysics Software},
journal = {Communications in Computational Physics},
year = {2012},
volume = {12},
number = {3},
pages = {834--865},
abstract = {<p style="text-align: justify;">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.</p>},
issn = {1991-7120},
doi = {https://doi.org/10.4208/cicp.091010.150711s},
url = {https://global-sci.com/article/80800/parallel-algorithms-and-software-for-nuclear-energy-and-environmental-applications-part-ii-multiphysics-software}
}