@Article{CiCP-12-807,
author = {Derek Gaston, Luanjing Guo, Glen Hansen, Hai Huang, Richard Johnson, Dana Knoll, Chris Newman, Hyeong Kae Park, Robert Podgorney, Michael Tonks and Richard Williamson},
title = {Parallel Algorithms and Software for Nuclear, Energy, and Environmental Applications Part I: Multiphysics Algorithms},
journal = {Communications in Computational Physics},
year = {2012},
volume = {12},
number = {3},
pages = {807--833},
abstract = {<p style="text-align: justify;">There is a growing trend within energy and environmental simulation to
consider tightly coupled solutions to multiphysics problems. This can be seen in nuclear reactor analysis where analysts are interested in coupled flow, heat transfer and
neutronics, and in nuclear fuel performance simulation where analysts are interested
in thermomechanics with contact coupled to species transport and chemistry. In energy and environmental applications, energy extraction involves geomechanics, flow
through porous media and fractured formations, adding heat transport for enhanced
oil recovery and geothermal applications, and adding reactive transport in the case of
applications modeling the underground flow of contaminants. These more ambitious
simulations usually motivate some level of parallel computing. Many of the physics
coupling efforts to date utilize simple code coupling or first-order operator splitting,
often referred to as loose coupling. While these approaches can produce answers, they
usually leave questions of accuracy and stability unanswered. Additionally, the different physics often reside on distinct meshes and data are coupled via simple interpolation, again leaving open questions of stability and accuracy.</p>},
issn = {1991-7120},
doi = {https://doi.org/10.4208/cicp.091010.140711s},
url = {http://global-sci.org/intro/article_detail/cicp/7315.html}
}