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

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

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.

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. 807 - 833
Copyright
Copyright © Global Science Press Limited 2012

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