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  4. Imposing jump conditions on nonconforming interfaces for the Correction Function Method: A least squares approach

Imposing jump conditions on nonconforming interfaces for the Correction Function Method: A least squares approach

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sword-2019-11-19T19:00:09.original.xml (130 B)
Original SWORD entry document
Author(s)
Marques, Alexandre N.
•
Rosales, Rodolfo
Date Issued
November 2019
Journal
Journal of computational physics
Publisher
Elsevier BV
Citation
Marques, Alexandre Noll, Jean-Christophe Nave and Rodolfo Ruben Rosales. “Imposing jump conditions on nonconforming interfaces for the Correction Function Method: A least squares approach.” Journal of computational physics, vol. 397, 2019, article 108869 © 2019 The Author(s)
Version
Original manuscript
Abstract
We introduce a technique that simplifies the problem of imposing jump conditions on interfaces that are not aligned with a computational grid in the context of the Correction Function Method (CFM). The CFM offers a general framework to solve Poisson's equation in the presence of discontinuities to high order of accuracy, while using a compact discretization stencil. A key concept behind the CFM is enforcing the jump conditions in a least squares sense. This concept requires computing integrals over sections of the interface, which is a challenge in 3-D when only an implicit representation of the interface is available (e.g., the zero contour of a level set function). The technique introduced here is based on a new formulation of the least squares procedure that relies only on integrals over domains that are amenable to simple quadrature after local coordinate transformations. We incorporate this technique into a fourth order accurate implementation of the CFM, and show examples of solutions to Poisson's equation with imposed jump conditions computed in 2-D and 3-D.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Massachusetts Institute of Technology. Department of Mathematics
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
http://creativecommons.org/licenses/by-nc-nd/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/126700
DOI of Published Version
https://doi.org/10.1016/j.jcp.2019.108869
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