๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

A Local Support-Operators Diffusion Discretization Scheme for Hexahedral Meshes

โœ Scribed by J.E. Morel; Michael L. Hall; Mikhail J. Shashkov


Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
270 KB
Volume
170
Category
Article
ISSN
0021-9991

No coin nor oath required. For personal study only.

โœฆ Synopsis


We derive a cell-centered 3-D diffusion differencing scheme for unstructured hexahedral meshes using the local support-operators method. Our method is said to be local because it yields a sparse matrix representation for the diffusion equation, whereas the traditional support-operators method yields a dense matrix representation. The diffusion discretization scheme that we have developed offers several advantages relative to existing schemes. Most importantly, it offers second-order accuracy on reasonably well-behaved nonsmooth meshes, rigorously treats material discontinuities, and has a symmetric positive-definite coefficient matrix. The order of accuracy is demonstrated computationally rather than theoretically. Rigorous treatment of material discontinuities implies that the normal component of the flux is continuous across such discontinuities while the parallel components may be either continuous or discontinuous in accordance with the exact solution to the problem being considered. The only disadvantage of the method is that it has both cell-centered and face-centered scalar unknowns as opposed to just cell-center scalar unknowns. Computational examples are given which demonstrate the accuracy and cost of the new scheme.


๐Ÿ“œ SIMILAR VOLUMES


A Local Support-Operators Diffusion Disc
โœ J.E. Morel; Randy M. Roberts; Mikhail J. Shashkov ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 341 KB

We derive a cell-centered 2-D diffusion differencing scheme for arbitrary quadrilateral meshes in r-z geometry using a local support-operators method. Our method is said to be local because it yields a sparse matrix representation for the diffusion equation, whereas the traditional support-operators