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Truncation Error for Finite Volume Approximations on Unstructured Grids
by
C. Wayne Mastin
University of Alabama at Birmingham
This presentation will examine the effect of grid properties on the truncation error in finite volume approximations on unstructured grids. Such properties as nonuniformity in grid point spacing and grid quality can reduce the formal order of approximation. The study includes both two and three-dimensional grids and applies to tetrahedral, prismatic, and hexahedral cells. These results should further motivate the need for examining grid quality in all computational simulations.
Date received: March 31, 2009
Copyright © 2009 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # cayt-10.