LINEAR SOURCES FOR MESH GENERATION

被引:12
|
作者
Aubry, R. [1 ]
Karamete, K. [1 ]
Mestreau, E. [1 ]
Dey, S. [2 ]
Loehner, R. [3 ]
机构
[1] Sotera Def Solut, Mclean, VA 22102 USA
[2] USN, Res Lab, Washington, DC 20375 USA
[3] George Mason Univ, Dept Computat & Data Sci, Coll Sci, CFD Ctr, Fairfax, VA 22030 USA
来源
SIAM JOURNAL ON SCIENTIFIC COMPUTING | 2013年 / 35卷 / 02期
关键词
mesh generation; size distribution; sources sizing function; background grid; curvature refinement; lower envelope diagram; TRIANGULATION;
D O I
10.1137/120874953
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Sources offer a convenient way to prescribe a size distribution in space. For each newly created mesh point, the mesh generator queries the local size distribution, either to create a new point or element, depending on the underlying mesh generation method, to smooth the mesh, or to get a local relevant length scale. Sources may have different shapes such as points, edges, triangles, or boxes. They provide the size distribution given some user defined parameters and the distance of a point location to the source. Traditionally, the source strength is considered as constant. In this work, extensions to linear sources in space are proposed. It is shown that in the case of curvature refined mesh generation, substantial savings may occur due to the much better approximation of the curvature variation for a simple modification of traditional sources. Even though curvature refinement is the main application of this work, improvements through linear sources are relevant to other contexts such as user defined sources. The technique is very general as it deals with a fundamental aspect of mesh generation and can be easily incorporated into an existing mesh generator with traditional sources. Thorough details of source approximations and source filtering are provided. Relations with lower envelopes are highlighted. Practical examples illustrate the accuracy and efficiency of the method.
引用
收藏
页码:A886 / A907
页数:22
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