DocumentCode
2183766
Title
Flow field clustering via algebraic multigrid
Author
Griebel, M. ; Preusser, T. ; Rumpf, M. ; Schweitzer, M.A. ; Telea, A.
Author_Institution
Inst. for Numerical Simulation, Bonn Univ., Germany
fYear
2004
fDate
10-15 Oct. 2004
Firstpage
35
Lastpage
42
Abstract
We present a novel multiscale approach for flow visualization. We define a local alignment tensor that encodes a measure for alignment to the direction of a given flow field. This tensor induces an anisotropic differential operator on the flow domain, which is discretized with a standard finite element technique. The entries of the corresponding stiffness matrix represent the anisotropically weighted couplings of adjacent nodes of the domain mesh. We use an algebraic multigrid algorithm to generate a hierarchy of fine to coarse descriptions for the above coupling data. This hierarchy comprises a set of coarse grid nodes, a multiscale of basis functions and their corresponding supports. We use these supports to obtain a multilevel decomposition of the flow structure. Standard streamline icons are used to visualize this decomposition at any user-selected level of detail. The method provides a single framework for vector field decomposition independent on the domain dimension or mesh type. Applications are shown in 2D, for flow fields on curved surfaces, and for 3D volumetric flow fields.
Keywords
data visualisation; differential equations; flow visualisation; image texture; matrix algebra; mesh generation; tensors; 3D volumetric flow fields; algebraic multigrid algorithm; anisotropic differential operator; finite element technique; flow structure decomposition; flow visualization; local alignment tensor; stiffness matrix; streamline icons; vector field decomposition; Anisotropic magnetoresistance; Computational modeling; Convolution; Data flow computing; Data visualization; Finite element methods; Fluid flow measurement; Hardware; Statistics; Tensile stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Visualization, 2004. IEEE
Print_ISBN
0-7803-8788-0
Type
conf
DOI
10.1109/VISUAL.2004.32
Filename
1372177
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