Chapter 4 Vortex detection - Computer Graphics and Visualization
Chapter 4 Vortex detection - Computer Graphics and Visualization
Chapter 4 Vortex detection - Computer Graphics and Visualization
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3.2 Particle tracing in curvilinear grids<br />
3.2.1 Curvilinear grids<br />
3.2. Particle tracing in curvilinear grids<br />
In practice, many CFD applications do not use uniform grids, but structured curvilinear<br />
grids, consisting of deformed, hexahedral cells, with curved faces (see also Section 2.1).<br />
An advantage of curvilinear grids is their ability to conform to the shape of curved<br />
or complex geometries, such as airplane wings <strong>and</strong> coast lines. Another advantage<br />
is their regular topological structure, so the cells <strong>and</strong> data are addressable through indices<br />
( . A disadvantage of these grids is that algorithms working in them become<br />
more complex, because the cells are no longer cubes. Figure 3.1 shows an example of a<br />
curvilinear grid. More information about this grid <strong>and</strong> the corresponding data set are<br />
given in Section 3.5.1.<br />
Figure 3.1: Curvilinear grid of a 3D Backward-Facing Step (see Section 3.5.1)<br />
A strategy often applied in many CFD simulation systems works by transforming<br />
the curvilinear grid to a uniform rectilinear grid in a new domain. The grid <strong>and</strong> data,<br />
which are typically specified in the ‘normal’ domain called physical space, or P-space,<br />
are then transformed to a new domain called computational space, or-space. The integration<br />
steps are done in -space, <strong>and</strong> the resulting positions are transformed back<br />
to È-space. Unfortunately, for particle tracing algorithms, this method often leads to<br />
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