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Module category: Obsolete
TetraTrace performs computation of particle tracks inside tetrahedra-only grids. It therefore uses a runge-kutta 4th-order numerical integration method with adaptive stepsize.
Note:
Module obsolete - kept for compatibility with 5.1 only, but support discontinued - use Tracer (new with 5.2) instead!
Some precomputation (see Examples) is required in order to be capable of handling larger datasets near real-time.
Notes:
Name | Type | Description |
startpoint1 | Vector | Start point of a line or of a quads diagonal |
startpoint2 | Vector | End point of a line or of a quads diagonal |
normal | Vector | normal of the quad |
direction | Vector | vector describing the direction of one edge of the quad (see figure) |
numStart | Scalar | number of particles to trace |
startStep | Scalar | if transient grid/Data: in which step should the traces start |
whatOut | Choice | select which data to output: number, velocity, magnitude; currently only velocity and magnitude are supported |
startStyle | Choice | how should the particles start positions be arranged:
|
traceStyle | Choice | How should the particle traces be represented: currently only points is implemented and any other selection will also result in points |
numSteps | Scalar | Number of steps to compute. If tracing on transient grid/data this number representsd the number of complete cycles traced. So if you have a non-cyclic data-set you should set this to 1 |
stepDuration | Scalar | stationary: how long should a particle be traced in each
step
transient: what time does one timestep represent |
numNodes | Scalar | number of nodes/processors to be used for multiprocessing |
multiProcMode | Choice | Select your machines multiprocessing-mode: currently only SGI-MP is supported, selecting Workstation results in single-processing (default) |
searchMode | Choice | quick is really quick while save is pretty slow but will not run into problems if using grids with holes. Unless you are using pretty weired grids you shouldn't use/need the save-mode. |
|
Name | Type | Description |
requiredgrinIn | DO_UnstructuredGrid | Unstructured grid with solely tetrahedra-cells |
requiredvelIn | DO_Vec3 | velocity on the grid nodes |
requiredvolIn | DO_Float | precomputed cell-volumes (use TetraVolume) |
requiredneighborIn | DO_Float | special neighborlist (with side-to-side and time neighborship information (output of TetraNeighbor) |
|
Name | Type | Description |
outputtraceOut | DO_Points DO_Polygons DO_Lines DO_TriangleStrips | representation of the computed particle-traces in the desired form |
outputdataOut | DO_Float DO_Vec3 | the data mapped on the traces |
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You have to use this pipeline in order to use TetraTrace with a mixed-celltype unstructured grid. Note that you should save the results from Tetrahedronize, TetraVolume and TetraNeighbor so you don't have to recompute them. TetraNeighbor will go multi-processing (10 nodes) to speed up the process. Still TetraNeighbor is the slowest step in this pipeline.
Because no suitable (fast enough) algorithm for determining time-neighborship has yet been found those will be computed by TetraTrace (for the passed cells only) in real-time.
Tetrahedronize requires the grid on the first port and the per-vertex velocity-data on the second. You should not change Tetrahedronize's parameter because that feature has not been heavily tested and might result in non-sense output.
Authors: Martin Aumüller, Ruth Lang, Daniela Rainer, Jürgen Schulze-Döbold, Andreas Werner, Peter Wolf, Uwe Wössner |
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