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It helps to generate finite element triangular grid in tecplot format (.dat).
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It's easy to read such a grid from tecplot (.dat) file.
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Works for a multizone grids.
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Able to merge multizone grids and write them as a single grid.
pip install triangular-grid-merge
The main advantage is that with tgm it's easy to read tecplot (.dat) format with multizone triangular grid inside and connect zones basing on the coordinates of the nodes.
To create a grid
from triangular_grid_merge.grid import Grid
In order to initialize the grid with elements use:
grid.init(4, 5, (0, 60), (0, 100))
The code above creates a grid with 4 points by x-axis and 5 point by y-axis.
The points are distributed inside the rectangular given by the 2 points - (x1, x2) (y1, y2)
The area is devided according to the number of points by each axis.
To print the grid inside the tgm's grids directory, use
from triangular_grid_merge.tecplot import print_tecplot
print_tecplot(grid, 'name.dat')
If the grid is multizone you can print it as a single zone giving:
print_tecplot(grid, 'name.dat', merge=True)
To read a grid. use
from triangular_grid_merge.tecplot import read_tecplot
read_tecplot(grid, 'name.dat')
Triangular grid is the one where each face is set by three nodes. It consists of nodes, faces and edges.
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All nodes from zone 1 are copied into grid.Nodes.
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Nodes from other zones are consistentely compared with nodes from grid.Nodes by x, y coordinates and if the correspondence is found, the new node starts to point to the object of the node in grid.Nodes.
Now only one algorithm is used, but other more rapid methods for finding the nodes are in progress.