A Python interface for Set Voronoi Tessellation of poly-superellipsoids and general point clouds from irregular particles, where the kenerl is written in C++.
PySetVoronoi is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
PySetVoronoi is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with the code. If not, see http://www.gnu.org/licenses/.
Note: The source codes of the thirdparty libraries (Eigen, Voro++, Pybind11) have been presented here, and their licenses are distributed with the source codes.
- Voronoi tesselatio of particles with arbitrary shapes
- Basic geometric info of individual cells
- Common Minkowski tensors for cell shape
- Support vtk and pov files for individual cells
- Support parallel computation with OpenMP
- Easy setting in Python
- Windows
- Linux
- Mac
import sys,os,os.path
sys.path.insert(1, '../../install/lib')
#os.environ['OMP_NUM_THREADS']=str(2)
import setvoronoi as sv
#print cf.__doc__
mycf = sv.CellFactory() #establish a factory (class) to handle the computation
mycf.infolder = "./input" #this folder contains point-cloud data for each particle (will be generated)
mycf.outfolder = "./output" #this folder contains data after computation
mycf.posFile = "./Particles.dat" #particle data with info such as position, orientation, etc
mycf.wallFile = "./Walls.dat" #wall data with positions of each walll for a cubic container
mycf.cellVTK = True #yield vtk files for cells
mycf.cellPOV = True #yield pov files for cells
mycf.scale = 1000 #the parameter used to scale up the data during computation (due to a bug in vtk)
mycf.boxScale = 2.0 #the parameter used to scale up the AABB box of a given particle
mycf.parShrink = 0.1e-3 #shrink particles inward to avoid contact particles (with intersection in DEM)
mycf.threadNum = 2 #threads in OpenMP
mycf.visualized_ids = [0,1,2] #id list of particle/cell that will be visualized by vtk/pov, empty for all.
#you can execute it step by step
mycf.genPointClouds(w_slices=30,h_slices=20)#point-cloud generation. here you can put your raw data
mycf.neighborSearch()
#mycf.processing()#processing all particles
pid = 0 #as a demonstrate, we calculate only a single particle with id = 0.
mycf.processingOne(pid)#processing only one particle with id of pid
#or you can conduct an automatic work flow
#mycf.autoWorkFlow() #this line will execute all processes starting from point-cloud generation.Your compiler should support the C++17 standard.
You can create a fresh folder like 'build' at the root folder of the source code, and then compile the code according to the following brief instructions.
cd PySetVoronoi/
mkdir build
cd build
cmake ../src
make
make install
Note: By default, 'make install' will install the compiled libraries into the folder named "install" next to 'build'.
Then, you can run the examples in your terminal, e.g.,
python3 testsp.pyIf you plan to publish your research work using this code, please consider citing one of the following publications:
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Zhang, C., Zhao, S., Zhao, J., Zhou, X., 2021. Three-dimensional Voronoi analysis of realistic grain packing: An XCT assisted set Voronoi tessellation framework. Powder Technology 379, 251–264. https://doi.org/10.1016/j.powtec.2020.10.054
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Zhao, S., Zhao, J., Guo, N., 2020. Universality of internal structure characteristics in granular media under shear. Phys. Rev. E 101, 012906. https://doi.org/10.1103/PhysRevE.101.012906
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Zhao, S., Evans, T.M., Zhou, X., 2018. Three-dimensional Voronoi analysis of monodisperse ellipsoids during triaxial shear. Powder Technology 323, 323–336. https://doi.org/10.1016/j.powtec.2017.10.023