PyGranSim is part of the PyGran project, an open-source toolkit primarily designed for analyzing DEM simulation data. In addition to performing basic and custom post-processing, PyGran enables running DEM simulation with the PyGranSim module. For more info on PyGran, see here.
If your find PyGran useful in your research, please consider citing the following paper:
@article{aam2019pygran,
title={PyGran: An object-oriented library for DEM simulation and analysis},
author={Abi-Mansour, Andrew},
journal={SoftwareX},
volume={9},
pages={168--174},
year={2019},
publisher={Elsevier},
doi={10.1016/j.softx.2019.01.016}
}
PyGranSim is typically installed with other PyGran submodules. See here for more info. For a solo PyGranSim local installation, simply clone this repository and then use pip (or pip3) to run from the source dir:
pip install . --userYou can alternatively run setup.py to build and/or install the package. See setup.py -h for more info.
PyGranSim also provides an interface for running DEM simulation with LIGGGHTS. This is achieved by importing the simulation module as shown in the script below for simulating granular flow in a hopper.
import PyGranSim as simulation
from PyGranParams import stearicAcid, steel
# Create a DEM parameter dictionary
param = {
'model': simulation.models.SpringDashpot,
'boundary': ('f','f','f'),
'box': (-1e-3, 1e-3, -1e-3, 1e-3, 0, 4e-3),
'species': ({'material': stearicAcid, 'radius': 5e-5,},
),
'gravity': (9.81, 0, 0, -1),
'mesh': { 'hopper': {'file': 'silo.stl', 'mtype': 'mesh/surface', \
'material': steel}, },
}
# Instantiate a DEM class
sim = simulation.DEM(**param['model'])
# Insert 1000 particles for species 1 (stearic acid)
insert = sim.insert(species=1, value=1000)
# Evolve the system in time
sim.run(nsteps=1e6, dt=1e-6)For more examples on using PyGran for running DEM simulation, check out the examples page.