Simple Discrete Dislocation Dynamics Simulation Toolkit
This toolkit makes it possible to easily simulate 2D edge dislocation systems where the slip planes are parallel and periodic boundary conditions are applied. The integrator is based on an implicit numerical scheme which makes it possible to keep the O(N2) complexity which arise from the pair interactions while no dislocation annihilation is required and the runtime is greatly decreased.
SDDDST is highly modular, it can be easily modified and extended based on the use case where it is needed.
Please refer to the following article: Gábor Péterffy and Péter Dusán Ispánovity 2020 Modelling Simul. Mater. Sci. Eng. 28 035013. Thank you!
In order to be able to build the simulator, you will need the following dependencies on your computer:
- g++ or clang
- cmake
- make
- boost
- umfpack from suitesparse
- FFTW
The build is fairly simple from the root directory of the source:
mkdir build
cd build
cmake ..
make
The resulting binary which can be used to run the simulations:
build/src/sdddst
For the available parameters, check out the help!
./sdddst --help
To be able to run a simulation, data has to be provided in plain text format. The slip planes of the dislocations are parallel with the x axis and the simulation area is between [-0.5, 0.5] in both directions. Based on that an example configuration file which contains dislocation data:
-0.1 0.3 1
0.4 0.2 1
-0.2 -0.3 -1
-0.3 0.3 1
...
Each line represent a dislocation: in the first column the x coordinates are present, while in the second one the y coordinates can be found. The last column can be either 1 or -1 based on in which direction the dislocation's Burgers vector point. Point defects represented in files are the same in structure, but without the last column. Point defects are fixed in place during the simulations.
To be able to simulate dislocation interactions, a field need to be defined. These should be periodic and should reflect the size of the simulation cell. The current default one uses a binary datablob which contains precalculated data. The binary (periodic_stress_xy_1024x1024_bin.dat) need to be in the present working directory, or the path has to be defined with the corresponding option. Do not include the name of the binary at the end of the path!
The default protocol for external stress gives 0 for every timestep, but other protocols can be choosen as well, see the help.
If a log file is requested, a file will be continously updated during the simulation, but be aware that it is only written into the file when the buffer needs to be emptied. Each line represent a successful step in the simulation and in order the meaning of the columns:
- simulation time
- number of successful steps
- number of failed steps
- worst error ratio squared
- average speed of the dislocations
- cutoff (used in the implicit scheme)
- order parameter
- value of the external stress
- computation time between the last two successful steps
- accumulated strain
- average v2
- energy of the system
A cutoff parameter is needed for this implicit method. The meaning of the parameter is that if it is infinite the calculation goes like an implicit method was used, but if it is zero, it is like an explicit method. The multiplier multiplied with one on square root N (where N is the number of the dislocations) results in the actual cutoff.
A minimalistic Python interface is also available which makes it possible to run simulations directly from python. A simple description about how to run a simulation can be found below:
Just like before, cmake is responsible for the compilation process. The dependencies:
- Just like above
- Boost.Python (already covered by boost)
- Python3 and the developer libraries as well
After the dependencies are in place, the following should be issued in the previously created build
folder:
cmake .. -DBUILD_PYTHON_BINDINGS On
make
As a result PySdddstCore.so
named shared library going to be created in the build folder. This should be placed into your path and after that it can be imported into python by issueing the following command (a python package can be created with it as well):
import PySdddstCore as psc
First we need to import the library into python:
import PySdddstCore as psc
The next step is to prepare the simulation data. For that we need to use a SimulationDataObject
. Let's say we are going to simulate the motion of some dislocations, and their data is in dislocation.dconf
in the current working directory:
simulation_data = psc.SimulationDataObject("dislocation.dconf", "")
(Caution: If the paths do not point to a valid file, the program will crash. This will be fixed later on.)
The properties of the simulation will be available through this object during the whole simulation. Set up the simulation parameters:
simulation_data().cutoff_multiplier = 0.5
simulation_data().precision = 1e-6
simulation_data().time_limit = 100
simulation_data().time_limited = True
simulation_data().calculate_strain_during_simulation = True
simulation_data().final_dislocation_configuration_path = "result.dconf"
simulation_data().update_cutoff()
The actual values can be obtained by simply invoking the parameters:
simulation_data().cutoff_multiplier
simulation_data().precision
simulation_data().time_limit
simulation_data().time_limited
simulation_data().calculate_strain_during_simulation
simulation_data().final_dislocation_configuration_path
Two important thing is still missing. The external stress field (even if it is zero) and the dislocation field model has to be specified. First we specify a zero external stress field:
external_stress = psc.StressProtocolObject()
This is not a valid object right now. We should initialize it first:
external_stress.init()
Validity can be checked by:
external_stress.valid()
We need to provide this object to the simulation as well by:
simulation_data().external_stress = external_stress
After that the StressProtocolObject
becomes invalid again.
The same should be applied in case of the dislocation model:
field = psc.AnalyticFieldObject()
field.init()
simulation_data().tau = field
After we are ready, the simulation can be created and run by:
simulation = psc.Simulation.create(simulation_data)
simulation.run()