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For Linux
Follow "DOWNLOAD" -> "OCTA2013" -> "OCTA2013 for linux iso image".
Download "OCTA2013LINUX.ISO" and follow the instructions to install OCTA2013.
For Windows
Follow "DOWNLOAD" -> "OCTA2013" -> "OCTA2013 for Windows 32/64bit iso image".
Download "OCTA2013WIN.ISO" and follow the instructions to install OCTA2013.
In the following STEPS, OCTA2013 is assumed to be installed in /usr/local/OCTA2013 (Linux) or C:\OCTA2013 (Windows).
> unzip kapsel3.*.zip
> cd kapsel3.1
> make 'ENV=CYGWIN' (Cygwin on Windows)
or
> make 'ENV=GCC' (gcc on Linux)
or
> make 'ENV=ICC' (icc on Linux)
or
> make 'ENV=ICC_MKL_OMP' (icc + MKL + OpenMP on Linux)
or
> make clean (clean-up working files)
The sample input.udf conduct a simulation of sedimenting 5-heavier + 5-lighter particles in Newtonian fluid, which is resolved by a 32x32x32 CFD grids. It takes less than a minute to be completed. If this sample successfully run, "output.udf" will be created. You can visualize various simulation data using python script from Gourmet. Three simple examples are shown below.
Common procedure
Start GOURMET
Open "output.udf" ("File" -> "Open" -> Open "output.udf").
Watching variables on Gourmet
Instantaneous positions and velocities of all the particles can be seen as variables in "Particles[]". Use slide bar at the bottom of GOURMET viewer window to see variables at different time steps.
Making an animation on GOURMET
Go down to "Python" panel, and click "Load"
Open "particleshow.py", and click "Run"
A new window will open, then click the playback button there.
Using gnuplot on GOURMET
Go down to "Python" panel, and click "Load"
Open "plot.py", and click "Run"
Go up to "View" box, and check "Table"
Go left and select "Graph Sheet[]".
go down to "Plot" panel, and type the following in the command box.
> plot 'plot.dat' using 2:7 with lines
Click "Plot", then you will see the time evolution of Vx of the 1st particle.
The history of simulation run (instantaneous positions and velocities of particles) is stored in "output.udf". One can access to this file by one of the following methods.
Python program. Please read the manual below for more general information on accessing UDF using Python.
"sk.py" is a sample python script to calculate the static structure factor S(k) from the temporal particle positions stored in "output.udf". It requires the "numpy" package to handle array variables. You can read and edit the script for your own purposes.
For Windows: "Start Menu" > "All Programs" > "OCTA2013" > "StartGourmetTerm?"
> python sk.py
> gnuplot
>> plot 'sk.dat' w line
Fortran or C program with libplatform. Please read the manual below more general information on accessing UDF using Fortran or C.
KAPSEL returns several important data to stderr as well (temporal stress etc). It usually appears in command line, but one can redirect stderr to a file as follows.
In case of csh or tcsh
> ../kapsel -Iinput.udf -Ooutput.udf -Ddefine.udf -Rrestart.udf >& out
In case of sh, bash, or Windows command prompt
# ../kapsel -Iinput.udf -Ooutput.udf -Ddefine.udf -Rrestart.udf 2> out