ToPy is a lightweight topology optimization framework for Python. It was originally hosted on Google Code, please refer to the ToPy wiki
All you need is the following:
$ git clone https://github.com/williamhunter/topy
$ cd topy/topy
$ python setup.py install
The main class of ToPy is Topology
. It definess the main constraints, grid and parameters of optimization. There are 2 ways how you could define the Topology
:
- TPD file. It is usefull for comand line
- Config dictionary. This is quite close to TPD file. However, it is a way useful if the initialization in code is needed.
There is a minimal set of parameters, which is required for successful definition of the problem:
PROB_TYPE : comp
PROB_NAME : mbb_beam_minimal
ETA : 0.5
DOF_PN : 2
VOL_FRAC : 0.5
FILT_RAD : 1.5
P_FAC : 3
ELEM_K : Q4
NUM_ELEM_X : 60
NUM_ELEM_Y : 20
NUM_ELEM_Z : 0
NUM_ITER : 10
FXTR_NODE_X: 1|21
FXTR_NODE_Y: 1281
LOAD_NODE_Y: 1
LOAD_VALU_Y: -1
You can read more about successful problem definition here.
When the .tpd
file is defined, then the rest is simple:
from topy import Topology
topology = Topology()
topology.load_tpd_file('file.tpd')
First you have to define a config dictionary:
config = {
'DOF_PN': 2,
'ELEM_K': 'Q4',
'ETA': '0.5',
'FILT_RAD': 1.5,
'FXTR_NODE_X': range(1, 22),
'FXTR_NODE_Y': 1281,
'LOAD_NODE_Y': 1,
'LOAD_VALU_Y': -1,
'NUM_ELEM_X': 60,
'NUM_ELEM_Y': 20,
'NUM_ELEM_Z': 0,
'NUM_ITER': 94,
'PROB_NAME': 'beam_2d_reci',
'PROB_TYPE': 'comp',
'P_FAC': 3.0,
'VOL_FRAC': 0.5
}
The requirements are the same as for .tpd
file.
topology = Topology(config=config)
You can use one-line solution:
$ python topy/scripts/optimise.py <filename>.tpd
Or with script:
import topy
config = {...}
t = topy.Topology(config)
t.set_top_params()
topy.optimise(t)
Module topy.visualization
allows one to save the output as a .png
image for 2D problems or as a .vtk
file for 3D. You can animate the obtained images with convert tool.
convert -delay 35 *.png anim.gif