Metadata-Version: 2.1
Name: pyansys
Version: 0.32.0
Summary: Pythonic interface to ANSYS binary files
Home-page: https://github.com/akaszynski/pyansys
Author: Alex Kaszynski
Author-email: akascap@gmail.com
License: MIT
Keywords: vtk ANSYS cdb full rst
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Requires-Dist: numpy (>1.9.3)
Requires-Dist: vtkInterface (>=0.10.2)
Requires-Dist: ansys-corba
Requires-Dist: appdirs
Requires-Dist: psutil (>=5.0.0)
Requires-Dist: pexpect

pyansys
=======

.. image:: https://travis-ci.org/akaszynski/pyansys.svg?branch=master
    :target: https://travis-ci.org/akaszynski/pyansys

.. image:: http://readthedocs.org/projects/pyansys/badge/?version=latest
    :target: https://pyansys.readthedocs.io/en/latest/?badge=latest

This Python module allows you to:
 - Interactively control an instance of ANSYS v17.0 + using Python.
 - Extract data directly from binary ANSYS v14.5+ files and to display or animate them.
 - Rapidly read in binary result ``(.rst)``, binary mass and stiffness ``(.full)``, and ASCII block archive ``(.cdb)`` files.

See the `Documentation <http://pyansys.readthedocs.io>`_ page for more details.


Installation
------------
Installation through pip::

    pip install pyansys

You can also visit `GitHub <https://github.com/akaszynski/pyansys>`_ to download the source.


Quick Examples
--------------
Many of the following examples are built in and can be run from the build-in
examples module.  For a quick demo, run:

.. code:: python

    from pyansys import examples
    examples.RunAll()


Controlling ANSYS
~~~~~~~~~~~~~~~~~
Create an instance of ANSYS and interactively send commands to it.  This is a direct interface and does not rely on writing a temporary script file.  You can also generate plots using ``matplotlib``.

.. code:: python

    import os
    import pyansys

    path = os.getcwd()
    ansys = pyansys.ANSYS(run_location=path, interactive_plotting=True)

    # create a square area using keypoints
    ansys.Prep7()
    ansys.K(1, 0, 0, 0)
    ansys.K(2, 1, 0, 0)
    ansys.K(3, 1, 1, 0)
    ansys.K(4, 0, 1, 0)    
    ansys.L(1, 2)
    ansys.L(2, 3)
    ansys.L(3, 4)
    ansys.L(4, 1)
    ansys.Al(1, 2, 3, 4)
    ansys.Aplot()
    ansys.Save()
    ansys.Exit()

.. figure:: https://github.com/akaszynski/pyansys/raw/master/doc/images/aplot.png
    :width: 500pt


Loading and Plotting an ANSYS Archive File
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
ANSYS archive files containing solid elements (both legacy and current), can be loaded using ReadArchive and then converted to a vtk object.


.. code:: python

    import pyansys
    from pyansys import examples

    # Sample *.cdb
    filename = examples.hexarchivefile

    # Read ansys archive file
    archive = pyansys.ReadArchive(filename)

    # Print raw data from cdb
    for key in archive.raw:
       print("%s : %s" % (key, archive.raw[key]))

    # Create a vtk unstructured grid from the raw data and plot it
    grid = archive.ParseVTK()
    grid.Plot()

    # write this as a vtk xml file 
    grid.Write('hex.vtu')

.. figure:: https://github.com/akaszynski/pyansys/raw/master/doc/images/hexbeam.png
    :width: 500pt

You can then load this vtk file using vtkInterface or another program that uses VTK.

.. code:: python

    # Load this from vtk
    import vtkInterface
    grid = vtkInterface.UnstructuredGrid('hex.vtu')
    grid.Plot()


Loading and Plotting an ANSYS Result File
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

This example reads in binary results from a modal analysis of a beam from ANSYS.

.. code:: python

    # Load the reader from pyansys
    import pyansys

    # Sample result file
    from pyansys import examples
    rstfile = examples.rstfile

    # Create result reader object by loading the result file
    result = pyansys.ResultReader(rstfile)

    # Get the solution time values (natural frequencies for this modal analysis)
    freqs = result.GetTimeValues()

    # Get the node numbers in this result file
    nnum = result.nnum

    # Get the 1st bending mode shape.  Nodes are ordered according to nnum.
    disp = result.GetNodalResult(0, True) # uses 0 based indexing 

    # it's just a numpy array
    print(disp)

.. code::

    [[  0.           0.           0.        ]
     [  0.           0.           0.        ]
     [  0.           0.           0.        ]
     ..., 
     [ 21.75315943 -14.01733637  -2.34010126]
     [ 26.60384371 -17.14955041  -2.40527841]
     [ 31.50985156 -20.31588852  -2.4327859 ]]

You can plot results as well directly from the file as well.

.. code:: python

    # Plot the displacement of the 1st in the x direction
    result.PlotNodalResult(0, 'x', label='Displacement')

    # Plot the nodal stress in the 'x' direction for the 6th result
    result.PlotNodalStress(5, 'Sx')

.. figure:: https://github.com/akaszynski/pyansys/raw/master/doc/images/beam_stress.png
    :width: 500pt


Reading a Full File
-------------------
This example reads in the mass and stiffness matrices associated with the above example.

.. code:: python

    # Load the reader from pyansys
    import pyansys
    from scipy import sparse

    # load the full file
    fobj = pyansys.FullReader('file.full')
    dofref, k, m = fobj.LoadKM()  # returns upper triangle only

    # make k, m full, symmetric matricies
    k += sparse.triu(k, 1).T
    m += sparse.triu(m, 1).T

If you have ``scipy`` installed, you can solve the eigensystem for its natural frequencies and mode shapes.

.. code:: python

    from scipy.sparse import linalg

    # condition the k matrix
    # to avoid getting the "Factor is exactly singular" error
    k += sparse.diags(np.random.random(k.shape[0])/1E20, shape=k.shape)

    # Solve
    w, v = linalg.eigsh(k, k=20, M=m, sigma=10000)
    # System natural frequencies
    f = (np.real(w))**0.5/(2*np.pi)

    print('First four natural frequencies')
    for i in range(4):
        print '{:.3f} Hz'.format(f[i])

.. code::

    First four natural frequencies
    1283.200 Hz
    1283.200 Hz
    5781.975 Hz
    6919.399 Hz


License and Acknowledgments
---------------------------
``pyansys`` is licensed under the MIT license.

ANSYS documentation and functions build from html provided by `Sharcnet <https://www.sharcnet.ca/Software/Ansys/>`_.  Thanks!

This module, ``pyansys`` makes no commercial claim over ANSYS whatsoever.  This tool extends the functionality of ``ANSYS`` by adding a python interface in both file interface as well as interactive scripting without changing the core behavior or license of the original software.  The use of the interactive APDL control of ``pyansys`` requires a legally licensed local copy of ANSYS.


