{ "info": { "author": "PySPH Developers", "author_email": "pysph-dev@googlegroups.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Environment :: Console", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved :: BSD License", "Natural Language :: English", "Operating System :: MacOS :: MacOS X", "Operating System :: Microsoft :: Windows", "Operating System :: POSIX", "Operating System :: Unix", "Programming Language :: Python", "Programming Language :: Python :: 3", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Physics", "Topic :: Software Development :: Libraries" ], "description": "PySPH: a Python-based SPH framework\n------------------------------------\n\n|Travis Status| |Shippable Status| |Appveyor Status| |Codeship Status|\n\n**PySPH has moved here:** https://github.com/pypr/pysph\n\nPySPH is an open source framework for Smoothed Particle Hydrodynamics\n(SPH) simulations. It is implemented in\n`Python `_ and the performance critical parts\nare implemented in `Cython `_ and PyOpenCL_.\n\nPySPH allows users to write their high-level code in pure Python. This Python\ncode is automatically converted to high-performance Cython or OpenCL which is\ncompiled and executed. PySPH can also be configured to work seamlessly with\nOpenMP, OpenCL, and MPI.\n\nThe latest documentation for PySPH is available at\n`pysph.readthedocs.org `_.\n\n.. |Travis Status| image:: https://travis-ci.org/pypr/pysph.svg?branch=master\n :target: https://travis-ci.org/pypr/pysph\n.. |Shippable Status| image:: https://api.shippable.com/projects/59272c73b2b3a60800b215d7/badge?branch=master\n :target: https://app.shippable.com/github/pypr/pysph\n.. |Codeship Status| image:: https://app.codeship.com/projects/37370120-23ab-0135-b8f4-5ed227e7b019/status?branch=master\n :target: https://codeship.com/projects/222098\n.. |Appveyor Status| image:: https://ci.appveyor.com/api/projects/status/q7ujoef1xbguk4wx\n :target: https://ci.appveyor.com/project/prabhuramachandran/pysph-00bq8\n\nHere are `videos\n`_\nof some example problems solved using PySPH.\n\n\n.. _PyOpenCL: https://documen.tician.de/pyopencl/\n\nFeatures\n--------\n\n- Flexibility to define arbitrary SPH equations operating on particles\n in pure Python.\n- Define your own multi-step integrators in pure Python.\n- High-performance: our performance is comparable to hand-written\n solvers implemented in FORTRAN.\n- Seamless multi-core support with OpenMP.\n- Seamless GPU support with PyOpenCL_.\n- Seamless parallel support using\n `Zoltan `_.\n\nSPH formulations\n-----------------\n\nPySPH ships with a variety of standard SPH formulations along with\nbasic examples. Some of the formulations available are:\n\n- `Weakly Compressible SPH\n (WCSPH) `_\n for free-surface flows (Gesteira et al. 2010, Journal of Hydraulic\n Research, 48, pp. 6--27)\n- `Transport Velocity\n Formulation `_ for\n incompressilbe fluids (Adami et al. 2013, JCP, 241, pp. 292--307)\n- `SPH for elastic\n dynamics `_ (Gray\n et al. 2001, CMAME, Vol. 190, pp 6641--6662)\n- `Compressible SPH `_\n (Puri et al. 2014, JCP, Vol. 256, pp 308--333)\n\nInstallation\n-------------\n\nUp-to-date details on how to install PySPH on Linux/OS X and Windows are\navailable from\n`here `_.\n\nIf you wish to see a working build/test script please see our `shippable.yml\n`_. For\nWindows platforms see the `appveyor.yml\n`_.\n\nRunning the examples\n--------------------\n\nYou can verify the installation by exploring some examples. A fairly\nquick running example (taking about 20 seconds) would be the\nfollowing::\n\n $ pysph run elliptical_drop\n\nThis requires that Mayavi be installed. The saved output data can be\nviewed by running::\n\n $ pysph view elliptical_drop_output/\n\nA more interesting example would be a 2D dam-break example (this takes about 30\nminutes in total to run)::\n\n $ pysph run dam_break_2d\n\nThe solution can be viewed live by running (on another shell)::\n\n $ pysph view\n\nThe generated output can also be viewed and the newly generated output files\ncan be refreshed on the viewer UI.\n\nA 3D version of the dam-break problem is also available, and may be run\nas::\n\n $ pysph run dam_break_3d\n\nThis runs the 3D dam-break problem which is also a SPHERIC benchmark\n`Test 2 `_\n\n.. figure:: https://github.com/pypr/pysph/raw/master/docs/Images/db3d.png\n :width: 550px\n :alt: Three-dimensional dam-break example\n\nPySPH is more than a tool for wave-body interactions:::\n\n $ pysph run cavity\n\nThis runs the driven cavity problem using the transport velocity formulation of\nAdami et al. The output directory ``cavity_output`` will also contain\nstreamlines and other post-processed results after the simulation completes.\nFor example the streamlines look like the following image:\n\n.. figure:: https://github.com/pypr/pysph/raw/master/docs/Images/ldc-streamlines.png\n :width: 550px\n :alt: Lid-driven-cavity example\n\nIf you want to use PySPH for elastic dynamics, you can try some of the\nexamples from the ``pysph.examples.solid_mech`` package::\n\n $ pysph run solid_mech.rings\n\nWhich runs the problem of the collision of two elastic rings:\n\n.. figure:: https://github.com/pypr/pysph/raw/master/docs/Images/rings-collision.png\n :width: 550px\n :alt: Collision of two steel rings\n\nThe auto-generated code for the example resides in the directory\n``~/.pysph/source``. A note of caution however, it's not for the faint\nhearted.\n\nThere are many more examples, they can be listed by simply running::\n\n $ pysph run\n\n\nCredits\n--------\n\nPySPH is primarily developed at the `Department of Aerospace\nEngineering, IIT Bombay `_. We are grateful\nto IIT Bombay for their support. Our primary goal is to build a\npowerful SPH based tool for both application and research. 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