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updated docs for getting started and landing page (#271)
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Co-authored-by: Roberto Pastor Muela <[email protected]>
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kanthadya and RobPasMue authored Sep 5, 2023
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182 changes: 19 additions & 163 deletions README.rst
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Expand Up @@ -36,29 +36,26 @@ PyDYNA is a Pythonic package for providing a more convenient and complete way to
build an Ansys DYNA input deck, submit it to the Ansys LS-DYNA solver, and
finally postprocess the results.

In the PyDYNA installation, the ``docker`` directory has two child
directories:

- ``pre``: Contains the package with the ``ls-pre`` Docker image for the
``pre`` service. This service provides highly abstracted APIs for creating and
setting up DYNA input decks for DynaMech, DynaIGA, DynaICFD, DynaSALE, DynaEM,
and DynaAirbag.
- ``solver``: Contains the package with the ``dynasolver`` Docker image
for the ``solver`` service. This service provides highly abstracted
APIs for interacting directly with the Ansys LS-DYNA solver. Because LS-DYNA
is primarily a batch solver with very limited interactive capabilities, the
``solver`` service is similarly limited. The target use case is that LS-DYNA is
running in a container environment such as Docker or Kubernetes. Using this
service, you can push input files to the container, start LS-DYNA
and monitor its progress, and then retrieve Ansys solver results (RST)
files.
PyDYNA contains two submodules, ``ansys.dyna.core.pre`` and ``ansys.dyna.core.solver``

- ``pre``: This module provides highly abstracted APIs for creating and
setting up DYNA input decks. There are many classes supported, namely,
DynaMech, DynaIGA, DynaICFD, DynaSALE, DynaEM,DynaNVH, DynaMaterial,
DynaISPH, DynaICFD and DynaAirbag. Each of these classes can be used to generate
LS-DYNA keywords. Since these classes have high-level abstraction, each function call
generates groups of keywords needed to define an input in LS-DYNA.
- ``solver``: This API provides features to interact directly with the Ansys LS-DYNA solver.
LS-DYNA is primarily a batch solver with very limited interactive capabilities, the
``solver`` service provides a way to push input files to the LS-DYNA solver, monitor the state
of the running job, change the value of a load curve and finally retrieve result files back from
the server

Once you have results, you can use the Ansys Data Processing Framework (DPF),
which is designed to provide numerical simulation users and engineers
with a toolbox for accessing and transforming simulation data. DPF
can access data from Ansys solver RST files and from several
files with neutral formats, including CSV, HDF5, and VTK. Using DPF's
various operators, you can manipulate and transform this data.
can access data from Ansys solver files and from several files with neutral formats,
including CSV, HDF5, and VTK. Using DPF's various operators,
you can manipulate and transform this data.

The `ansys-dpf-post package <https://github.com/ansys/pydpf-post>`_ provides
a simplified Python interface to DPF, thus enabling rapid postprocessing
Expand All @@ -70,6 +67,9 @@ Documentation and issues
Documentation for the latest stable release of PyDyna is hosted at `PyDYNA documentation
<https://dyna.docs.pyansys.com/version/stable//>`_.

For examples on how to use PyDYNA, see `Examples <https://dyna.docs.pyansys.com/version/stable/examples/index.html>`_
in the PyDYNA documentation.

In the upper right corner of the documentation's title bar, there is an option for switching from
viewing the documentation for the latest stable release to viewing the documentation for the
development version or previously released versions.
Expand All @@ -81,150 +81,6 @@ you can post questions, share ideas, and get community feedback.

To reach the project support team, email `[email protected] <[email protected]>`_.

Usage
=====
The next few sections show how to preprocess, solve, and postprocess a ball plate example.

Preprocess
----------
The following code preprocesses a ball plate example. In the repository, you can get the
input file from ``src/ansys/dyna/core/pre/examples/explicit/ball_plate/ball_plate.k`` and
the Python file from ``examples/Explicit/ball_plate.py``.

.. code:: python
import os
import sys
from ansys.dyna.core.pre.dynasolution import DynaSolution
from ansys.dyna.core.pre.dynamech import (
DynaMech,
Velocity,
PartSet,
ShellPart,
SolidPart,
NodeSet,
Contact,
ContactSurface,
ShellFormulation,
SolidFormulation,
ContactType,
AnalysisType
)
from ansys.dyna.core.pre.dynamaterial import (
MatRigid,
MatPiecewiseLinearPlasticity,
)
from ansys.dyna.core.pre import examples
hostname = "localhost"
if len(sys.argv) > 1:
hostname = sys.argv[1]
solution = DynaSolution(hostname)
fns = []
path = examples.ball_plate + os.sep
fns.append(path+"ball_plate.k")
solution.open_files(fns)
solution.set_termination(termination_time=10)
ballplate = DynaMech(AnalysisType.NONE)
solution.add(ballplate)
matrigid = MatRigid(mass_density=7.83e-6, young_modulus=207, poisson_ratio=0.3)
matplastic = MatPiecewiseLinearPlasticity(mass_density=7.83e-6, young_modulus=207, yield_stress=0.2, tangent_modulus=2)
plate = ShellPart(1)
plate.set_element_formulation(ShellFormulation.BELYTSCHKO_TSAY)
plate.set_material(matplastic)
plate.set_thickness(1)
plate.set_integration_points(5)
ballplate.parts.add(plate)
ball = SolidPart(2)
ball.set_material(matrigid)
ball.set_element_formulation(SolidFormulation.CONSTANT_STRESS_SOLID_ELEMENT)
ballplate.parts.add(ball)
selfcontact = Contact(type=ContactType.AUTOMATIC)
surf1 = ContactSurface(PartSet([1, 2]))
selfcontact.set_slave_surface(surf1)
ballplate.contacts.add(selfcontact)
spc = [34,35,51,52,68,69,85,86,102,103,119,120,136,137,153,154,170,171,187,188,204,205,221,222,238,239,255,256]
for i in range(1,19):
spc.append(i)
for i in range(272,290):
spc.append(i)
ballplate.boundaryconditions.create_spc(NodeSet(spc),rx=False,ry=False,rz=False)
for i in range(1,1652):
ballplate.initialconditions.create_velocity_node(i,trans=Velocity(0, 0, -10))
solution.set_output_database(glstat=0.1, matsum=0.1, sleout=0.1)
solution.create_database_binary(dt=1)
serverpath = solution.save_file()
serveroutfile = '/'.join((serverpath,"ball_plate.k"))
downloadpath = os.path.join(os.getcwd(), "output")
if not os.path.exists(downloadpath):
os.makedirs(downloadpath)
downloadfile = os.path.join(downloadpath,"ball_plate.k")
solution.download(serveroutfile,downloadfile)
Solve
-----
The following code solves this basic ball plate example. In the repository,
you can get the Python file from ``examples/solver/ball_plate_solver.py``.

.. code:: python
import ansys.dyna.core.solver as solver
hostname = "localhost"
port = "5000"
dyna=solver.DynaSolver(hostname,port) # connect to the container
dyna.push("./output/ball_plate.k") # push an input file
dyna.start(4) # start 4 ranks of mppdyna
dyna.run("i=ball_plate.k memory=10m ncycle=20000") # begin execution
Postprocess
-----------
The following code postprocesses results from the solve of this basic ball plate example:

.. code:: python
from ansys.dpf import core as dpf
import os
ds = dpf.DataSources()
data_path = os.path.join(os.getcwd(), 'd3plot')
ds.set_result_file_path(data_path, 'd3plot')
model = dpf.Model(ds)
# Extract displacements for all time steps from d3plot
D = model.results.displacement.on_all_time_freqs().eval()
D.animate()
stress = dpf.operators.result.stress()
stress.inputs.data_sources(ds)
stress.inputs.time_scoping([12])
stress.connect(25, [1])
stress.inputs.requested_location.connect("Nodal")
fields = stress.outputs.fields_container()
shell_layer_extract = dpf.operators.utility.change_shell_layers()
shell_layer_extract.inputs.fields_container.connect(fields)
print(shell_layer_extract.inputs.e_shell_layer)
shell_layer_extract.inputs.e_shell_layer.connect(0)
fields_top = shell_layer_extract.outputs.fields_container_as_fields_container()
print(fields_top)
fields_top.animate()
For more examples, see `Examples <https://dyna.docs.pyansys.com/version/stable/examples/index.html>`_
in the PyDYNA documentation.

License
=======
PyDYNA is licensed under the MIT license.
Expand Down
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Expand Up @@ -7,7 +7,7 @@ directories:
In the PyDYNA installation, the ``docker`` directory has two child
directories:

- ``pre``: Contains the package with the ``ls-pre`` Docker image for the
- ``pre``: Contains the package with the ``pre`` Docker image for the
``pre`` service. This service provides highly abstracted APIs for creating and
setting up DYNA input decks for DynaMech, DynaIGA, DynaICFD, DynaSALE, DynaEM,
and DynaAirbag.
Expand Down
45 changes: 17 additions & 28 deletions doc/source/getting-started/index.rst
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@@ -1,38 +1,19 @@
Getting started
===============
To run PyDYNA, you must have an installation of Ansys LS-DYNA.
PyDYNA supports LS-DYNA 2023 R2 and later.

To use the solver features of PyDYNA, you must have a valid LS-DYNA license.

For information on getting a licensed copy of LS-DYNA, see
the `Ansys LS-DYNA <https://www.ansys.com/products/structures/ansys-ls-dyna>`_
page on the Ansys website.

Installation
============
To use PyDYNA, you must install Docker images for the ``pre`` and ``solver``
services and the ``ansys.dyna.core`` package itself.


Install Docker image for the ``pre`` service
--------------------------------------------
To launch the ``pre`` service locally, you must have Docker installed
on your machine.

.. caution::

The ``pre`` service is available only as a Linux Docker image.
Make sure that your Docker engine is configured to run Linux Docker images.
PyDYNA consists of two modules, ``ansys.dyna.core.pre`` and ``ansys.dyna.core.solver``.
Both these modules are gRPC enabled and hence need to be run using server-client connection.

For information on installing the Docker container for the ``pre`` service,
see the ``README.rst`` file in the repository's ``docker/pre`` directory.

Install Docker image for the ``solver`` service
-----------------------------------------------
For information on installing the Docker container for the ``solver`` service,
see the ``README.rst`` file in the repository's ``docker/solver`` directory.

Install the package
-------------------
Install the client
------------------
The ``ansys.dyna.core`` package supports Python 3.8 through
Python 3.11 on Windows, Linux, and MacOS.

Expand All @@ -46,7 +27,7 @@ Install in user mode
~~~~~~~~~~~~~~~~~~~~

Before installing PyDYNA in user mode, make sure you have the latest version of
`pip`_ with this command:
`pip <https://pip.pypa.io/en/stable/installation/>`_ with this command:

.. code:: bash
Expand All @@ -65,9 +46,9 @@ Install in developer mode
Installing PyDYNA in developer mode allows you to modify the source and enhance it.

.. note::

Before contributing to the project, ensure that you are thoroughly familiar
with the `PyAnsys Developer's Guide`_.
with the `PyAnsys Developer's Guide <https://dev.docs.pyansys.com/index.html>`_.

Start by cloning and installing the repository with these commands:

Expand Down Expand Up @@ -99,6 +80,14 @@ with these commands:
If you're on Windows with Python 3.8, unzip the wheelhouse archive to a ``wheelhouse``
directory and install PyDYNA using the preceding command.

Install the server
------------------
Currently, PyDYNA server is only supported withing a Docker container.
Future releases support launching the servers directly on local machines as well.

.. include:: ../../../docker/pre/README.rst

.. include:: ../../../docker/solver/README.rst

.. LINKS
.. _pydyna_pypi: https://pypi.org/projects/ansys-dyna-core/
Expand Down
3 changes: 1 addition & 2 deletions doc/source/index.rst
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Expand Up @@ -2,8 +2,7 @@ PyDYNA documentation |version|
===============================

.. include:: ../../README.rst
.. include:: ../../docker/pre/README.rst
.. include:: ../../docker/solver/README.rst


.. jinja:: main_toctree

Expand Down
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