|logo_img|
=======
fatpack
=======
Python package for fatigue analysis of data series. The package
requires `numpy`.
Installation
------------
Either download the repository to your computer and install, e.g. by **pip**
::
pip install .
or install directly from the python package index.
::
pip install fatpack
Usage
-----
The package provides classes and functions for rainflow cycle counting,
defining endurance curves, mean and compressive stress range correction
and racetrack filtering. The code example below shows how fatigue damage
can be calculated:
.. code:: python
import numpy as np
import fatpack
# Assume that `y` is the data series, we generate one here
y = np.random.normal(0., 30., size=10000)
# Extract the stress ranges by rainflow counting
S = fatpack.find_rainflow_ranges(y)
# Determine the fatigue damage, using a trilinear fatigue curve
# with detail category Sc, Miner's linear damage summation rule.
Sc = 90.0
curve = fatpack.TriLinearEnduranceCurve(Sc)
fatigue_damage = curve.find_miner_sum(S)
An example is included (`example.py <https://github.com/Gunnstein/fatpack/blob/master/example.py>`_) which extracts rainflow cycles,
generates the rainflow matrix and rainflow stress spectrum, see the
figure presented below. The example is a good place to start to get
into the use of the package.
|example_img|
Additional examples are found in the `examples folder <https://github.com/Gunnstein/fatpack/tree/master/examples>`_.
Support
-------
Please `open an issue <https://github.com/Gunnstein/fatpack/issues/new>`_
for support.
Contributing
------------
Please contribute using `Github Flow
<https://guides.github.com/introduction/flow/>`_.
Create a branch, add commits, and
`open a pull request <https://github.com/Gunnstein/fatpack/compare/>`_.
.. |logo_img| image:: https://github.com/Gunnstein/fatpack/blob/master/fatpack-logo.png
:target: https://github.com/gunnstein/fatpack/
.. |example_img| image:: https://github.com/Gunnstein/fatpack/blob/master/example.png
:target: https://github.com/gunnstein/fatpack/
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"description": "|logo_img|\n\n=======\nfatpack\n=======\n\nPython package for fatigue analysis of data series. The package\nrequires `numpy`.\n\n\nInstallation\n------------\n\nEither download the repository to your computer and install, e.g. by **pip**\n\n::\n\n pip install .\n\n\nor install directly from the python package index.\n\n::\n\n pip install fatpack\n\n\nUsage\n-----\n\nThe package provides classes and functions for rainflow cycle counting,\ndefining endurance curves, mean and compressive stress range correction \nand racetrack filtering. The code example below shows how fatigue damage \ncan be calculated:\n\n.. code:: python\n\n import numpy as np\n import fatpack\n\n\n # Assume that `y` is the data series, we generate one here\n y = np.random.normal(0., 30., size=10000)\n\n # Extract the stress ranges by rainflow counting\n S = fatpack.find_rainflow_ranges(y)\n\n # Determine the fatigue damage, using a trilinear fatigue curve\n # with detail category Sc, Miner's linear damage summation rule.\n Sc = 90.0\n curve = fatpack.TriLinearEnduranceCurve(Sc)\n fatigue_damage = curve.find_miner_sum(S)\n\nAn example is included (`example.py <https://github.com/Gunnstein/fatpack/blob/master/example.py>`_) which extracts rainflow cycles,\ngenerates the rainflow matrix and rainflow stress spectrum, see the\nfigure presented below. The example is a good place to start to get\ninto the use of the package. \n\n|example_img|\n\n\nAdditional examples are found in the `examples folder <https://github.com/Gunnstein/fatpack/tree/master/examples>`_.\n\n\nSupport\n-------\n\nPlease `open an issue <https://github.com/Gunnstein/fatpack/issues/new>`_\nfor support.\n\n\nContributing\n------------\n\nPlease contribute using `Github Flow\n<https://guides.github.com/introduction/flow/>`_.\nCreate a branch, add commits, and\n`open a pull request <https://github.com/Gunnstein/fatpack/compare/>`_.\n\n.. |logo_img| image:: https://github.com/Gunnstein/fatpack/blob/master/fatpack-logo.png\n :target: https://github.com/gunnstein/fatpack/\n\n.. |example_img| image:: https://github.com/Gunnstein/fatpack/blob/master/example.png\n :target: https://github.com/gunnstein/fatpack/\n\n\n",
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