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|logo_img|
.. image:: https://zenodo.org/badge/113768119.svg :target: https://zenodo.org/badge/latestdoi/113768119
Python package for fatigue analysis of data series. The package
requires numpy
.
Either install from the github repository (latest version),
::
pip install git+https://github.com/gunnstein/fatpack.git
install from the python package index
::
pip install fatpack
or from the conda-forge:
::
conda install --channel=conda-forge fatpack
The package provides functionality 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>
_.
Please open an issue <https://github.com/Gunnstein/fatpack/issues/new>
_
for support.
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/
FAQs
Fatigue analysis in python
We found that fatpack demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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