GitPedia

Fatpack

fatpack provides functions and classes for fatigue analysis of data series.

From Gunnstein·Updated June 25, 2026·View on GitHub·

.. image:: https://zenodo.org/badge/113768119.svg :target: https://zenodo.org/badge/latestdoi/113768119 The project is written primarily in Python, distributed under the ISC License license, first published in 2017. Key topics include: civil-engineering, endurance-strength, eurocode, eurocode3, fatigue-analysis.

Latest release: v0.7.8v0.7.8 - Compatible with Numpy 2.0
September 6, 2024View Changelog →

|logo_img|

=======
fatpack

.. 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.

Installation

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

Usage

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>_.

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/

Contributors

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This article is auto-generated from Gunnstein/fatpack via the GitHub API.Last fetched: 6/27/2026