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

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 functions for rainflow cycle counting and defining endurance curves, which can easily be combined with a damage accumulation rule to determine the fatigue damage in a component. The code example below shows how fatigue damage can be calculated:

import numpy as np
import fatpack


# Assume that `x` is the data series, we generate one here
x = np.random.normal(0., 30., size=10000)

# Extract the stress ranges by rainflow counting
S = fatpack.find_rainflow_ranges(x)

# 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) 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

Support

Please open an issue for support.

Contributing

Please contribute using Github Flow. Create a branch, add commits, and open a pull request.

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