Fatigue analysis in python
Python package for fatigue analysis of data series. The package requires numpy.
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
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.
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