# FFPACK - Fatigue and Fracture PACKage
[](https://pepy.tech/project/ffpack)
[](https://doi.org/10.5281/zenodo.7478424)
## Purpose
`FFPACK` ( Fatigue and Fracture PACKage ) is an open-source Python library for fatigue and fracture analysis. It supports ASTM cycle counting, load sequence generation, fatigue damage evaluation, etc. A lot of features are under active development. `FFPACK` is designed to help engineers analyze fatigue and fracture behavior in engineering practice.
## Installation
`FFPACK` can be installed via [PyPI](https://pypi.org/project/ffpack/):
```bash
pip install ffpack
```
## Usage
The following example shows the usage of ASTM rainflow counting,
```python
# Import the ASTM rainflow counting function
from ffpack.lcc import astmRainflowCounting
# Prepare the data
data = [ -2.0, 1.0, -3.0, 5.0, -1.0, 3.0, -4.0, 4.0, -2.0 ]
# Get counting results
results = astmRainflowCounting( data )
```
See the package document for more details and examples.
## Status
`FFPACK` is currently under active development.
## Contents
* Fatigue damage model
* Palmgren-miner damage model
* Naive Palmgren-miner damage model
* Classic Palmgren-miner damage model
* Load counting and correction
* ASTM counting
* ASTM level crossing counting
* ASTM peak counting
* ASTM simple range counting
* ASTM range pair counting
* ASTM rainflow counting
* ASTM rainflow counting for repeating history
* Johannesson counting
* Johannesson min max counting
* Rychlik counting
* Rychlik rainflow counting
* Four point counting
* Four point rainflow counting
* Mean stress correction
* Goodman correction
* Soderberg correction
* Gerber correction
* Load sequence generator
* Random walk
* Uniform random walk
* Autoregressive moving average model
* Normal autoregressive (AR) model
* Normal moving average (MA) model
* Normal ARMA model
* Normal ARIMA model
* Sequence from spectrum
* Spectral representation
* Load spectra and matrices
* Cycle counting matrix
* ASTM simple range counting matrix
* ASTM range pair counting matrix
* ASTM rainflow counting matrix
* ASTM rainflow counting matrix for repeating history
* Johannesson min max counting matrix
* Rychlik rainflow counting matrix
* Four point rainflow counting matrix
* Wave spectra
* Jonswap spectrum
* Pierson Moskowitz spectrum
* ISSC spectrum
* Gaussian Swell spectrum
* Ochi-Hubble spectrum
* Wind spectra
* Davenport spectrum with drag coefficient
* Davenport spectrum with roughness length
* EC1 spectrum
* IEC spectrum
* API spectrum
* Sequence spectra
* Periodogram spectrum
* Welch spectrum
* Random and probabilistic model
* Metropolis-Hastings algorithm
* Metropolis-Hastings sampler
* Au modified Metropolis-Hastings sampler
* Nataf algorithm
* Nataf transformation
* Risk and reliability model
* First order second moment
* Mean value FOSM
* First order reliability method
* Hasofer-Lind-Rackwitz-Fiessler FORM
* Constrained optimization FORM
* Second order reliability method
* Breitung SORM
* Tvedt SORM
* Hohenbichler and Rackwitz SORM
* Simulation based reliability method
* Subset simulation
* Utility
* Aggregation
* Cycle counting aggregation
* Counting matrix
* Counting results to counting matrix
* Derivatives
* Derivative
* Central derivative weights
* Gradient
* Hessian matrix
* Digitization
* Sequence digitization
* Fitter
* SN curve fitter
* Sequence filter
* Sequence peakValley filter
* Sequence hysteresis filter
## Document
You can find the latest documentation for setting up `FFPACK` at the [Read the Docs site](https://ffpack.readthedocs.io/en/latest/).
## Credits
This project was made possible by the help from [DM2L lab](https://dm2l.uconn.edu/).
## License
[GPLv3](https://github.com/dpzhuX/ffpack/blob/main/LICENSE)
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