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FatPy

A Python package for fatigue life evaluation of materials.

Introduction

FatPy is an open-source Python package developed to assist researchers, engineers, and industry professionals in accurately assessing material fatigue life. Its modular architecture is designed to accommodate a variety of fatigue analysis methods, making it a versatile tool in the field of material science.

Key Features

  • Stress-Life - Methods for analyzing fatigue life based on stress data
  • Strain-Life - Tools for evaluating fatigue life using strain data
  • Energy-Life - Methods for assessing fatigue life based on energy data

Installation

pip install fatpy

For detailed installation options, see the Installation Guide.

The FABER Project

FatPy is a key initiative of Working Group 6 (WG6) within the FABER (Fatigue Benchmark Repository) project, operating under COST Action CA23109. The FABER project aims to create a comprehensive database of experimental fatigue data to enhance the accuracy of fatigue life predictions.

Working Group 6 is specifically focused on developing open-source fatigue software, with FatPy being a flagship product of this endeavor.

FABER Resources

Join Our Efforts

We warmly invite you to contribute to the development and enhancement of FatPy. Whether you're interested in coding, testing, documentation, or providing feedback, your participation is invaluable.

Getting Involved

By participating, you'll be part of a collaborative effort to advance the field of material fatigue analysis. Stay tuned to the FatPy documentation for regular updates, tutorials, and community news as we work together to push the boundaries of fatigue research.

License

This project is licensed under the MIT License.

Contact

Jan Vyborny - jan.vyborny2@gmail.com Project Link: github.com/vybornak2/fatpy

Special Thanks

Gooby - for his help with the documentation and the project in general.