FatPy¶
Welcome to FatPy, an open-source Python package for fatigue life evaluation of materials.
Introduction¶
FatPy is 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¶
Core Modules¶
- Stress-Life
Stress-based fatigue assessment methods for estimating fatigue damage with corrections for various effects (stress concentration, size, surface quality, etc.) - Strain-Life
Fatigue analysis using strain amplitude and cycles to failure relationships (ε-N approaches) such as Coffin-Manson and Basquin laws, suited for low-cycle and transitional fatigue regimes - Energy-Life
Fatigue analysis methods based on the relationship between strain energy density and number of cycles to failure - Damage Cumulation
Various fatigue damage accumulation rules for variable amplitude loading, including linear models (Palmgren-Miner) and advanced non-linear approaches accounting for load sequence effects - Decompositions
Methods for breaking down complex load signals into cycles, containing both uniaxial and multiaxial procedures - Plane-Based Methods
Methods for processing stress tensor paths on material planes, providing infrastructure for critical-plane and integral prediction approaches
Supporting Modules¶
- Material Laws
Functions dealing with various material constitutive laws and behavior models - Structural Mechanics
Stress analysis and transformation utilities - Utils
General utilities for mesh handling, signal processing, and data manipulation
Installation¶
For detailed installation options, see the Installation Guide
The FABER Project¶
Background
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¶
-
Explore the Repository:
Visit our GitHub repository to access the source code. -
Contribute:
Follow our Contribution Guidelines to help improve FatPy. -
Collaborate:
Join our Discussions or Report issues.
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¶
Feel free to share your ideas, use these channels to contact us:
Special Thanks¶
Gooby - for his help with the documentation and the project in general.