pyLife – a general library for fatigue and reliability

pyLife is an Open Source Python library for state of the art algorithms used in
lifetime assessment of mechanical components subjected to fatigue.

Purpose of the project

This library was originally compiled at Bosch
Research to collect algorithms needed by
different in house software projects, that deal with lifetime prediction and
material fatigue on a component level. In order to further extent and
scrutinize it we decided to release it as Open Source. Read this
article
about pyLife's origin.

So we are welcoming collaboration not only from science and education but also
from other commercial companies dealing with the topic. We commend this library
to university teachers to use it for education purposes.

The company Viktor has set up a web application for Wöhler
test analysis
based on pyLife code.

Contents

There are/will be the following subpackages:

• stress everything related to stress calculation

  • equivalent stress
  • stress gradient calculation
  • rainflow counting
  • ...

• strength everything related to strength calculation

  • failure probability estimation
  • S-N-calculations
  • local strain concept: FKM guideline nonlinear
  • ...

• mesh FEM mesh related stuff

  • stress gradients
  • FEM-mapping
  • hotspot detection

• util all the more general utilities

  • ...

• materialdata analysis of material testing data

  • Wöhler (SN-curve) data analysis

• materiallaws modeling material behavior

  • Ramberg Osgood
  • Wöhler curves

• vmap a interface to VMAP

License

pyLife is open-sourced under the Apache-2.0 license. See the
LICENSE file for details.

For a list of other open source components included in pyLife, see the
file 3rd-party-licenses.txt.