Skip to content

Latest commit

 

History

History
90 lines (61 loc) · 3.11 KB

README.md

File metadata and controls

90 lines (61 loc) · 3.11 KB
Raw

Build Status Documentation Status Coverage Status License: BSD 3-Clause PyPI Code style: black

pyYeti

pyYeti has tools mostly related to structural dynamics:

  • Solve matrix equations of motion in the time and frequency domains
  • Shock response spectrum (SRS)
  • Fatigue damage equivalent power spectral densities (PSD)
  • Hurty-Craig-Bampton model checks
  • Coupled loads analysis tools
  • Statistics tools for computing k-factors (for tolerance bounds and intervals) and for order statistics
  • A data-cursor for interacting with 2D/3D matplotlib plots
  • Eigensystem Realization Algorithm
  • Force limiting analysis tools
  • Read/write Nastran output4 (.op4) files
  • Limited capability to read Nastran output2 (.op2) files
  • Rainflow cycle counting
  • Resample data with the Lanczos method
  • A "vectorized" writing module
  • Eigensolution with the subspace iteration method
  • Tools for working with the "nas2cam" Nastran DMAP
  • Other miscellaneous tools

Installation

pyYeti runs on Python 3.10 or later. The dependencies are NumPy, SciPy, Matplotlib, pandas and setuptools. These are all conveniently provided by the Anaconda Python distribution: https://www.anaconda.com/distribution/.

You can install pyYeti via pip:

python -m pip install pyyeti

or:

python -m pip install --user --upgrade pyyeti

You can also install from source, doing something like this:

git clone https://github.com/twmacro/pyyeti.git
cd pyyeti
python -m build -n
cd dist
python -m pip install <filename>.whl

Note that for the C version of the rainflow cycle counter, you also need a C compiler installed. However, the speed of the pure Python version is on par with the C version if you have Numba installed. In fact, the C version may be removed in the future after making Numba a required dependency.

Documentation

pyYeti documentation is here:

http://pyyeti.readthedocs.org/

Tutorials

The documentation contains several tutorials in the documentation. These are also available (in their original form) as Jupyter notebooks:

https://github.com/twmacro/pyyeti/tree/master/docs/tutorials

License

BSD. See LICENSE.txt

Contributing to pyYeti

Contributions are much appreciated. Bug reports, documentation updates, feature requests, and code enhancements are all great ways to contribute.