ROSS: Rotordynamic Open-Source Software

ROSS is a library written in Python for rotordynamic analysis. The source code is available at github.

For a fast introduction to the library you can check out the tutorials and examples. These are also available on binder.

Additional Packages

ROSS has a core library in which you can create elements (shaft, disks, bearings etc.) and assemble these elements in a rotor object where you can run analysis. Additional packages are also available:

FluidFlow is a fluid dynamics package where you can create bearings from geometrical and fluid parameters and check the bearing pressure field, equilibrium position, evaluate the effect of wear on bearing coefficients and more.

ROSS-Stochastic enables you to add statistical analysis to your project by You can create rotor models with uncertainties to any parameter of any element and evaluate how these uncertainties impact your model, running the same analyzes presented on ROSS, and checking for percentiles and confidence intervals.

ROSS-Machine Learning is a Deep Learning package from ROSS, based in Keras and Scikit-Learn where you can create your own surrogate models using data from both experimental or computational models. This package returns a .h5 file that can be used in ROSS, Stochastic ROSS or any other package written in python.

Contents

• Installation
• Tutorials
• Examples
• Download notebooks
• API Reference
• Contributing
• Citing
• Release notes