SigmaEpsilon.Solid - High-Performance Computational Solid Mechanics in Python

Warning This package is under active development and in an alpha stage. Come back later, or star the repo to make sure you don’t miss the first stable release!

Installation

sigmaepsilon.solid can be installed from PyPI using pip on Python >= 3.7:

>>> pip install sigmaepsilon.solid.fem

or chechkout with the following command using GitHub CLI

gh repo clone sigma-epsilon/sigmaepsilon.solid.fem

and install from source by typing

>>> pip install .

If you want to run the tests, you can install the package along with the necessary optional dependencies like this

>>> pip install ".[test]"

Documentation

Refer to the docs for further details on installation and usage.

Testing

To run all tests, open up a console in the root directory of the project and type the following

>>> python -m unittest

Dependencies

We use Numba's JIT compiler to speed up heavy computations, and it relies on the C++ redistributable package. It is likely already installed on your system, but if it is not, you can download it from Microsoft's website under "Other Tools, Frameworks, and Redistributables".

must have

• Numba, NumPy, SciPy, SymPy, awkward

strongly suggested

• PyVista, Plotly, matplotlib, sectionproperties

optional

• networkx

License

SigmaEpsilon.Solid is Copyright(C) 2022: Bence Balogh

All rights reserved.

This program is dual-licensed as follows:

(1) You may use SigmaEpsilon as free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 3 of the License, or (at your option) any later version.

In this case the program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License at http://www.gnu.org/licenses/gpl.txt or in the LICENSE file of this repository for more details.

(2) You may use SigmaEpsilon as part of a commercial software. In this case a proper agreement must be reached with the Authors based on a proper licensing contract.