Metadata-Version: 2.1
Name: sigmaepsilon.solid.fem
Version: 1.0.4
Summary: Finite Element Method for Solid Structures in Python.
Home-page: https://github.com/sigma-epsilon/sigmaepsilon.solid.fem
License: MIT
Keywords: engineering,fea,fem,finite element method,mechanics,solid mechanics,optimization,structural analysis,structural engineering,structural optimization,structural simulation,structural design,structural engineering,Python,Python3,Python 3,Python3.10,Python 3.10,Python3.x,Python 3.x
Author: Bence Balogh
Author-email: bencebalogh@sigmaepsilon.com
Maintainer: Bence Balogh
Maintainer-email: bencebalogh@sigmaepsilon.com
Requires-Python: >=3.10,<3.12
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Dist: sigmaepsilon-mesh (>=2.3.2)
Requires-Dist: sigmaepsilon-solid-material (>=1.0.0,<2.0.0)
Requires-Dist: xarray (>=2024.2.0,<2025.0.0)
Project-URL: Documentation, https://sigmaepsilonsolidfem.readthedocs.io/en/latest/?badge=latest
Project-URL: Repository, https://github.com/sigma-epsilon/sigmaepsilon.solid.fem
Description-Content-Type: text/markdown

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

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> **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!

## Highlights

Head over to the Quick Examples page in the docs to explore our gallery of examples showcasing what SigmaEpsilon can do! Want to test-drive SigmaEpsilon? All of the examples from the gallery are live on MyBinder for you to test drive without installing anything locally: Launch on Binder.

### Overview

* A `solid` submodule to analyze and optimize solid structures of all kinds with the **Finite Element Method**. The implementations so far only cover linear behaviour, but with practically no limits on the complexity of the shape and topology of the domain under investigation.

## Installation

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

```console
>>> pip install sigmaepsilon.solid
```

or chechkout with the following command using GitHub CLI

```console
gh repo clone sigma-epsilon/sigmaepsilon.solid
```

and install from source by typing

```console
>>> pip install .
```

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

```console
>>> pip install ".[test]"
```

## **Documentation**

Refer to the [docs](https://sigmaepsilon.readthedocs.io/en/latest/) 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

```console
>>> 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.

