solidspy 1.1.0.post1
A simple Finite Element program
License: MIT
Keywords: finite-elements fem scientific-computing

# SolidsPy: 2D-Finite Element Analysis with Python

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A simple finite element analysis code for 2D elasticity problems. The code uses
as input simple-to-create text files defining a model in terms of nodal,
element, material and load data.

-   Documentation: <http://solidspy.readthedocs.io>
-   GitHub: <https://github.com/AppliedMechanics-EAFIT/SolidsPy>
-   PyPI: <https://pypi.org/project/solidspy/>
-   Free and open source software: [MIT license](http://en.wikipedia.org/wiki/MIT_License)

## Features

-  It is based on an open-source environment.
-  It is easy to use.
-  The code allows to find displacement, strain and stress solutions
   for arbitrary two-dimensional domains discretized into finite
   elements and subject to point loads.
-  The code is organized in independent modules for pre-processing,
   assembly and post-processing allowing the user to easily modify it
   or add features like new elements or analyses pipelines.
-  It was created with academic and research purposes.
-  It has been used to tech the following courses:
    - Introduction to Solid Mechanics.
    - Computational Modeling.
    - Introduction to the Finite Element Methods.
    - Introduction to Soil Mechanics.

## Installation

The code is written in Python and it depends on `numpy`, and `scipy` and. It
has been tested under Windows, Mac, Linux and Android.

To install *SolidsPy* open a terminal and type:

    pip install solidspy

To specify through a GUI the folder where the input files are stored you will
need to install [easygui](http://easygui.readthedocs.org/en/master/).

To easily generate the required SolidsPy text files out of a
[Gmsh](http://gmsh.info/) model you will need [meshio](https://github.com/nschloe/meshio).

These two can be installed with:

    pip install easygui
    pip install meshio

## How to run a simple model

For further explanation check the [docs](http://solidspy.readthedocs.io/en/latest/).

Let's suppose that we have a simple model represented by the following files
(see [tutorials/square example](http://solidspy.readthedocs.io/en/latest/tutorials/square_example.html)
for further explanation).

-   `nodes.txt`

```
    0  0.00  0.00   0  -1
    1  2.00  0.00   0  -1
    2  2.00  2.00   0   0
    3  0.00  2.00   0   0
    4  1.00  0.00  -1  -1
    5  2.00  1.00   0   0
    6  1.00  2.00   0   0
    7  0.00  1.00   0   0
    8  1.00  1.00   0   0
```


-   `eles.txt`

```
    0   1   0   0   4   8   7
    1   1   0   4   1   5   8
    2   1   0   7   8   6   3
    3   1   0   8   5   2   6
```


-   `mater.txt`

```
    1.0  0.3
```


-   `loads.txt`

```
    3  0.0  1.0
    6  0.0  2.0
    2  0.0  1.0
```


Run it in Python as follows:

``` python
import matplotlib.pyplot as plt  # load matplotlib
from solidspy import solids_GUI  # import our package
disp = solids_GUI()  # run the Finite Element Analysis
plt.show()    # plot contours
```

For Mac users it is suggested to use an IPython console to run the example.

## License

This project is licensed under the [MIT license](http://en.wikipedia.org/wiki/MIT_License).
The documents are licensed under [Creative Commons Attribution License](http://creativecommons.org/licenses/by/4.0/).

## Citation

To cite SolidsPy in publications use

> Nicolás Guarín-Zapata, Juan Gomez (2023). SolidsPy: Version 1.1.0
> (Version v1.1.0). Zenodo. <https://doi.org/10.5281/zenodo.7694030>

A BibTeX entry for LaTeX users is

```bibtex
@software{solidspy,
 title = {SolidsPy: 2D-Finite Element Analysis with Python},
 version = {1.1.0},
 author = {Guarín-Zapata, Nicolás and Gómez, Juan},
 year = 2023,
 keywords = {Python, Finite elements, Scientific computing, Computational mechanics},
 abstract = {SolidsPy is a simple finite element analysis code for 2D elasticity
 problems. The code uses as input simple-to-create text files defining a model
 in terms of nodal, element, material and load data.},
 url = {https://github.com/AppliedMechanics-EAFIT/SolidsPy},
 doi = {https://doi.org/10.5281/zenodo.7694030}
}
```