solidspy


Namesolidspy JSON
Version 1.1.0.post1 PyPI version JSON
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home_pagehttps://github.com/AppliedMechanics-EAFIT/SolidsPy
SummaryA simple Finite Element program
upload_time2023-11-04 14:39:57
maintainer
docs_urlNone
authorNicolas Guarin-Zapata <nguarinz@eafit.edu.co>, Juan Gomez <jgomezc1@eafit.edu.co>
requires_python
licenseMIT
keywords finite-elements fem scientific-computing
VCS
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requirements No requirements were recorded.
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coveralls test coverage No coveralls.
            # SolidsPy: 2D-Finite Element Analysis with Python

![](https://raw.githubusercontent.com/AppliedMechanics-EAFIT/SolidsPy/master/docs/img/wrench.png) 
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[![Documentation Status](https://readthedocs.org/projects/solidspy/badge/?version=latest)](https://solidspy.readthedocs.io/en/latest/)
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[![image](https://zenodo.org/badge/48294591.svg)](https://zenodo.org/badge/latestdoi/48294591)

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}
}
```



            

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    "description": "# SolidsPy: 2D-Finite Element Analysis with Python\r\n\r\n![](https://raw.githubusercontent.com/AppliedMechanics-EAFIT/SolidsPy/master/docs/img/wrench.png) \r\n[![PyPI download](https://img.shields.io/pypi/v/solidspy.svg)](https://pypi.python.org/pypi/continuum_mechanics)\r\n[![Documentation Status](https://readthedocs.org/projects/solidspy/badge/?version=latest)](https://solidspy.readthedocs.io/en/latest/)\r\n[![Downloads frequency](https://img.shields.io/pypi/dm/solidspy)](https://pypistats.org/packages/solidspy)\r\n[![image](https://zenodo.org/badge/48294591.svg)](https://zenodo.org/badge/latestdoi/48294591)\r\n\r\nA simple finite element analysis code for 2D elasticity problems. The code uses\r\nas input simple-to-create text files defining a model in terms of nodal,\r\nelement, material and load data.\r\n\r\n-   Documentation: <http://solidspy.readthedocs.io>\r\n-   GitHub: <https://github.com/AppliedMechanics-EAFIT/SolidsPy>\r\n-   PyPI: <https://pypi.org/project/solidspy/>\r\n-   Free and open source software: [MIT license](http://en.wikipedia.org/wiki/MIT_License)\r\n\r\n## Features\r\n\r\n-  It is based on an open-source environment.\r\n-  It is easy to use.\r\n-  The code allows to find displacement, strain and stress solutions\r\n   for arbitrary two-dimensional domains discretized into finite\r\n   elements and subject to point loads.\r\n-  The code is organized in independent modules for pre-processing,\r\n   assembly and post-processing allowing the user to easily modify it\r\n   or add features like new elements or analyses pipelines.\r\n-  It was created with academic and research purposes.\r\n-  It has been used to tech the following courses:\r\n    - Introduction to Solid Mechanics.\r\n    - Computational Modeling.\r\n    - Introduction to the Finite Element Methods.\r\n    - Introduction to Soil Mechanics.\r\n\r\n## Installation\r\n\r\nThe code is written in Python and it depends on `numpy`, and `scipy` and. It\r\nhas been tested under Windows, Mac, Linux and Android.\r\n\r\nTo install *SolidsPy* open a terminal and type:\r\n\r\n    pip install solidspy\r\n\r\nTo specify through a GUI the folder where the input files are stored you will\r\nneed to install [easygui](http://easygui.readthedocs.org/en/master/).\r\n\r\nTo easily generate the required SolidsPy text files out of a\r\n[Gmsh](http://gmsh.info/) model you will need [meshio](https://github.com/nschloe/meshio).\r\n\r\nThese two can be installed with:\r\n\r\n    pip install easygui\r\n    pip install meshio\r\n\r\n## How to run a simple model\r\n\r\nFor further explanation check the [docs](http://solidspy.readthedocs.io/en/latest/).\r\n\r\nLet's suppose that we have a simple model represented by the following files\r\n(see [tutorials/square example](http://solidspy.readthedocs.io/en/latest/tutorials/square_example.html)\r\nfor further explanation).\r\n\r\n-   `nodes.txt`\r\n\r\n```\r\n    0  0.00  0.00   0  -1\r\n    1  2.00  0.00   0  -1\r\n    2  2.00  2.00   0   0\r\n    3  0.00  2.00   0   0\r\n    4  1.00  0.00  -1  -1\r\n    5  2.00  1.00   0   0\r\n    6  1.00  2.00   0   0\r\n    7  0.00  1.00   0   0\r\n    8  1.00  1.00   0   0\r\n```\r\n\r\n\r\n-   `eles.txt`\r\n\r\n```\r\n    0   1   0   0   4   8   7\r\n    1   1   0   4   1   5   8\r\n    2   1   0   7   8   6   3\r\n    3   1   0   8   5   2   6\r\n```\r\n\r\n\r\n-   `mater.txt`\r\n\r\n```\r\n    1.0  0.3\r\n```\r\n\r\n\r\n-   `loads.txt`\r\n\r\n```\r\n    3  0.0  1.0\r\n    6  0.0  2.0\r\n    2  0.0  1.0\r\n```\r\n\r\n\r\nRun it in Python as follows:\r\n\r\n``` python\r\nimport matplotlib.pyplot as plt  # load matplotlib\r\nfrom solidspy import solids_GUI  # import our package\r\ndisp = solids_GUI()  # run the Finite Element Analysis\r\nplt.show()    # plot contours\r\n```\r\n\r\nFor Mac users it is suggested to use an IPython console to run the example.\r\n\r\n## License\r\n\r\nThis project is licensed under the [MIT license](http://en.wikipedia.org/wiki/MIT_License).\r\nThe documents are licensed under [Creative Commons Attribution License](http://creativecommons.org/licenses/by/4.0/).\r\n\r\n## Citation\r\n\r\nTo cite SolidsPy in publications use\r\n\r\n> Nicol\u00e1s Guar\u00edn-Zapata, Juan Gomez (2023). SolidsPy: Version 1.1.0\r\n> (Version v1.1.0). Zenodo. <https://doi.org/10.5281/zenodo.7694030>\r\n\r\nA BibTeX entry for LaTeX users is\r\n\r\n```bibtex\r\n@software{solidspy,\r\n title = {SolidsPy: 2D-Finite Element Analysis with Python},\r\n version = {1.1.0},\r\n author = {Guar\u00edn-Zapata, Nicol\u00e1s and G\u00f3mez, Juan},\r\n year = 2023,\r\n keywords = {Python, Finite elements, Scientific computing, Computational mechanics},\r\n abstract = {SolidsPy is a simple finite element analysis code for 2D elasticity\r\n problems. The code uses as input simple-to-create text files defining a model\r\n in terms of nodal, element, material and load data.},\r\n url = {https://github.com/AppliedMechanics-EAFIT/SolidsPy},\r\n doi = {https://doi.org/10.5281/zenodo.7694030}\r\n}\r\n```\r\n\r\n\r\n",
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