Code Monkey home page Code Monkey logo

solidpygmsh's Introduction

SolidsPy+pygmsh: 2D-Finite Element Analysis with pygmsh

for SolidsPy please see:

for Pygmsh please see:

https://github.com/nschloe/pygmsh/tree/master/pygmsh

Features

  • It is based on an open-source SolidsPy+ Pygmsh .
  • 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:
    • IC0285 Computational Modeling (Universidad EAFIT).
    • IC0602 Introduction to the Finite Element Methods (Universidad EAFIT).

Installation

The code is written in Python and it depends on numpy, scipy and sympy. 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.

To easily generate the required SolidsPy text files out of a Gmsh model you will need 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.

Let's suppose that we have a simple model represented by the following files (see tutorials/square example 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:

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. The documents are licensed under Creative Commons Attribution License.

Citation

To cite SolidsPy in publications use

Juan Gómez, Nicolás Guarín-Zapata (2018). SolidsPy: 2D-Finite Element Analysis with Python, <https://github.com/AppliedMechanics-EAFIT/SolidsPy>.

A BibTeX entry for LaTeX users is

@software{solidspy,
 title = {SolidsPy: 2D-Finite Element Analysis with Python},
 author = {Gómez, Juan and Guarín-Zapata, Nicolás},
 year = 2018,
 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}
}

solidpygmsh's People

Contributors

jimingkang avatar

Watchers

James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.