Davout 0.1.1

Scientific computing utilities combining FEM, ANN and tooling

Davout

Repository to store my workhorses and research-themed park. Github link to the repository and source files: https://github.com/Matheus-Janczkowski/Davout

1. Link to the booklet on installation of a miscelaneous of software: https://www.overleaf.com/read/wbxhncmtnmkm#0eb73b

2. Link to the booklet on python programming: https://www.overleaf.com/read/hcmfzzsrhndj#00fdb1

3. Link to the booklet on writing using LaTeX: https://www.overleaf.com/read/sdrvfrpdjhft#66d6f9

4. Link for the presentation template: https://www.overleaf.com/read/sbgxdphxswmm#6d7d64

Citation

https://doi.org/10.5281/zenodo.18806245

What does Davout do?

Workhorse for a research project that encompasses finite element analy- sis, machine learning, and multiscale analysis. Additionally, a set of tools is provided.

This package contains extensive implementation of hyperelastic problems in large strains using FEniCS and GMSH for mesh generation. A consistent and general purpose implementation of ANN models using tensorflow is al- so available. 

This suite performs and the corresponding module:

1. Geometry and mesh generation ---------------------------------------------------------> CuboidGmsh
2. Finite element analysis ----------------------------------------------------------------------> MultiMech
3. ANN models definition and training ----------------------------------------------------> DeepMech
4. Post-processing automation using ParaView ---------------------------------------> GraphUtilities
5. Generation of figures, collages, and slides using own graphical tools ----> GraphUtilities
6. LaTeX writing and formating using an ensemble of commands -------------> LaTeXUtilities

Philosophy and aims

Davout aims to be a unified software to accompany researchers in computational mechanics. Davout is inspired by a profound love for python and open software.

Davout stands on the shoulders of other massively mighty python packages, such as FEniCS, TensorFlow, GMSH, ParaView, and matplotlib.

Installation using pip

pip install Davout

Installation using installer file

Download the zip file, unzip it and move it to a suitable directory. Open the Davout folder, where setup.py is located. Open this path in terminal (using a virtual environment) and run the following command

python davout_installer.py

Installation using command

Download the repository, unzip the file, put it in a suitable place for you. Activate a python virtual environment (follow instruction in the booklet 1. to create a virtual environment if you don't have one), go into the directory where the files are located through the virtual environment terminal. Then, type in terminal (instead of python you might need to explicitely type in the version, like python3):

python setup.py bdist_wheel sdist

pip install .

To test the installation:

python

import Davout