Davout

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

Link to the booklet on installation of a miscelaneous of software: https://www.overleaf.com/read/wbxhncmtnmkm#0eb73b
Link to the booklet on python programming: https://www.overleaf.com/read/hcmfzzsrhndj#00fdb1
Link to the booklet on writing using LaTeX: https://www.overleaf.com/read/sdrvfrpdjhft#66d6f9
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:

Geometry and mesh generation ---------------------------------------------------------> CuboidGmsh
Finite element analysis ----------------------------------------------------------------------> MultiMech
ANN models definition and training ----------------------------------------------------> DeepMech
Post-processing automation using ParaView ---------------------------------------> GraphUtilities
Generation of figures, collages, and slides using own graphical tools ----> GraphUtilities
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

Metadata

Release files for Davout 0.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for Davout 0.1.1
File	Size	Uploaded
davout-0.1.1.tar.gz	775.4 kB	Mar 13, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for Davout 0.1.1
File	Interpreter	ABI	Platform	Reset
davout-0.1.1-py3-none-any.whl 913.8 kB Mar 13, 2026	Python 3	none	any	Details

Total release size: 1.7 MB

Release files / davout-0.1.1.tar.gz

Download URL	davout-0.1.1.tar.gz
Size	775.4 kB
Tags	Source
SHA-256 checksum How to use checksums	`ed5904b06ddbd5698b5e8118d52275c9641ccaf9cb6c298565b14d9c2dc88649`
BLAKE2b-256 checksum How to use checksums	`9e5533b756c18fa2ce71d47f3e1bbe85887b578e98004784e312efab8d992810`
Upload date	Mar 13, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.12.3`

Release files / davout-0.1.1-py3-none-any.whl

Download URL	davout-0.1.1-py3-none-any.whl
Size	913.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`5ccad75ef3cfb671ea0c9caf7bb2d29478d335488fedf33ebcf603a49a0b5fbc`
BLAKE2b-256 checksum How to use checksums	`d9b945ccdd265454bb5ea0df45170b4158ab17764ad416a6500b64761f28b24d`
Upload date	Mar 13, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.12.3`