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mechmean

Mean field methods in the context of continuum mechanics with special focus on orientation averaging homogenization

https://github.com/juliankarlbauer/mechmean

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (17.1%) to scientific vocabulary

Keywords

continuum-mechanics mean-field mean-field-theory mechanical-engineering mechanics python
Last synced: 6 months ago · JSON representation ·

Repository

Mean field methods in the context of continuum mechanics with special focus on orientation averaging homogenization

Basic Info
  • Host: GitHub
  • Owner: JulianKarlBauer
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 2.76 MB
Statistics
  • Stars: 5
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 3
Topics
continuum-mechanics mean-field mean-field-theory mechanical-engineering mechanics python
Created over 4 years ago · Last pushed over 3 years ago
Metadata Files
Readme License Citation

README.md

PyPI version Documentation status DOI Black License: MIT Binder

Mechmean

This Python package contains selected mean field methods in the context of continuum mechanics with special focus on orientation averaging homogenization <!-- and is utilied , e.g., in bibtex @article{insertdoihere?, author = {Julian Karl Bauer and Thomas Bhlke}, title ={On the dependence of orientation averaged mean field homogenization on planar fourth order fiber orientation tensors}, journal = {?}, } -->

The implementation is oriented as close as possible to the cited references and no emphasis is placed on run time optimization. Therefore, this package should be considered as a reference implementation which can be used to cross-validate performance-optimized implementation.

Please see license, acknowledgment and cite the latest Zenodo-DOI <!-- and the paper given above. -->

Installation PyPI version

Install with pip following instructions on Python Package Index, i.e.,

bash pip install mechmean

or install from local files

  • Clone this repository to your machine
  • Open a terminal and navigate to your local clone
  • Install the package from the local clone into the current environment in develop mode: shell python setup.py develop

Note: Develop vs. install

Examples

Both example notebooks and example scripts are rendered here and given as source here.

Acknowledgment

The research documented in this repository has been funded by the German Research Foundation (DFG, Deutsche Forschungsgemeinschaft) - project number 255730231. The support by the German Research Foundation within the International Research Training Group Integrated engineering of continuous-discontinuous long fiber reinforced polymer structures (GRK 2078) is gratefully acknowledged.

Owner

  • Name: JulianKarlBauer
  • Login: JulianKarlBauer
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "Mean field homogenization in the context of continuum mechanics with special focus on orientation averaging homogenization"
authors:
- family-names: "Bauer"
  given-names: "Julian Karl"
  orcid: "https://orcid.org/0000-0002-4931-5869"
title: "mechmean"
doi: 10.5281/zenodo.5938012
url: "https://github.com/JulianKarlBauer/mechmean"

GitHub Events

Total
  • Watch event: 1
Last Year
  • Watch event: 1

Committers

Last synced: 8 months ago

All Time
  • Total Commits: 110
  • Total Committers: 1
  • Avg Commits per committer: 110.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Julian Karl Bauer j****r@g****e 110
Committer Domains (Top 20 + Academic)
gmx.de: 1

Issues and Pull Requests

Last synced: 8 months ago

All Time
  • Total issues: 0
  • Total pull requests: 3
  • Average time to close issues: N/A
  • Average time to close pull requests: 23 days
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
Pull Request Authors
  • JulianKarlBauer (3)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 22 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 4
  • Total maintainers: 1
pypi.org: mechmean

Mechmean contains selected mean field methods in the context of continuum mechanics with special focus on orientation averaged homogenization

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 22 Last month
Rankings
Dependent packages count: 10.1%
Dependent repos count: 21.6%
Forks count: 22.6%
Average: 24.7%
Stargazers count: 25.0%
Downloads: 44.0%
Maintainers (1)
JulianKarlBauer
Last synced: 6 months ago

Dependencies

docs/requirements.txt pypi
  • ipykernel *
  • matplotlib *
  • mechkit *
  • nbsphinx *
  • numpydoc *
  • pybtex *
  • sphinxcontrib-bibtex *
  • sympy *
setup.py pypi
  • mechkit >=0.2.6
  • natsort *
  • numpy *
  • scipy *
.github/workflows/publish_pypi.yml actions
  • actions/checkout master composite
  • actions/setup-python v1 composite
  • pypa/gh-action-pypi-publish master composite
.github/workflows/pytest.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
docs/environment.yml conda
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environment.yaml conda
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  • _openmp_mutex 4.5
  • alabaster 0.7.12
  • appdirs 1.4.4
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