Skip to main content

Discrete Element Models for Modern Masonry Design and Historic Masonry Assessment

Project description

COMPAS Discrete Element Models

Discrete Element Models for Modern Masonry Design and Historic Masonry Assessment

Installation

Stable releases can be installed from PyPI.

pip install compas_dem

To install the latest version for development, do:

git clone https://github.com/blockresearchgroup/compas_dem.git
cd compas_dem
pip install -e ".[dev]"

To install a version that supports equilibrium ananlysis of DEMs with CRA

cd compas_dem
conda env create -f environment.yml
conda activate dem-dev

Documentation

For further "getting started" instructions, a tutorial, examples, and an API reference, please check out the online documentation here: COMPAS Discrete Element Models docs

Issue Tracker

If you find a bug or if you have a problem with running the code, please file an issue on the Issue Tracker.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

compas_dem-0.5.0.tar.gz (37.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

compas_dem-0.5.0-py3-none-any.whl (45.4 kB view details)

Uploaded Python 3

File details

Details for the file compas_dem-0.5.0.tar.gz.

File metadata

  • Download URL: compas_dem-0.5.0.tar.gz
  • Upload date:
  • Size: 37.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.20

File hashes

Hashes for compas_dem-0.5.0.tar.gz
Algorithm Hash digest
SHA256 0aa214ce7c50d48d5221ddefa0f14b6f1365caf5d405a9f57cf10a47e0f4a72f
MD5 6fa6361f33c61e85ebe69ead078e3f44
BLAKE2b-256 06f0eafe5d290e19e2f1fb5c2dfcb373a6eaf6977bebbd37c0f833c3bfcbb7b8

See more details on using hashes here.

File details

Details for the file compas_dem-0.5.0-py3-none-any.whl.

File metadata

  • Download URL: compas_dem-0.5.0-py3-none-any.whl
  • Upload date:
  • Size: 45.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.20

File hashes

Hashes for compas_dem-0.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 68e4f5d9f1847e77718844cd6d0b3bd8b9dc47a33a1b781aba9a217c109bb88f
MD5 af9cd7e7b3823c7b3791d1fcd5e20379
BLAKE2b-256 67cdfce1572446e876e9562c254e9b5415839cedb1214a0ba0109baa46bea436

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page