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Solvers for finding admissible thrust networks in vaulted masonry structures

Home Page: https://blockresearchgroup.github.io/compas_tno/

License: Other

Python 99.71% Batchfile 0.01% Shell 0.02% HTML 0.12% CSS 0.14%
assessment masonry structural-analysis thrust-network-analysis

compas_tno's Introduction

COMPAS TNO

build GitHub - License PyPI - Python Version DOI

COMPAS TNO is a Python package to find admissible thrust networks in masonry vaulted structures built in the COMPAS framework.

Based on Ricardo Maia Avelino's doctoral thesis at ETH Zurich, this Package enables finding multi-objective particular internal stress solutions in masonry vaults, as the ones presented below.

COMPAS TNO Objectives

Installation

The recommended an editable install of COMPAS TNO with Anaconda/conda. Here we create an environment called tno and install it:

conda create -n tno -c conda-forge python COMPAS triangle compas_view2
conda activate tno
git clone https://github.com/BlockResearchGroup/compas_tno.git
cd compas_tno
pip install -e .

First Steps: Read the docs

A walkthrough the package is available in the documentation:

Issue tracker

If you find a bug, please help us solve it by filing a report.

Citing

If you use COMPAS TNO for your research, cite one of our papers.

License

COMPAS TNO is released under the MIT license.

compas_tno's People

Contributors

licini avatar petrasvestartas avatar ricardoavelino avatar tomvanmele avatar

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compas_tno's Issues

version compatibility

Hello.
I use Rhino 6 and I already Installed the compas and all related packages for using compas-tno but I receive this error while using it:
ModuleNotFoundError: No module named 'compas_tno.geometry'
Can someone tell me if because of the version incompatibility? which version of packages should install to use with Rhino6?
I have these versions installed:

Rhino 6
compas 1.17.5
compas-ags 1.2.0
compas-cloud 0.4.1
compas-skeleton 1.1.4
compas-tna 0.2.0
compas-tno 0.1.0
compas-triangle 1.1.0
compas-ui 0.9.0
compas_view2 0.9.2
cvxpy 1.3.1
cyipopt 1.2.0
ipopt 3.14.11
mosek 10.0.40
python 3.8.16

Thanks in advance

Partial Reactions

Work Out rollers so they work in the optimisation as well as in the independents selection.

Variables of the optimisation

Optimisations takes as parameters 'q's. Other parameters are also important - example t - what's the best way to deal with them?

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