Automating tower geometry and sectional analysis #3121
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Thanks for your contribution to the community! We should add a link to this in our documentation:
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Hi again, I wanted to share an update since the first post in December. The repository now includes a HISTWIN tower example a one-script workflow The example models the tower as a circular hollow tapered shell (H = 76.15 m, What the plot shows Each polygon is colored by its own normalized material participation factor w(z) - a scalar field that scales the stiffness contribution:
In this example the shell law introduces two localized Gaussian reductions The law is a phenomenological equivalent field - it is not a direct fatigue model, How to run it Full instructions for both Linux/macOS and Windows (PowerShell) are included. The repository also includes instructions for Linux/macOS and Windows (PowerShell), together with a complete CSF -> BModes -> ElastoDyn -> OpenFAST workflow example: giovanniboscu/continuous-section-field - actions-examples/histwin Quick start on Linux/macOS: pip install csfpy
# clone only the histwin example
git clone --filter=blob:none --no-checkout https://github.com/giovanniboscu/continuous-section-field.git
cd continuous-section-field
git sparse-checkout init --cone
git sparse-checkout set actions-examples/histwin
git checkout main
cd actions-examples/histwin
chmod +x create_yaml-histwin.sh
./create_yaml-histwin.sh
./create_yaml-histwin.sh -action
csf-actions histwin_tower.yaml action.yamlThe Repository Thanks again for adding CSF to the OpenFAST documentation. |
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Hi everyone,
I'm sharing a small Python utility I've been developing called Continuous Section Field (CSF). It's currently in a beta stage (v0.9.1), and I've used the NREL 5-MW Reference Tower as a test case for geometry discretization.
The tool focuses on:
I'm making the code available in case it's of interest to anyone working with tower geometry or needing a starting point for sectional analysis. Since it is a beta version, any feedback or suggestions on the approach would be greatly appreciated.
Thanks!
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