Training data and models for cINN model updating of finite element beam models of wind turbine blades

doi:doi:10.25835/0042221

Training data and models for cINN model updating of finite element beam models of wind turbine blades

The dataset is directly related to the GitHub-Repository: https://github.com/IWES-LUH/Beam-ModelUpdating-cINN It contains training data and finished models of the conditional Invertible Neural Network trained for model updating of wind turbine blades. The applied model is the 20m-DemoBlade of the SmartBlades2 research project.

Data and Resources

Training Data.zip
The training data. Load with python package dill. File size: 862.8 MByte
Explore
- More information
- Download
Models.zip.zip
Models trained with 30.000 samples for the full and the reduced input... File size: 804.0 KByte
Explore
- More information
- Download

Cite this as

Pablo Noever-Castelos (2022). Training data and models for cINN model updating of finite element beam models of wind turbine blades [Data set]. LUIS. https://doi.org/10.25835/0042221

Retrieved: 14:06 29 Sep 2026 (UTC)

BibTeX

Additional Info

Field	Value
Author	Pablo Noever-Castelos
Maintainer	Pablo Noever-Castelos
Last Updated	January 20, 2022, 13:49 (UTC)
Created	January 10, 2022, 10:46 (UTC)
License	Creative Commons Attribution-NonCommercial 3.0
Dataset Size	863.6 MByte