Published April 24, 2024 | Version v2
Dataset Open

Training & testing data for the publication "Gaussian Mixture autoencoder for uncertainty-aware damage identification in a Floating Offshore Wind Turbine"

Creators

  • 1. TECNALIA, Basque Research and Technology Alliance (BRTA), Parque Científico y Tecnológico de Bizkaia, Astondo bidea, Edificio 700, E- 48160 Derio, Spain
  • 2. Basque Center for Applied Mathematics (BCAM), Bilbao, Spain
  • 3. University of the Basque Country (UPV/EHU) Leioa, Spain
  • 4. Ikerbasque (Basque Foundation for Sciences), Bilbao, Spain
  • 5. Institute of Structural Engineering, Department of Civil, Environmental & Geomatic Engineering, ETH Zurich, 8093 Zurich, Switzerland

Description

6-DOF Dynamic response of the DeepCWind OC4 semi-submersible platform, simulated in OpenFAST. Statistical measures have been obtained for each DOF, including means, standard deviations, top two peak frequencies, and zero-th momentum. Two forms of mooring line failure have been simulated: biological fouling and anchoring. 

Files

Data_anchoring.csv

Files (70.6 MB)

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md5:0ed9a53b5a506df6c7ac792a31246c98
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md5:52dbf1094565569a5b9cb0228356fd42
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md5:d146787ebca1d47c58698c997fa5cd08
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Additional details

Related works

Is supplement to
Publication: 10.5194/wes-2024-160 (DOI)

Software

Repository URL
https://github.com/anafdezna/GMM_Project