Published October 27, 2025 | Version v1
Dataset Open

Dataset generated in "ANN-based surrogate model for the structural evaluation of jacket support structures for offshore wind turbines"

  • 1. ROR icon Universidad de Las Palmas de Gran Canaria

Description

This repository contains the train and test datasets used in the following scientific articles:

  • "ANN-based surrogate model for the structural evaluation of jacket support structures for offshore wind turbines" by Román Quevedo-Reina, Guillermo M. Álamo, Juan J. Aznárez
    (https://doi.org/10.1016/j.oceaneng.2024.119984)
  • "Feasibility analysis of jacket support structures for offshore wind turbines employing a regression-based artificial neural network model" by Román Quevedo-Reina, Guillermo M. Álamo, Juan J. Aznárez
    (https://doi.org/10.1016/j.compstruc.2025.108004)

This dataset was used to train the artifficial neural networks described in the papers above and available at:

  • https://doi.org/10.5281/zenodo.15132439
  • https://doi.org/10.5281/zenodo.15166283

Notes

The datasets are available in two formats: ".mat" (MATLAB file) and ".csv" (comma-separated values).

The table contains the following details:

  • Each row represents a single sample.
  • The matrix has 105 columns, corresponding to the 74 input variables and 31 outputs of the structural model, all of them described in the cited scientific article.

Files

dataset_test.csv

Files (585.9 MB)

Name Size Download all
md5:0625e0b4353e80140171d1a96cffbd1f
59.0 MB Preview Download
md5:9d8e22c1e55a113f6e4e9a5de3154d3d
24.6 MB Download
md5:1fe9046c0ef415df1609b7e510d92117
354.5 MB Preview Download
md5:bb4a6c71c0a69974815a7c1dbfc37cd6
147.8 MB Download

Additional details

Related works

Is described by
Journal article: 10.1016/j.oceaneng.2024.119984 (DOI)
Is referenced by
Journal article: 10.1016/j.compstruc.2025.108004 (DOI)

Funding

Agencia Estatal de Investigación
Design of offshore wind turbine supports including advanced models of dynamic soil-structure interaction and seismic action using neural nets (PID2020-120102RB-I00) MCIN/ AEI/ 10.13039/501100011033
Ministerio de Universidades
FPU research fellowship (FPU19/04170)