Continuum Mechanics and Structures Division » Surrogate model based on ANN for the evaluation of the fundamental frequency of offshore wind turbines supported on jackets

Continuum Mechanics and Structures Division

Surrogate model based on ANN for the evaluation of the fundamental frequency of offshore wind turbines supported on jackets

This page contains a link to the best ensemble model as presented in:

R. Quevedo-Reina, G.M. Álamo, L.A. Padrón, J.J. Aznárez Surrogate model based on ANN for the evaluation of the fundamental frequency of offshore wind turbines supported on jackets, Computers & Structures, 274, 106917, 2023.

This is an enssemble model of 20 artificial neural networks with 22 neurons in the input layer, 4 hidden layers with 125 neurons per hidden layer, and 1 neuron in the output layer.

This model was trained using the dataset described in the paper above and available at: https://doi.org/10.5281/zenodo.14732047

Download source code

The Matlab code for running the model can be downloaded from this link, together with further information

Financing

This work has been developed with the support of research projects:

PID2020-120102RB-I00, funded by the Agencial Estatal de Investigación of Spain, MCIN/AEI/10.13039/501100011033.

Copyright and disclaimers:

This software is distributed following a CC BY-NC-ND 4.0 licence. It can not be used for any commercial applications and distributions without prior written permissions of the original authors. Proper acknowledgment should be given in publications resulting from the use of these software. There is no warranty, expressed or implied, for the use of these software. The authors are not responsible for any possible damages in using these software and no technical support is available to users of these software.


	Continuum Mechanics and Structures Division
Home Members Publications Research Projects Structural Dynamics Lab Software	Surrogate model based on ANN for the evaluation of the fundamental frequency of offshore wind turbines supported on jackets This page contains a link to the best ensemble model as presented in: R. Quevedo-Reina, G.M. Álamo, L.A. Padrón, J.J. Aznárez Surrogate model based on ANN for the evaluation of the fundamental frequency of offshore wind turbines supported on jackets, Computers & Structures, 274, 106917, 2023. This is an enssemble model of 20 artificial neural networks with 22 neurons in the input layer, 4 hidden layers with 125 neurons per hidden layer, and 1 neuron in the output layer. This model was trained using the dataset described in the paper above and available at: https://doi.org/10.5281/zenodo.14732047 Download source code The Matlab code for running the model can be downloaded from this link, together with further information Financing This work has been developed with the support of research projects: PID2020-120102RB-I00, funded by the Agencial Estatal de Investigación of Spain, MCIN/AEI/10.13039/501100011033. Copyright and disclaimers: This software is distributed following a CC BY-NC-ND 4.0 licence. It can not be used for any commercial applications and distributions without prior written permissions of the original authors. Proper acknowledgment should be given in publications resulting from the use of these software. There is no warranty, expressed or implied, for the use of these software. The authors are not responsible for any possible damages in using these software and no technical support is available to users of these software.
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