Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/134949
Title: | Global Sensitivity Analysis of the Fundamental Frequency of Jacket-Supported Offshore Wind Turbines Using Artificial Neural Networks | Authors: | Quevedo Reina, Román Álamo Meneses, Guillermo Manuel Aznárez González, Juan José |
UNESCO Clasification: | 3319 Tecnología naval | Keywords: | Artificial Neural Networks Fundamental Frequency Jacket Structure Offshore Wind Turbine Sensitivity Analysis, et al |
Issue Date: | 2024 | Journal: | Journal of Marine Science and Engineering | Abstract: | Determining the fundamental frequency of Offshore Wind Turbines (OWTs) is crucial to ensure the reliability and longevity of the structure. This study presents a global sensitivity analysis of the fundamental frequency of OWTs on jacket foundations. Monte Carlo sampling was employed to generate a diverse set of wind turbines, emplacements, and jacket designs, ensuring that the generated samples are realistic and yield relevant conclusions. The fundamental frequency and its partial derivatives were obtained via a previously developed ANN model. The relative sensitivities were computed to facilitate the comparison of their influence. The results demonstrate that wind turbine properties are the most relevant variables affecting the fundamental frequency, with a decrement in frequency caused by tower height and rotor-nacelle assembly mass, as well as an increment due to the section dimensions of the tower, particularly at its base. Soil properties have a significant effect on foundation stiffness for soft and light soils but can be neglected for hard and heavy soils. The diameter and thickness of the braces also show different relevance depending on their dimensions, producing rigid links between legs for greater sections. This study provides a measure of the variables influencing the fundamental frequency, facilitating a deeper comprehension of this phenomenon. | URI: | http://hdl.handle.net/10553/134949 | ISSN: | 2077-1312 | DOI: | 10.3390/jmse12112011 | Source: | Journal of Marine Science and Engineering [EISSN 2077-1312],v. 12 (11), p. 1-14 |
Appears in Collections: | Artículos |
SCOPUSTM
Citations
1
checked on Jan 12, 2025
WEB OF SCIENCETM
Citations
1
checked on Jan 12, 2025
Google ScholarTM
Check
Altmetric
Share
Export metadata
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.