Fatigue Stress Estimation for Submerged and Sub-Soil Welds of Offshore Wind Turbines on Monopiles Using Modal Expansion

The design of monopile foundations for offshore wind turbines is most often driven by fatigue. With the foundation price contributing to the total price of a turbine structure by more than 30%, wind farm operators seek to gain knowledge about the amount of consumed fatigue. Monitoring concepts are d...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Maximilian Henkel, Wout Weijtjens, Christof Devriendt
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
T
Acceso en línea:https://doaj.org/article/1d703538131d4028b23d70a39e19149d
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:1d703538131d4028b23d70a39e19149d
record_format dspace
spelling oai:doaj.org-article:1d703538131d4028b23d70a39e19149d2021-11-25T17:26:52ZFatigue Stress Estimation for Submerged and Sub-Soil Welds of Offshore Wind Turbines on Monopiles Using Modal Expansion10.3390/en142275761996-1073https://doaj.org/article/1d703538131d4028b23d70a39e19149d2021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/22/7576https://doaj.org/toc/1996-1073The design of monopile foundations for offshore wind turbines is most often driven by fatigue. With the foundation price contributing to the total price of a turbine structure by more than 30%, wind farm operators seek to gain knowledge about the amount of consumed fatigue. Monitoring concepts are developed to uncover structural reserves coming from conservative designs in order to prolong the lifetime of a turbine. Amongst promising concepts is a wide array of methods using in-situ measurement data and extrapolating these results to desired locations below water surface and even seabed using models. The modal decomposition algorithm is used for this purpose. The algorithm obtains modal amplitudes from acceleration and strain measurements. In the subsequent expansion step these amplitudes are expanded to virtual measurements at arbitrary locations. The algorithm uses a reduced order model that can be obtained from either a FE model or measurements. In this work, operational modal analysis is applied to obtain the required stress and deflection shapes for optimal validation of the method. Furthermore, the measurements that are used as input for the algorithms are constrained to measurements from the dry part of the substructure. However, with subsoil measurement data available from a dedicated campaign, even validation for locations below mud-line is possible. After reconstructing strain history in arbitrary locations on the substructure, fatigue assessment over various environmental and operational conditions is carried out. The technique is found capable of estimating fatigue with high precision for locations above and below seabed.Maximilian HenkelWout WeijtjensChristof DevriendtMDPI AGarticlereal-world measurement datafatiguevirtual sensingoffshore wind energymonopileTechnologyTENEnergies, Vol 14, Iss 7576, p 7576 (2021)
institution DOAJ
collection DOAJ
language EN
topic real-world measurement data
fatigue
virtual sensing
offshore wind energy
monopile
Technology
T
spellingShingle real-world measurement data
fatigue
virtual sensing
offshore wind energy
monopile
Technology
T
Maximilian Henkel
Wout Weijtjens
Christof Devriendt
Fatigue Stress Estimation for Submerged and Sub-Soil Welds of Offshore Wind Turbines on Monopiles Using Modal Expansion
description The design of monopile foundations for offshore wind turbines is most often driven by fatigue. With the foundation price contributing to the total price of a turbine structure by more than 30%, wind farm operators seek to gain knowledge about the amount of consumed fatigue. Monitoring concepts are developed to uncover structural reserves coming from conservative designs in order to prolong the lifetime of a turbine. Amongst promising concepts is a wide array of methods using in-situ measurement data and extrapolating these results to desired locations below water surface and even seabed using models. The modal decomposition algorithm is used for this purpose. The algorithm obtains modal amplitudes from acceleration and strain measurements. In the subsequent expansion step these amplitudes are expanded to virtual measurements at arbitrary locations. The algorithm uses a reduced order model that can be obtained from either a FE model or measurements. In this work, operational modal analysis is applied to obtain the required stress and deflection shapes for optimal validation of the method. Furthermore, the measurements that are used as input for the algorithms are constrained to measurements from the dry part of the substructure. However, with subsoil measurement data available from a dedicated campaign, even validation for locations below mud-line is possible. After reconstructing strain history in arbitrary locations on the substructure, fatigue assessment over various environmental and operational conditions is carried out. The technique is found capable of estimating fatigue with high precision for locations above and below seabed.
format article
author Maximilian Henkel
Wout Weijtjens
Christof Devriendt
author_facet Maximilian Henkel
Wout Weijtjens
Christof Devriendt
author_sort Maximilian Henkel
title Fatigue Stress Estimation for Submerged and Sub-Soil Welds of Offshore Wind Turbines on Monopiles Using Modal Expansion
title_short Fatigue Stress Estimation for Submerged and Sub-Soil Welds of Offshore Wind Turbines on Monopiles Using Modal Expansion
title_full Fatigue Stress Estimation for Submerged and Sub-Soil Welds of Offshore Wind Turbines on Monopiles Using Modal Expansion
title_fullStr Fatigue Stress Estimation for Submerged and Sub-Soil Welds of Offshore Wind Turbines on Monopiles Using Modal Expansion
title_full_unstemmed Fatigue Stress Estimation for Submerged and Sub-Soil Welds of Offshore Wind Turbines on Monopiles Using Modal Expansion
title_sort fatigue stress estimation for submerged and sub-soil welds of offshore wind turbines on monopiles using modal expansion
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/1d703538131d4028b23d70a39e19149d
work_keys_str_mv AT maximilianhenkel fatiguestressestimationforsubmergedandsubsoilweldsofoffshorewindturbinesonmonopilesusingmodalexpansion
AT woutweijtjens fatiguestressestimationforsubmergedandsubsoilweldsofoffshorewindturbinesonmonopilesusingmodalexpansion
AT christofdevriendt fatiguestressestimationforsubmergedandsubsoilweldsofoffshorewindturbinesonmonopilesusingmodalexpansion
_version_ 1718412334751285248