Structural condition assessment of offshore wind turbine monopile foundations using vibration monitoring data

Gomez, Hugo C.; Gur, Turel; Dolan, Dan

doi:10.1117/12.2018263

Cited by 7 publications

(9 citation statements)

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“…Scour reduces the fundamental structural resonances of the support structure. Therefore, it can be considered a damage indicator as it can be correlated to a change in the natural frequency of the tower and an increase in the fatigue damage [79,82,124].…”

Section: Offshore Wind Turbines Damage Definition and Detectionmentioning

confidence: 99%

Structural health monitoring of offshore wind turbines: A review through the Statistical Pattern Recognition Paradigm

Martínez-Luengo

Kolios

Wang

2016

Renewable and Sustainable Energy Reviews

224

124

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Section: Offshore Wind Turbines Damage Definition and Detectionmentioning

confidence: 99%

Structural health monitoring of offshore wind turbines: A review through the Statistical Pattern Recognition Paradigm

Martínez-Luengo

Kolios

Wang

2016

Renewable and Sustainable Energy Reviews

224

124

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“…The two‐stage controller adaptation presupposes that information about the true modal properties becomes available once the turbines have been installed. There are several examples where modal identification techniques have been successfully applied to wind turbines . The modal properties are usually estimated from acceleration data collected at one or more vertical locations along the support structure.…”

Section: Background and Problem Formulationmentioning

confidence: 99%

“…Reassessing the structural safety margins requires accurate and reliable information about the modal properties. In general, the modal properties estimated at discrete time instants, for instance, during rotor‐stop events, are subject to considerable uncertainties . A system for continuous monitoring should therefore be employed .…”

Section: Background and Problem Formulationmentioning

confidence: 99%

“…In general, the modal properties estimated at discrete time instants, for instance, during rotor‐stop events, are subject to considerable uncertainties . A system for continuous monitoring should therefore be employed . An example of such a monitoring system was developed and tested in full scale by Devriendt et al Based on data collected from an idling turbine over a 2‐week period, the modal properties of five fundamental modes were identified.…”

Section: Background and Problem Formulationmentioning

confidence: 99%

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Post‐installation adaptation of offshore wind turbine controls

et al. 2020

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The cost of offshore wind energy can be reduced by incorporating control strategies to reduce the support structures' load effects into the structural design process. While effective in reducing the cost of support structures, load‐reducing controls produce potentially costly side effects in other wind turbine components and subsystems. This paper proposes a methodology to mitigate these side effects at the wind farm level. The interaction between the foundation and the surrounding soil is a major source of uncertainty in estimating the safety margins of support structures. The safety margins are generally closely correlated with the modal properties (natural frequencies, damping ratios). This admits the possibility of using modal identification techniques to reassess the structural safety after installing and commissioning the wind farm. Since design standards require conservative design margins, the post‐installation safety assessment is likely to reveal better than expected structural safety performance. Thus, if load‐reducing controls have been adopted in the structural design process, it is likely permissible to reduce the use of these during actual operation. Here, the probabilistic outcome of such a two‐stage controls adaptation is analyzed. The analysis considers the structural design of a 10 MW monopile offshore wind turbine under uncertainty in the site‐specific soil conditions. Two control strategies are considered in separate analyses: (a) tower feedback control to increase the support structure's fatigue life and (b) peak shaving to increase the support structure's serviceability capacity. The results show that a post‐installation adaptation can reduce the farm‐level side‐effects of load‐reducing controls by up to an order of magnitude.

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“…If the natural frequency of the support structure approaches the turbine rotor frequency, a resonant condition will develop that can damage the turbine or its support structure. Only limited investigations have been reported on the structural dynamics of turbine-tower interactions, for example Gomez et al 1 and Gusch and Twele 2 . This study applied numerical analyses and remote displacement measurements to the dynamic vibration of two wind turbine systems during normal operations.…”

Section: Introductionmentioning

confidence: 99%

Remote monitoring and nondestructive evaluation of wind turbine towers

Chiang

Hsu

et al. 2014

SPIE Proceedings

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Wind turbine towers are in need of condition monitoring so as to lower the cost of unexpected maintenance. Wind loading from turbulence and gusts can cause damage in horizontal axis wind turbines even the supporting towers. Monitoring of wind turbines in service using embedded data sensor arrays usually is not targeted at the turbine-tower interaction from the perspective of structural dynamics. In this study the remote monitoring of the tower supporting a horizontal-axis wind turbine was attempted using a microwave interferometer. The dominant frequency of one tower was found to be decreased by more than 20% in 16 months. Numerical modeling using spectral finite elements is in progress and should provide further information regarding frequency shift due to stiffness variation and added mass. Expected outcome will contribute to remote monitoring procedures and nondestructive evaluation techniques for local wind turbine structures during operation.

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Structural condition assessment of offshore wind turbine monopile foundations using vibration monitoring data

Cited by 7 publications

References 0 publications

Structural health monitoring of offshore wind turbines: A review through the Statistical Pattern Recognition Paradigm

Structural health monitoring of offshore wind turbines: A review through the Statistical Pattern Recognition Paradigm

Post‐installation adaptation of offshore wind turbine controls

Remote monitoring and nondestructive evaluation of wind turbine towers

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