Reliability analysis of fatigue damage extrapolations of wind turbines using offshore strain measurements

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Hübler, C.; Weijtjens, W.; Rolfes, R.; Devriendt, C.: Reliability analysis of fatigue damage extrapolations of wind turbines using offshore strain measurements. In: Journal of Physics: Conference Series 1037 (2018), Nr. 3, 2035. DOI: https://doi.org/10.1088/1742-6596/1037/3/032035

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/3780

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Sum total of downloads: 200




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Abstract: 
While substructures of offshore wind turbines become older and begin to reach their design lifetimes, the relevance of measurement based lifetime extension increases. To make well-founded decisions on possible lifetime extensions, damage extrapolations based on measurements are needed. However, although for all substructures, fatigue damage calculations were conducted during the design process, there is no consensus on how to extrapolate 10-minute damages to lifetime damages. Furthermore, extrapolating damages is an uncertain process and its actual reliability is unknown. Therefore, the current work uses data of offshore strain measurements to assess different approaches of extrapolating damages, and to investigate the reliability of damage extrapolations. For the present data, the most reliable lifetime estimations are possible, if the damage data is split up into wind speed bins. For each wind speed bin, the occurrence probability should be based on data rather than on design documents. Moreover, using mean damages in each bin is the best practice. Furthermore, our results suggest that strain measurements of about 9 to 10 months lead to a relatively representative and unbiased data set. Therefore, if there are no significant changes of the turbine or the environmental conditions over the lifetime, damage extrapolations based on such a time period are sufficiently accurate.
License of this version: CC BY 3.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2018
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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pos. country downloads
total perc.
1 image of flag of Germany Germany 117 58.50%
2 image of flag of United States United States 32 16.00%
3 image of flag of China China 21 10.50%
4 image of flag of Tanzania, United Republic of Tanzania, United Republic of 6 3.00%
5 image of flag of No geo information available No geo information available 3 1.50%
6 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 3 1.50%
7 image of flag of Spain Spain 3 1.50%
8 image of flag of Thailand Thailand 2 1.00%
9 image of flag of Nepal Nepal 2 1.00%
10 image of flag of United Kingdom United Kingdom 2 1.00%
    other countries 9 4.50%

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