This dataset contains the results from the structural testing and finite element analysis (FEA) of a 13m turbine blade, which has been manufactured from glass fibre reinforced powder epoxy. The dataset includes the results from dynamic and static testing of the blade. The results from the dynamic testing includes the natural frequencies and mass of the blade. The results from the static testing display the deflection, and associated strains, in both the flapwise and edgewise directions, where the load was applied in increments of 25% of the maximum design load.

The associated paper that uses some of, and explains further, the data is available at : Finnegan William, Jiang Yadong, Dumergue Nicolas, Davies Peter, Goggins Jamie (2021). Investigation and Validation of Numerical Models for Composite Wind Turbine Blades. Journal of Marine Science and Engineering, 9(5), 525-. https://doi.org/10.3390/jmse9050525

Disciplines

Cross-discipline

Location

55.633525N, 51.281789S, -5.394287E, -11.12915W

Licence

FP7/H2020

CRIMSON, MARINET2

Utilisation

Data are published without any warranty, express or implied. The user assumes all risk arising from his/her use of data. Data are intended to be research-quality and include estimates of data quality and accuracy, but it is possible that these estimates or the data themselves contain errors. It is the sole responsibility of the user to assess if the data are appropriate for his/her use, and to interpret the data, data quality, and data accuracy accordingly. Authors welcome users to ask questions and report problems.

Acknowledgements

This research was funded by European Commission through the H2020 MaRINET2 project (grant agreement no.: 26255). The first, second and last authors would like to acknowledge the support from Science Foundation Ireland (SFI), through the MaREI Research Centre for Energy, Climate and Marine (Grant no. 12/RC/2302_2) and funding from the European Commission through the H2020 CRIMSON project (grant agreement no.: 971209). The second author would also like to acknowledge the support from SFI for an Industry Fellowship (Grant no. 19/IFA/7417)

Data

File	Size	Format	Processing	Access
Data	101 Ko	XLS, XLSX	Quality controlled data		Download

Sea scientific
open data
publication

Structural testing and FEA dataset for a composite turbine blade

Disciplines

Location

Data

Sea scientific
open data
publication

Structural testing and FEA dataset for a composite turbine blade

Disciplines

Location

Data

Sea scientificopen datapublication

Sea scientific
open data
publication