• English
  • Deutsch
  • Log In
    Password Login
    or
  • Research Outputs
  • Projects
  • Researchers
  • Institutes
  • Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Scopus
  4. Identification of torsional frequencies of a large rotor blade based on measurement and simulation data
 
  • Details
  • Full
Options
2022
Journal Article
Titel

Identification of torsional frequencies of a large rotor blade based on measurement and simulation data

Abstract
With increasing size of wind turbines, the aerodynamic and structural properties of the rotor blades become more and more important. However, studies investigating the torsional properties using measurement data and simulation results on full-size turbines are still scarce. In this study, torsional measurements are carried out on a large wind turbine with a rotor diameter of 180 m and compared with model results. In this study, torsional measurements on a large wind turbine with a rotor diameter of 180 m are conducted and compared with model results. Torsional parameters of a rotor blade are identified using two different measurement methods, the first based on strain gauges and the second based on accelerometers. Both methods show frequencies that can be associated with the natural frequencies of the two first torsional modes of the rotor blade. To extract the natural frequencies and to reduce external effects, a manual pitching procedure is evaluated. Here, the first two natural frequencies associated with torsional modes can be identified. In a second step, the behaviour of the blade during power production is investigated and compared with the simulation results.
Author(s)
Wegner, Anna
Fraunhofer-Institut für Windenergiesysteme IWES
Huhn, Matthias Leonhard
Fraunhofer-Institut für Windenergiesysteme IWES
Mechler, Sebastian
Fraunhofer-Institut für Windenergiesysteme IWES
Thomas, Philipp
Fraunhofer-Institut für Windenergiesysteme IWES
Zeitschrift
Journal of physics. Conference series
Konferenz
International Conference "The Science of Making Torque from Wind" 2022
Thumbnail Image
DOI
10.1088/1742-6596/2265/3/032021
Language
English
google-scholar
Fraunhofer-Institut für Windenergiesysteme IWES
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Send Feedback
© 2022