Articles | Volume 9, issue 1
https://doi.org/10.5194/wes-9-49-2024
https://doi.org/10.5194/wes-9-49-2024
Research article
 | 
16 Jan 2024
Research article |  | 16 Jan 2024

Nonlinear vibration characteristics of virtual mass systems for wind turbine blade fatigue testing

Aiguo Zhou, Jinlei Shi, Tao Dong, Yi Ma, and Zhenhui Weng

Related subject area

Thematic area: Wind technologies | Topic: Design concepts and methods for plants, turbines, and components
One-to-one aeroservoelastic validation of operational loads and performance of a 2.8 MW wind turbine model in OpenFAST
Kenneth Brown, Pietro Bortolotti, Emmanuel Branlard, Mayank Chetan, Scott Dana, Nathaniel deVelder, Paula Doubrawa, Nicholas Hamilton, Hristo Ivanov, Jason Jonkman, Christopher Kelley, and Daniel Zalkind
Wind Energ. Sci., 9, 1791–1810, https://doi.org/10.5194/wes-9-1791-2024,https://doi.org/10.5194/wes-9-1791-2024, 2024
Short summary
Identification of electro-mechanical interactions in wind turbines
Fiona Dominique Lüdecke, Martin Schmid, and Po Wen Cheng
Wind Energ. Sci., 9, 1527–1545, https://doi.org/10.5194/wes-9-1527-2024,https://doi.org/10.5194/wes-9-1527-2024, 2024
Short summary
A sensitivity-based estimation method for investigating control co-design relevance
Jenna Iori, Carlo Luigi Bottasso, and Michael Kenneth McWilliam
Wind Energ. Sci., 9, 1289–1304, https://doi.org/10.5194/wes-9-1289-2024,https://doi.org/10.5194/wes-9-1289-2024, 2024
Short summary
Validation of aeroelastic dynamic model of active trailing edge flap system tested on a 4.3 MW wind turbine
Andrea Gamberini, Thanasis Barlas, Alejandro Gomez Gonzalez, and Helge Aagaard Madsen
Wind Energ. Sci., 9, 1229–1249, https://doi.org/10.5194/wes-9-1229-2024,https://doi.org/10.5194/wes-9-1229-2024, 2024
Short summary
Mesoscale modelling of North Sea wind resources with COSMO-CLM: model evaluation and impact assessment of future wind farm characteristics on cluster-scale wake losses
Ruben Borgers, Marieke Dirksen, Ine L. Wijnant, Andrew Stepek, Ad Stoffelen, Naveed Akhtar, Jérôme Neirynck, Jonas Van de Walle, Johan Meyers, and Nicole P. M. van Lipzig
Wind Energ. Sci., 9, 697–719, https://doi.org/10.5194/wes-9-697-2024,https://doi.org/10.5194/wes-9-697-2024, 2024
Short summary

Cited articles

Castro, O., Belloni, F., and Stolpe, M.: Optimized method for multi-axial fatigue testing of wind turbine blades, Compos. Struct., 257, 113358, https://doi.org/10.1016/j.compstruct.2020.113358, 2021. 
DNV GL AS: DNVGL-ST-0376 – Rotor blades for wind turbines, https://rules.dnvgl.com/docs/pdf/DNVGL/ ST/2015-12/DNVGL-ST-0376.pdf (last access: 7 June 2019), 2015. 
Falko, B.: Biaxial Dynamic Fatigue Tests of Wind Turbine Blades, PhD thesis, Leibniz University Hannover, Hannover, Germany, https://publica.fraunhofer.de/handle/publica/283519 (last access: 28 October 2023), 2020. 
Greaves, P. R., Dominy, R. G., Ingram, G. L., Long, H., and Court, R.: Evaluation of dual-axis fatigue testing of large wind turbine blades, P. I. Mech. Eng. C-J. Mec., 226, 1693–1704, https://doi.org/10.1177/0954406211428013, 2012. 
Hughes, S., Musial, W. D., and Stensland, T.: Implementation of a Two-Axis Servo-Hydraulic System for Full-Scale Fatigue Testing of Wind Turbine Blades, Tech. rep., National Renewable Energy Lab., Golden, CO, USA, https://www.osti.gov/servlets/purl/12200 (last access: 28 October 2023), 1999. 
Download
Short summary
This paper explores the nonlinear influence of the virtual mass mechanism on the test system in blade biaxial tests. The blade theory and simulation model are established to reveal the nonlinear amplitude–frequency characteristics of the blade-virtual-mass system. Increasing the amplitude of the blade or decreasing the seesaw length will lower the resonance frequency and load of the system. The virtual mass also affects the blade biaxial trajectory.
Altmetrics
Final-revised paper
Preprint