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

Author:

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

Abstract

Abstract. The biaxial fatigue test of wind turbine blades is helpful to shorten the test time and is more suitable for the actual operating conditions. Adding tuning masses to the blade is a common method for blade uniaxial testing at present, and its purpose is to adjust the load distribution in one direction of the blade. However, the tuning masses on the blade will affect the load distribution in the direction of the blade flap-wise and edge-wise at the same time in the biaxial test, so the concept of “virtual masses” is proposed to realize the decoupling of the load distribution in the biaxial test. Due to the limitation of the size of the virtual mass mechanism and the complex motion trajectory of the blade, the actual inertial effect provided by the virtual masses is different from the ideal situation, which will affect the resonance characteristics of the test system and the load distribution of the blade. Therefore, in order to evaluate the effect of the nonlinear effect introduced by the virtual masses on the resonance characteristics of the test system and the blade load distribution, the equivalent dynamic model of the bladed virtual mass test system was established by using the Lagrange method. Then, the nonlinear effects of blade amplitude and virtual mass installation parameters on the test system are obtained by a numerical method. Then, based on the nonlinear vibration theory, the approximate nonlinear amplitude–frequency characteristics of the test system are obtained, that is, the resonance frequency of the test system will decrease with the increase in the blade amplitude. Through the simulation analysis of two blades over 80 m in length, the applicability of the theoretical method is verified. It can be seen from the simulation results of the simulated uniaxial test that larger amplitudes of the blade and shorter connection rods will reduce the resonance frequency of the test system. When the vibration amplitude at the excitation point is the same, a lower resonance frequency results in a smaller load distribution level, that is, the area which is actually fully tested will be reduced. In the biaxial simulation test, the resonance frequency of the test system will be further reduced because the virtual masses will be affected by the coupled motion in both directions at the same time. Furthermore, the introduction of an external mechanism of the virtual mass will also cause deformation of the envelope of the blade biaxial trajectory, which will further affect the load distribution of the blade. This work explores the nonlinear influence of virtual masses on the actual fatigue test. The theoretical analysis is helpful to provide the basis and reference for the preliminary preparation work of the test organization, including adjusting the tuning mass scheme, adjusting the load distribution and selecting the appropriate excitation equipment.

Publisher

Copernicus GmbH

Reference20 articles.

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

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