RESEARCH ON DYNAMIC CHARACTERISTICS OF WIND POWER BLADES BASED ON PERTURBATION MODE ANALYSIS

被引：0
|
作者：
Yang J. [1 ]
Wang W. [1 ]
Dai J. [2 ]
机构：
[1] Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiantan
[2] College of Mechanical and Electrical Engineering, Hunan University of Science and Technology, Xiantan
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2023年 / 44卷 / 11期
关键词：
dynamic rigidity effect; finite element method; modal analysis; rotation softening effect; wind turbine blades;
D O I：
10.19912/j.0254-0096.tynxb.2022-1045
中图分类号：
学科分类号：
摘要：
In view of the phenomenon that the blade is coupled by rotating softening effect and dynamic stiffening effect，which leads to the change of its modal characteristics under the operating state of large-scale blade，a vibration analysis method of rotating blade based on perturbation modal analysis is proposed. In this paper，two blade models of 0.89 m and 61.5 m are established. Through numerical simulation，the influence of two effects on blade frequency at 0-50 r/min speed is analyzed. Based on the variation rule of calculated frequency difference Δf，the correlation between the three main modes of blade and the two effects is studied. Finally，in order to verify the accuracy of numerical simulation，experimental modal analysis and numerical simulation results are compared by hammering method. The experimental results show that the errors of first and second order mode frequencies are within 1%，and the calculation results in this paper are more accurate. © 2023 Science Press. All rights reserved.
引用
收藏
页码：231 / 238
页数：7
相关论文
共 11 条
  • [1] GUO Y F, QUAN W M, WANG W Y，, Et al., Crack diagnosis method of wind turbine blade based on convolution neural network with 3D vibration information fusion［J］, Acta optica sinica, 40, 22, pp. 140-148, (2020)
  • [2] WANG W Y., Research on vibration measurement and modal identification of wind turbine blade based on network photography［D］, (2019)
  • [3] SINGH C V., Assessing progressive failure in long wind turbine blades under quasi-static and cyclic loads［J］, Renewable energy, 119, pp. 754-766, (2018)
  • [4] LIAO G H, WU J Z., VIbration characteristics of bidirectional electric reciprocating loading system of wind turbine blade［J］, Acta energiae solaris sinica, 42, 4, pp. 380-385, (2021)
  • [5] CHEN Y C，, ESCALERA MENDOZA A S，, GRIFFITH D T., Experimental and numerical study of high- order complex curvature mode shape and mode coupling on a three- bladed wind turbine assembly［J］, Mechanical systems and signal processing, 160, (2021)
  • [6] HUANG J D, XIA H J, LI D Y, Et al., Analysis of effects of modal and flutter characteristics of wind turbine blade［J］, Acta energiae solaris sinica, 42, 11, pp. 273-279, (2021)
  • [7] GUAN Y M，, GE X S., Dynamic stiffening analysis of rigid-flexible coupling systems based on unconstrained modes ［J］, Chinese journal of applied mechanics, 38, 5, pp. 1953-1959, (2021)
  • [8] ZHANG J P., Study on vibration- based damage detection of rotational wind turbine blades［D］, (2012)
  • [9] FAN J L., High cycle fatigue behavior evaluation of Q235 steel based on energy dissipation［J］, Journal of mechanical engineering, 54, 6, pp. 1-9, (2018)
  • [10] JONKMAN J M., Dynamics modeling and loads analysis of an offshore floating wind turbine［M］, (2007)
12