The dynamic performance of a composite blade from a 5kW wind turbine part II: Predicted blade response

被引:4
|
作者
Bechly, M.E. [1 ]
Clausen, P.D. [2 ]
机构
[1] Garrad Hassan Pacific Pty Ltd, PO Box 189, Hunter Region MC, NSW 2310, Australia
[2] School of Engineering, The University of Newcastle, Callaghan, NSW 2308, Australia
关键词
Computer software - Data acquisition - Dynamic programming - Turbomachine blades;
D O I
10.1260/030952402321160589
中图分类号
学科分类号
摘要
This paper presents analytical and computational predictions of the performance of an operating 2.5 m long composite wind turbine blade and compares these predictions with the results of detailed measurements. Part 1 of this paper describes in detail the important aspects of the 5 kW wind turbine, the experimental equipment and data acquisition procedures and presents and discusses some of the results from the experimental data. Here the analytical methodology of Eggleston and Stoddard (1987) and the solution from the computational wind turbine software package Bladed, were used to predict the performance of the blade for a particular set of experimental conditions. The solutions of Eggleston and Stoddard, where only the first order dynamic equations of a simplified blade model are solved, underestimate the root flapwise moment, streamwise blade tip deflection and lead-lag tip deflection, but gave fairly accurate predictions for the blade lead lag moment. The turbine's structural dynamics within Bladed used a more accurate model of the blade and solved the structural dynamic equations by implementing modal analysis. The results gave root flapwise moment of the same order as those determined from the measurements, close agreement with the measured lead-lag moment, a slight under-prediction of the flapwise tip deflection and large under prediction of the lead-lag tip deflection. The under prediction of the lead-lag deflection by both methods is likely to be due to the uncoupling of the lead-lag and flapping motions, and the unusual shape of the blade close to its root connection.
引用
收藏
页码:273 / 286
相关论文
共 50 条
  • [41] The effect of the nonlinear velocity and history dependencies of the aerodynamic force on the dynamic response of a rotating wind turbine blade
    van der Male, Pim
    van Dalen, Karel N.
    Metrikine, Andrei V.
    JOURNAL OF SOUND AND VIBRATION, 2016, 383 : 191 - 209
  • [42] Dynamic strain distribution monitoring and fatigue damage analysis on a 100 kW wind turbine blade based on field aerodynamic measurements
    Zhang, Pan
    Zhu, Zeng
    Guo, Xia
    Zhang, Lei
    Wu, Guangxing
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2025, 36 (01)
  • [43] Super-hydrophobicity effects on performance of a dynamic wind turbine blade element under yaw loads
    Bakhtiari, Ehsan
    RENEWABLE ENERGY, 2019, 140 : 539 - 551
  • [44] Statistical wind prediction and fatigue analysis for horizontal-axis wind turbine composite material blade under dynamic loads
    Kulkarni, Pravin A.
    Hu, Weifei
    Dhoble, Ashwinkumar S.
    Padole, Pramod M.
    ADVANCES IN MECHANICAL ENGINEERING, 2017, 9 (09)
  • [45] Dynamic feature evaluation on streaming acoustic emission data for adhesively bonded joints for composite wind turbine blade
    Xu, Dong
    Liu, Pengfei
    Chen, Zhiping
    Cai, Qimao
    Leng, Jianxing
    STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2022, 21 (02): : 387 - 406
  • [46] SUDDEN LOSS OF ROTOR BLADE FROM WIND POWER TURBINE - CALCULATION OF MAXIMAX RESPONSE SPECTRA
    AKESSON, B
    SANDSTROM, S
    JOURNAL OF SOUND AND VIBRATION, 1982, 80 (01) : 81 - 96
  • [47] Strain response analysis of adhesively bonded extended composite wind turbine blade suffering unsteady aerodynamic loads
    Wu, Guangxing
    Qin, Zhiwen
    Zhang, Lei
    Yang, Ke
    ENGINEERING FAILURE ANALYSIS, 2018, 85 : 36 - 49
  • [48] Damping mechanism model for fatigue testing of a full-scale composite wind turbine blade, Part 1: Modeling
    Lee, Hak Gu
    Lee, Jungwan
    COMPOSITE STRUCTURES, 2018, 202 : 1216 - 1228
  • [49] Strength analysis of a 5-m composite wind turbine blade under static and fatigue loading conditions
    Muyan, C.
    Coker, D.
    41ST RISO INTERNATIONAL SYMPOSIUM ON MATERIALS SCIENCE: MATERIALS AND DESIGN FOR NEXT GENERATION WIND TURBINE BLADES, 2020, 942
  • [50] Structural Performance Analysis of Large Wind Turbine Blade Based on Main Beam Web Offset and Composite Layup
    Wang H.
    Miao W.
    Li C.
    Li Z.
    Yue M.
    Zhu H.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2023, 43 (19): : 7509 - 7518