An analytical model for frequency analysis of composite wind turbine adaptive blades

Hui Zhang*, Ali Daadbin, Alireza Maheri, Phil Hackney

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper presents an analytical model for predicting the dynamic characteristics of composite wind turbine blades. In this model, the governing equations of motion are derived using Hamiltion's principle and are solved by using extended Galerkin's method. This model is capable of predicting natural frequencies of composite beams with arbitrary single-cell cross sections. For various layup configurations, the results obtained by the developed analytical model are compared with the results of the finite element analysis. It is shown that the analytical model provides reasonable accuracy in predicting natural frequency of unbalanced layup configurations with ply angles of up to 40 degrees.

Original languageEnglish
Title of host publication2nd International Symposium on Environment Friendly Energies and Applications, EFEA 2012
PublisherIEEE Press
Pages406-411
Number of pages6
ISBN (Print)9781467329095
DOIs
Publication statusPublished - 2012
Event2nd International Symposium on Environment Friendly Energies and Applications, EFEA 2012 - Newcastle upon Tyne, United Kingdom
Duration: 25 Jun 201227 Jun 2012

Conference

Conference2nd International Symposium on Environment Friendly Energies and Applications, EFEA 2012
CountryUnited Kingdom
CityNewcastle upon Tyne
Period25/06/1227/06/12

Keywords

  • adaptive blades
  • extended Galerkin's method
  • Hamiltion's principle
  • thin-walled composite beam
  • wind turbine blade

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  • Cite this

    Zhang, H., Daadbin, A., Maheri, A., & Hackney, P. (2012). An analytical model for frequency analysis of composite wind turbine adaptive blades. In 2nd International Symposium on Environment Friendly Energies and Applications, EFEA 2012 (pp. 406-411). [6294046] IEEE Press. https://doi.org/10.1109/EFEA.2012.6294046