Nonlinear Engineering (Mar 2022)

Damage identification of wind turbine blades based on dynamic characteristics

  • Su Tian,
  • Su Wei,
  • Du Chenyu,
  • Huang Zhanfang,
  • Dong Jianping,
  • Hu Chao

DOI
https://doi.org/10.1515/nleng-2022-0007
Journal volume & issue
Vol. 11, no. 1
pp. 47 – 57

Abstract

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In this article, the Ansys Workbench was used to carry out the finite element analysis of 15 kW wind turbine blades with different damaged positions and different damaged degrees. The results show that the change rate of natural frequency, displacement modes, and strain modes of the blades increased with the increase in the damage degree; the change rate of the natural frequency and displacement modes of the blade decreased with the increase in the speed, while the change rate of the strain modes increased; the change allocation ratio of the displacement modes and strain modes after the damage was more obvious at the damage location than other positions, which can be used to locate the damage position of the blade; the change allocation ratio of strain modes is higher than the change allocation ratio of displacement modes when the damage degree is the same, which means that the recognition effect of the strain modes is more significant than that of the displacement modes.

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