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A Numerical Method for the Dynamics Analysis of Blade Fracture Faults in Wind Turbines Using Geometrically Exact Beam Theory and Its Validation

Author

Listed:
  • Xianyou Wu

    (College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China)

  • Kai Feng

    (College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China)

  • Qing’an Li

    (Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China)

Abstract

In pursuit of China’s goals for carbon peak and carbon neutrality, wind turbines are continually evolving to achieve a lower levelized cost of energy. The primary technological focus in the wind power industry is on large-scale, lightweight designs for entire turbines to enhance cost competitiveness. However, this advancement has led to an increased risk of blade fractures under extreme operating conditions. This paper addresses this challenging issue by using geometrically exact beam theory to develop a nonlinear simulation model for long, flexible blades. The model accounts for sudden changes in blade properties at the moment of failure, covering both the extensive motions and deformations of the fractured blade. The validation of the proposed model is carried out by comparing the results from power production cases with bladed simulations and further validating the simulations of blade fracture load cases against measurement data. The methodologies and findings presented in this study offer valuable insights for diagnosing faults in wind turbines.

Suggested Citation

  • Xianyou Wu & Kai Feng & Qing’an Li, 2024. "A Numerical Method for the Dynamics Analysis of Blade Fracture Faults in Wind Turbines Using Geometrically Exact Beam Theory and Its Validation," Energies, MDPI, vol. 17(4), pages 1-18, February.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:4:p:824-:d:1336447
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    References listed on IDEAS

    as
    1. Ji, Y.M. & Han, K.S., 2014. "Fracture mechanics approach for failure of adhesive joints in wind turbine blades," Renewable Energy, Elsevier, vol. 65(C), pages 23-28.
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