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<p>Wind turbine blade deformation affects the ability of the blade to capture wind energy, and the dynamic deformation law of the actual wind turbine blade is unclear. This study constructs a wind turbine blade dynamic deformation measurement system based on DIC, investigates the blade dynamic deformation regularity, and fits a polynomial to predict the blade dynamic wave deformation. The results show that the modulus of elasticity of the blade determines the time required to calm the fluctuation after deformation, and the length of this time is negatively correlated with the modulus of elasticity of the blade. As the wind speed increases, the change in the amount of blade dynamic deformation is significant, and the degree of change in the maximum value increases. With the increase in rotational speed, the dynamic deformation of the blade tends to increase and then decrease. The sensitivity and interaction analysis are used to screen out the instability zones of blade elastic modulus, wind speed, and rotational speed. The accuracy of the blade dynamic fluctuation deformation prediction model is verified by experiments and error analysis, and the study’s conclusions provide a reference for the design and safe operation of wind turbines.</p>

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An experimental study and prediction of dynamic deformation of wind turbine blade based on DIC

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年2月11日

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  • Jing Jia,
  • Liru Zhang,
  • Wei Gao,
  • Tong Qiu,
  • YuQi Hou,
  • Jianwen Wang

摘要

Wind turbine blade deformation affects the ability of the blade to capture wind energy, and the dynamic deformation law of the actual wind turbine blade is unclear. This study constructs a wind turbine blade dynamic deformation measurement system based on DIC, investigates the blade dynamic deformation regularity, and fits a polynomial to predict the blade dynamic wave deformation. The results show that the modulus of elasticity of the blade determines the time required to calm the fluctuation after deformation, and the length of this time is negatively correlated with the modulus of elasticity of the blade. As the wind speed increases, the change in the amount of blade dynamic deformation is significant, and the degree of change in the maximum value increases. With the increase in rotational speed, the dynamic deformation of the blade tends to increase and then decrease. The sensitivity and interaction analysis are used to screen out the instability zones of blade elastic modulus, wind speed, and rotational speed. The accuracy of the blade dynamic fluctuation deformation prediction model is verified by experiments and error analysis, and the study’s conclusions provide a reference for the design and safe operation of wind turbines.