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Purpose <p>Interlaminar bonding defects in wind turbine blade laminated structures represent a critical issue affecting structural safety. These defects primarily occur at ply interfaces and, under extreme wind loads, can readily initiate delamination damage that rapidly propagates, leading to local structural failure. Currently, the key driving mechanisms governing defect evolution into delamination damage remain unclear.</p> Method <p>The developed coupled aerodynamic model for a 2&#xa0;MW wind turbine simulates load distributions across airfoil sections and converts them into equivalent stresses based on the fourth strength theory. The established finite element model incorporates cohesive zone elements to successfully reproduce the defect-to-delamination evolution process under stress conditions. By quantifying damage severity using the Kullback-Leibler divergence of strain energy residual density and integrating Backpropagation Neural Network with Global Sensitivity Analysis-Sobol’s method, this approach achieves quantitative assessment of wind parameter effects on defect evolution.</p> Results <p>The results demonstrate that wind speed and direction are the most influential controlling delamination damage progression. This conclusion was validated through specially designed compression fatigue tests on specimens with interlayer defects, confirming the model’s good accuracy. The influence patterns of wind direction on damage evolution were clarified based on the Damage Equivalent Load method.</p> Conclusions <p>The research outcomes not only optimized key parameters for blade health monitoring systems but also accurately identified high-risk wind direction ranges.</p>

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Research on the Initial Damage Sensitivity Analysis of Interlaminar Bonding Defects in Wind Turbine Blades Under Extreme Wind Conditions

  • 期刊论文

  • 发表日期：

    2025年9月25日

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  • Ning Sun,
  • Bo Zhou,
  • Haocheng Zheng,
  • Hui Li

摘要

Purpose

Interlaminar bonding defects in wind turbine blade laminated structures represent a critical issue affecting structural safety. These defects primarily occur at ply interfaces and, under extreme wind loads, can readily initiate delamination damage that rapidly propagates, leading to local structural failure. Currently, the key driving mechanisms governing defect evolution into delamination damage remain unclear.

Method

The developed coupled aerodynamic model for a 2 MW wind turbine simulates load distributions across airfoil sections and converts them into equivalent stresses based on the fourth strength theory. The established finite element model incorporates cohesive zone elements to successfully reproduce the defect-to-delamination evolution process under stress conditions. By quantifying damage severity using the Kullback-Leibler divergence of strain energy residual density and integrating Backpropagation Neural Network with Global Sensitivity Analysis-Sobol’s method, this approach achieves quantitative assessment of wind parameter effects on defect evolution.

Results

The results demonstrate that wind speed and direction are the most influential controlling delamination damage progression. This conclusion was validated through specially designed compression fatigue tests on specimens with interlayer defects, confirming the model’s good accuracy. The influence patterns of wind direction on damage evolution were clarified based on the Damage Equivalent Load method.

Conclusions

The research outcomes not only optimized key parameters for blade health monitoring systems but also accurately identified high-risk wind direction ranges.