A method for coordinated optimization of transition window plies of a carbon-poly hybrid fiber wind turbine blade
By using a load transfer transition window identification mechanism and ply adjustment actions, the problem of local strain coordination of carbon-glass hybrid fiber wind turbine blade ply at the load transfer location was solved, achieving efficient optimization of carbon-glass hybrid ply, reducing the risk of deformation incoordination and fatigue accumulation between adjacent layers of dissimilar materials, and improving the interpretability and iterative stability of the ply optimization process.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ORDOS VOCATIONAL COLLEGE
- Filing Date
- 2026-06-01
- Publication Date
- 2026-07-17
AI Technical Summary
Existing carbon-glass hybrid fiber wind turbine blade layup optimization methods are difficult to coordinate local strain at the load transfer locations between adjacent blade structural parts, leading to problems such as sudden changes in local stiffness, incoordination of deformation between adjacent layers of dissimilar materials, increased risk of fatigue accumulation, and insufficient continuity in manufacturing and laying.
By using a load transfer transition window identification mechanism, strain coordination between adjacent layers of dissimilar materials such as carbon fiber and glass fiber layups is identified. Cutoff point dispersion and slow release values and transition violation types are set to generate layup adjustment actions to optimize the layup scheme, including material sequence adjustment, layup angle adjustment, cutoff position staggering, and transition window expansion.
It improves the targeting of carbon-glass hybrid layup adjustment, reduces the risk of deformation incompatibility between adjacent layers of different materials at load transfer locations, suppresses local stiffness abrupt changes and fatigue accumulation, and enhances the interpretability and iterative stability of the layup optimization process.
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