Optimization of Composite Wind Turbine Blade Based on Modal Sensitivity
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Abstract:
This study develops a method for the full-size structural design of blade, involving the optimal layer thickness configuration of the blade to maximize its bending stiffness using a genetic algorithm. Numerical differentiation is employed to solve the sensitivity of blade modal frequency to the layer thickness of each part of blade. The natural frequencies of first-order flapwise and edgewise modes are selected as the optimal objectives. Based on the modal sensitivity analysis of all design variables, the effect of discretized layer thickness on bending stiffness of the blade is explored, and 14 significant design variables are filtered to drive the structural optimization. The best solution predicts an increase in natural frequencies of first-order flapwise and edgewise blade modes by up to 12% and 10.4%, respectively. The results show that the structural optimization method based on modal sensitivity is more effective to improve the structural performance.
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This work was supported by the National Natural Science Foundation of China (Nos. 51965034,51565028) and the Lanzhou City Innovation and Entrepreneurship Project (No.2018-RC-25).
ZHENG Yuqiao, LIU Zheyan, MA Huidong, ZHU Kai. Optimization of Composite Wind Turbine Blade Based on Modal Sensitivity[J]. Transactions of Nanjing University of Aeronautics & Astronautics,2021,38(1):153-163