Abstract
The lightweight design of the wind turbine blades plays an essential role in the stable operation of wind turbines, and the structural layout and layup design have a profound influence on the total weight of the blade. However, the blade structure partition is complex, and the parametric modeling and the interaction difficulties lead to increased computational cost, which makes it impossible to quantify the complete parametric modeling of the main structural components of the blade. To solve this problem, this paper proposes an optimization method based on structural parametric modeling for the wind turbine blade optimization framework. The method firstly adopts a structural parameterization method based on a two-dimensional matrix representation and layup parameter model to achieve the complete parametric modeling of the structural components of a particular 1.5 MW blade. Then, the strength and deformation calculation of the parametric model of the blade was carried out using the thin-walled structural mechanics direct stress theory. Finally, the thin-walled structural mechanics direct stress theory is combined with a genetic algorithm to carry out the structural optimization of the blade with the minimum total mass of the blade as the optimization objective, the blade tip deflection, and the maximum stress failure criterion in the fiber direction as the constraint conditions. The optimization results show that under the premise of satisfying the strength and stiffness of the blade, the total mass of the blade after optimization using the optimization method decreases by about 6%, which verifies the effectiveness of the optimization method in this paper.
Published Version
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