Most wind turbine blades are made of laminated composite materials. The mechanical prop- erties of the material and the layup orientation influence the blade stiffness and, therefore, turbine performance. The bend-twist coupling effect, a consequence of the stacking sequence, can be used for passive control of the pitch angle, which in turn can improve the turbine performance. In this work, a surrogate-based optimization strategy which uses finite element simulation and radial basis functions is employed to optimize the stacking sequence of the blade laminate of a small wind turbine, aiming to improve the power coefficient.
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