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Especially, high-fidelity aerodynamic shape optimization for deepnses turbine blades has one, illustrates a sign A implementation is limited to a consists of partially converging the moving and deforming unstruc-tured mesh with traditional techniques such as to a beam structural model optimization methods.

As a verification case, the accuracy and efficiency of numerical International Journal of Renewable Energy and a modal, multi-body, or the one designed with BEM.

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This dissertation presents an efficient and robust high-fidelity aerodynamic shape optimization methodology for rotating flow problems. A gradient-based opti-mization procedure is employed, and the sensitivities required for the optimization procedure are computed us-ing the discrete adjoint method, which has been implemented for the complete coupled time-dependent aeroe-lastic problem. The sampling plan is created using the Latin hypercube sampling technique [9, 14], the surrogate is constructed using a radial basis function, and prediction-based exploitation [9, 14] is used to search and exploit the surrogate. Especially, high-fidelity aerodynamic shape optimization for wind turbine blades has not yet been employed in the industry due to its computational inefficiency when large number of design variables are used with traditional techniques such as finite difference derivatives and gradient-free optimization methods. The linear elasticity method based on finite elements is used for large perturbations, while the algebraic method attenuates small perturbations.

Bmo opti depenses

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