High-Lift System Optimization Based on the Kriging Model Using a High-Fidelity Flow Solver
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In this paper, the design optimization procedure of a three-element wing setting is discussed. The positions of elements are determined using a response surface method based on the Kriging model. The Kriging model is updated based on expected improvement (EI) value maximization in the design space using a distributed genetic algorithm (DGA). Sample points for the Kriging model are evaluated using Reynolds Averaged Navier-Stokes simulation (RANS). The present method is applied successfully for the optimization, where the objective function is to maximize the lift-to-drag ratio (<I>L</I>⁄<I>D</I>).
- TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES
TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES 49(165), 169-174, 2006-11-04
THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES