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• W589020986 abstract "This paper presents a space mapping algorithm for airfoil shape optimization enhanced with adjoint sensitivities. The surrogate-based algorithm utilizes low-cost derivative information obtained through adjoint sensitivities to improve the space mapping matching between a high-fidelity airfoil model, evaluated through expensive CFD simulations, and its fast surrogate. Here, the airfoil surrogate model is constructed though low-fidelity CFD simulations. As a result, the design process can be performed at a low computational cost in terms of the number of high-fidelity CFD simulations. The adjoint sensitivities are also exploited to speed up the surrogate optimization process. Our method is applied to a constrained drag minimization problem in two-dimensional inviscid transonic flow. The problem is solved for several low-fidelity model termination criteria. The results show that when compared with direct gradient-based optimization with adjoint sensitivities, the proposed approach requires 49-78% less computational cost while still obtaining a comparable airfoil design." @default.
• W589020986 created "2016-06-24" @default.
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• W589020986 date "2015-01-01" @default.
• W589020986 modified "2023-10-17" @default.
• W589020986 title "Surrogate-based Airfoil Design with Space Mapping and Adjoint Sensitivity" @default.
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• W589020986 doi "https://doi.org/10.1016/j.procs.2015.05.201" @default.
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