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- W2167242571 abstract "In this paper, a robust design optimization framework is proposed with a variable fidelity Kriging model. By the use of the variable fidelity Kriging model approach, an accurate surrogate model can be constructed efficiently by the absolute values of a highfidelity function as well as the trends obtained by low-fidelity function values. The high and low-fidelity levels are defined by utilizing different physical models/computational meshes in this study. The robustness of an obtained design is evaluated by a Monte Carlo simulation which is executed on the variable fidelity Kriging model. The efficiencies of the developed robust design optimization approaches are investigated by a 2D airfoil drag minimization problem. In this problem, free-stream Mach number as well as target lift coefficient are supposed as uncertain parameters. The mean and standard deviation of drag coefficient are simultaneously minimized to obtain non-dominated robust optimal designs. The developed robust design optimization approach via the variable fidelity Kriging model is shown to be useful for efficient search of robust airfoil designs. Nomenclature d C = drag coefficient * l C = target lift coefficient p C = pressure coefficient M = free-stream Mach number = angle of attack [deg] = mean = standard deviation" @default.
- W2167242571 created "2016-06-24" @default.
- W2167242571 creator A5077530127 @default.
- W2167242571 date "2012-04-23" @default.
- W2167242571 modified "2023-09-26" @default.
- W2167242571 title "Efficient Robust Design Optimization by Variable Fidelity Kriging Model" @default.
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- W2167242571 doi "https://doi.org/10.2514/6.2012-1926" @default.
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