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- W2321244090 abstract "An efficient, robust design optimization method based on surrogate models was developed and applied to a practical design problem of a low-noise, coaxial contrarotating rotor. A classical Monte Carlo simulation was carried out at greatly reduced computational cost through dual-level Kriging surrogate models, and it determines the variance of the simulation for uncertainty quantification. The accuracy and numerical stability of the Kriging model were improved by a mathematical indicator of the function trend. The numerical instabilities of the Kriging model in finding distribution parameters were also reduced by the approaches of penalization and cross-validation in a maximum likelihood evaluation. Finally, the robust design optimization framework was applied to a low-noise DLR, German Aerospace Center contrarotating open rotor at a nominal takeoff condition. The objective function was to minimize an overall sound power level at the baseline thrust level. An efficient computational-fluid-dynamics approach ..." @default.
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- W2321244090 date "2016-09-01" @default.
- W2321244090 modified "2023-09-27" @default.
- W2321244090 title "Surrogate-Based Robust Optimization and Design to Unsteady Low-Noise Open Rotors" @default.
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- W2321244090 doi "https://doi.org/10.2514/1.c033109" @default.
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