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Aerodynamic Shape Optimization for Delaying Dynamic Stall of Airfoils by Regression Kriging

The phenomenon of dynamic stall produce adverse aerodynamic loading which can adversely affect the structural strength and life of aerodynamic systems. Aerodynamic shape optimization (ASO) provides an effective approach for delaying and mitigating dynamic stall characteristics without the addition of auxiliary system. ASO, however, requires multiple evaluations time-consuming computational fluid dynamics models. Metamodel-based optimization (MBO) provides an efficient approach to alleviate the computational burden. In this study, the MBO approach is utilized for the mitigation of dynamic stall characteristics while delaying dynamic stall angle of the flow past wind turbine airfoils. The regression Kriging metamodeling technique is used to approximate the objective and constrained functions. The airfoil shape design variables are described with six PARSEC parameters. A total of 60 initial samples are used to construct the metamodel, which is further refined with 20 infill points using expected improvement. The metamodel is validated with the normalized root mean square error based on 20 test data samples. The refined metamodel is used to search for the optimal design using a multi-start gradient-based method. The results show that an optimal design with a 3∘ delay in dynamic stall angle as well a reduction in the severity of pitching moment coefficients can be obtained.

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DOI
Cyfrowy identyfikator dokumentu elektronicznego link otwiera się w nowej karcie 10.1007/978-3-030-50426-7_5
Kategoria
Aktywność konferencyjna
Typ
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Język
angielski
Rok wydania
2020

Źródło danych: MOSTWiedzy.pl - publikacja "Aerodynamic Shape Optimization for Delaying Dynamic Stall of Airfoils by Regression Kriging" link otwiera się w nowej karcie

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