34th Congress of the International Council of the Aeronautical Sciences

03.4 - Applied Aerodynamics

INTELLIGENT RECONSTRUCTION METHOD OF AIRFOIL FLOW FIELD BASED ON DEEP ATTENTION NETWORK

K. Zuo¹, X. Yuan, China Aerodynamics Research and Development Center, China; W. Zhang¹, Z. Ye¹; ¹Northwestern Polytechnical University, China

The computation of aerodynamic parameters using Navier-Stokes (NS) equations is notably time-consuming.To address this, a data-driven Deep Attention Network (DAN) is introduced for rapid reconstruction of steady flow fields over various airfoil shapes. DAN model showcases robust generalization capabilities and high prediction accuracy across a wide array of airfoil flow fields.


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