Identification of unsteady aerodynamic model CFD-based for aeroelastic numerical computation

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Journal of Vibration and Shock ›› 2014, Vol. 33 ›› Issue (20) : 20-25.

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Identification of unsteady aerodynamic model CFD-based for aeroelastic numerical computation

NIE Xue-yuan，LIU Zhong-yu, YANG Guo-wei

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Abstract

Unsteady aerodynamic reduced order model based on computational fluid dynamics (CFD) can either improve computational efficiency or remain the same computational accuracy as CFD. However, modeling ROMs based on the identification technology is strict with the loading method and/or frequency spectrum of the excitation signals. To overcome the shortcoming and improve the identification efficiency, the random white noise signal was taken as excitation to model unsteady aerodynamic forces with one-mode-at-a-time loading way. The multiple-input multiple-output (MIMO) model can be obtained by linear superposition of identified single-input multiple-output (SIMO) autoregressive moving average (ARMA) models. By exerting different frequency and shape excitation signals to identified model, the simulation results from ROM and direct CFD computation were compared and indicate that the same computation accuracy as CFD can be acquired by ROM. Coupled with structural model, the ROM was used to predict the flutter boundaries of AGARD445.6 wing. The numerical simulations show that the flutter results predicted by the ROM are in general agreement with those from direct unsteady Navier-Stokes equations computation and wind-tunnel experiments, and verify that ROM can provide a high efficient method for transonic aeroelastic numerical analysis.

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aeroelastic analysis / unsteady aerodynamic identification / reduced-order models / flutter / random white noise excitation

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NIE Xue-yuan;LIU Zhong-yu;YANG Guo-wei. Identification of unsteady aerodynamic model CFD-based for aeroelastic numerical computation[J]. Journal of Vibration and Shock, 2014, 33(20): 20-25