Advanced SearchSearch Tips
Efficient Time Domain Aeroelastic Analysis Using System Identification
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Efficient Time Domain Aeroelastic Analysis Using System Identification
Kwon, Hyuk-Jun; Kim, Jong-Yun; Lee, In; Kim, Dong-Hyun;
  PDF(new window)
The CFD coupled aeroelastic analyses have significant advantages over linear panel methods in their accuracy and usefulness for the simulation of actual aeroelastic motion after specific initial disturbance. However, in spite of their advantages, a heavy computation time is required. In this paper, a method is discussed to save a computational cost in the time domain aeroelastic analysis based on the system identification technique. The coefficients of system identification model are fit to the computed time response obtained from a previously developed aeroelastic analysis code. Because the non-dimensionalized data is only used to construct the model structure, the resulting model of the unsteady CFD solution is independent of dynamic pressure and this independency makes it possible to find the flutter dynamic pressure without the unsteady aerodynamic computation. To confirm the accuracy of the system identification methodology, the system model responses are compared with those of the CFD coupled aeroelastic analysis at the same dynamic pressure.
Flutter;Aeroelasticity;System identification;Reduced-order modeling;
 Cited by
Dowell, E. H., 1996, 'Eigenmode analysis m unsteady aerodynamics: reduced-order models', AlAA, Vol. 34, No. 8, pp. 1578-1583

Kim, T. H., and Bussoletti, J. E., 2001, 'An optimal reduced-order aeroelastic modeling based on a response-based modal analysis of unsteady CFD models', AlAA Paper pp. 2001-1525

Breuer, K. S., and Sirovich, L., 1991, 'The use of the Karhunen-Loeve procedure for the calculation of linear eigenfunctions', Journal of Computational Physics, Vol. 96, pp. 277-296 crossref(new window)

Tang, D., Kholodar, D., Juang, J. N., and Dowell, E. H., 2001, 'System identification and proper orthogonal decomposition method applied to unsteady aerodynamics', AlAA, Vol. 39, No. 8, pp. 1569-1576

Silva, W. A., 1999, ' Reduced-order models based on linear and nonlinear aerodynamic impulse responses', AlAA paper 99-1262

Cowan., T. J., Arena, A. S., and Gupta, K. K., 1999, 'Development of a discrete-time aerodynamic model for CFD-based aeroelastic analysis', AlAA paper 99-0765

Cowan., T. J. Arena, A. S., and Gupta, K. K., 2001, 'Accelerating computational fluid dynamics based aeroelastic predictions using system identification', Journal of Aircraft, Vol. 38, No. 1, pp. 81-87 crossref(new window)

Kim, D. H., and Lee, I., 2002, 'CFD-based matched-point transonic and supersonic flutter computations using a modified TSD equation', Computational Fluid Dynamics Journal, Vol. 11, No. 1, pp. 44-54

Johansson, R. 1993, System modeling and identification, Prentice-Hall