| Citation: | Wu Zhigang, Yang Chao. Volterra series based transonic unsteady aerodynamics modeling[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(04): 373-376. (in Chinese)
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[1] 管 德. 飞机气动弹性力学手册[M]. 北京:航空工业出版社,1994 Guan De. Aircraft aeroelasticity handbook[M]. Beijing:Aeronautical Industry Press, 1994 (in Chinese) [2] Rodden W P, John E H. MSC/NASTRAN aeroelastic analysis user’s guide[M]. The MacNeal-Schwendler Corporation, 1994 [3] Batina J T. Efficient algorithm for solution of the unsteady transonic small-disturbance equation[J]. Journal of Aircraft, 1988, 25(7):598~605 [4] Stephens C H, Arena A S, Gupta K K. CFD-Based aeroservoelastic predictions with comparisons to benchmark experimental data . AIAA paper-99-0766, 1999 [5] Kreiselmaier E, Laschka B. Small disturbance euler equations:efficient and accurate tool for unsteady load prediction[J]. Journal of Aircraft, 2000, 37(5):770~778 [6] Silva W A. A methodology for using nonlinear aerodynamics in aeroservoelastic analysis and design . AIAA paper-91-1110, 1991 [7] Raveh D E. Reduced-Order models for nonliear unsteady aaerodynamics[J]. AIAA Journal, 2001, 39(8):1417~1429 [8] Rugh W J. Nonliear system theory:The Volterra-Wiener approach[M]. The Johns Hopkins University Press, 1981 [9] Tiffang S H, Karpel M. Aeroservoelastic modeling and applications using minimum-state approximations of the unsteady aerodynamics . AIAA paper-89-1188, 1989 [10] 陆志良, 郭同庆, 管 德. 跨音速颤振计算方法研究 [J]. 航空学报, 2004, 25(4):214~217 Lu Zhiliang, Guo Tongqing, Guan De. A study of calculation method for transonic flutter[J]. Acta Aeronautica et Astronautica Sinica, 2004, 25(4):214~217(in Chinese)
|
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