Abstract：When a bridge stays in a windy environment,the aerodynamic force makes it act as a non-classic system.For studying this,a five-parameter bridge segment model based on active control was proposed here to simalate a bridge section wind tunnel test model with eight flutter derivatives.According to the principle of equivalent force system,the proposed model constructed with the signal feedback technique coincided with the wind tunnel test model in the aspects of mathematics and mechanics.With a geometric transformation,the linear displacement signals measured in the wind tannel test could be transformed into the angular displacement signals.Meanwhile,the system’s FRF matrix was obtained with the MIMO analysis technique simply and accurately.Then the control parameters were identified with the left-right eigenvectors identification algorithm based on the complex modal theory.Through simulations,the rationality of the proposed model was validated.The results revealed the application prospect of the proposed model in bridge wind-induced vibration study.
邓智，宋汉文. 基于反馈控制的桥梁节段模型干风洞实验仿真[J]. 振动与冲击, 2017, 36(5): 120-126.
DENG Zhi,SONG Hanwen. Simulation for a Bridge Section Model’s Wind Tunnel Test Based on Feedback Control. JOURNAL OF VIBRATION AND SHOCK, 2017, 36(5): 120-126.
[1] Scanlan R H, Tomo J J. Air foil and bridge deck flutter derivatives[J]. Journal of Soil Mechanics & Foundations Div, 1971, 97(6): 1717-1733.
[2] Sarkar P P. New identification methods applied to the response of flexible bridges to wind. Ph.D Thesis, The Johns Hopkins University, Baltimore, Maryland, USA, 1992.
[3] Gu M, Zhang R, Xiang H. Identification of flutter derivatives of bridge decks[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2000, 84(2): 151-162.
[4] Gu M, Zhang R, Xiang H. Parametric study on flutter derivatives of bridge decks[J]. Engineering Structures, 2001, 23(12): 1607-1613.
[5] Brownjohn J M W, Jakobsenb J B. Strategies for aeroelastic parameter identification from bridge deck free vibration data[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2001, 89(13): 1113-1136.
[6] Chen A R, He X F, Xiang H F. Identification of 18 flutter derivatives of bridge decks[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2002, 90(12): 2007-2022.
[7] Chowdhury A G, Sarkar P P. A new technique for identification of eighteen flutter derivatives using a three-degree-of-freedom section model[J]. Engineering Structures, 2003, 25(14): 1763-1772.
[8] 许福友, 陈艾荣, 张哲, 王达磊. 确定桥梁模型颤振临界风速的实用方法[J]. 振动与冲击, 2008, 27(12): 97-100.
Xu F Y, Chen A R, Zhang Z, Wang D L. Practical Technique for Determining Critical Flutter Wind Speed of Bridge Model[J]. Journal of Vibration and Shock, 2008, 27(12): 97-100.
[9] 黄方林, 陈政清. 桥梁颤振气动导数识别的迭代法[J]. 振动与冲击, 2002, (2): 64-67.
Huang F L, Chen Z Q. Iterative Method for Identification of Flutter Derivatives of a Sectional Bridge Model[J]. Journal of Vibration and Shock, 2002, 21(2): 64-67.
[10] 周锐，杨詠昕，葛耀君，钱国伟. 平行双幅桥梁的颤振控制试验研究[J]. 振动与冲击, 2014,33(12): 126-132.
Zhou R, Yang Y X, Ge Y J, Qian G W. Tests for flutter control of a twin-separate bridge[J]. Journal of Vibration and Shock, 2014,33(12): 126-132.
[11] 丁泉顺，王景，朱乐东. 桥梁断面颤振导数识别的耦合自由振动方法[J]. 振动与冲击, 2012, 31(24):5-8.
Ding Q S, Wang J, Zhu L D. Coupled free vibration technique for identifying flutter derivatives of bridge decks[J]. Journal of Vibration and Shock, 2012,31(24): 5-8.
[12] 许云涛, 吴志刚, 杨超. 地面颤振模拟试验中的非定常气动力模拟[J]. 航空学报, 2012, 33(11): 1947-1957.
Xu Y T, Wu Z G, Yang C. Simulation of the unsteady aerodynamic forces for ground flutter simulation test[J]. Acta Aeronautica of Astronautica Sinica, 2012, 33(11):1947-1957.
[13] Zhang X X, Chen L F, Song H W. Self-contained eigenvector algorithm applied to the identification of aerodynamic derivatives of bridge model[J]. Science China Technological Sciences, 2011, 54(5): 1134-1140.
[14] Cao B, Sarkar P P. Identification of Rational Functions using two-degree-of-freedom model by forced vibration method[J]. Engineering Structures, 2012, 43: 21-30.
