Insight into coupled forced vibration method to identify bridge flutter derivatives

  • Xu, Fuyou (School of Civil Engineering, Dalian University of Technology) ;
  • Ying, Xuyong (School of Civil Engineering, Dalian University of Technology) ;
  • Zhang, Zhe (School of Civil Engineering, Dalian University of Technology)
  • Received : 2014.09.10
  • Accepted : 2015.11.12
  • Published : 2016.03.25


The flutter derivatives of bridge decks can be efficiently identified using the experimentally and/or numerically coupled forced vibration method. This paper addresses the issue of inherent requirement for adopting different frequencies of three modes in this method. The aerostatic force components and the inertia of force and moment are mathematically proved to exert no influence on identification results if the signal length (t) is integer (n=1,2,3...) times of the least common multiple (T) of three modal periods. It is one important contribution to flutter derivatives identification theory and engineering practice in this study. Therefore, it is unnecessary to worry about the determination accuracy of aerostatic force and inertia of force and moment. The influences of signal length, amplitude, and frequency ratio on flutter derivative are thoroughly investigated using a bridge example. If the signal length t is too short, the extraction results may be completely wrong, and particular attention should be paid to this issue. The signal length t=nT ($n{\geq}5$) is strongly recommended for improving parameter identification accuracy. The proposed viewpoints and conclusions are of great significance for better understanding the essences of flutter derivative identification through coupled forced vibration method.


Supported by : National Science Foundation of China


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