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Smart Structures and Systems
  Volume 10, Number 4, October - November 2012, pages 393-410

Operational modal analysis for Canton Tower
Yan Niu, Peter Kraemer and Claus-Peter Fritzen

    The 610 m high Canton Tower (formerly named Guangzhou New Television Tower) is currently considered as a benchmark problem for structural health monitoring (SHM) of high-rise slender structures. In the benchmark study task I, a set of 24-hour ambient vibration measurement data has been available for the output-only system identification study. In this paper, the vector autoregressive models (ARV) method is adopted in the operational modal analysis (OMA) for this TV tower. The identified natural frequencies, damping ratios and mode shapes are presented and compared with the available results from some other research groups which used different methods, e.g., the data-driven stochastic subspace identification (SSIDATA) method, the enhanced frequency domain decomposition (EFDD) algorithm, and an improved modal identification method based on NExT-ERA technique. Furthermore, the environmental effects on the estimated modal parameters are also discussed.
Key Words
    operational modal analysis (OMA); Canton Tower, vector autoregressive models (ARV) method; environmental effects; structural health monitoring (SHM)
Yan Niu and Claus-Peter Fritzen :Center for Sensor Systems (ZESS), University of Siegen, Germany, Institute of Mechanics and Control Engineering-Mechatronics, University of Siegen, Germany
Peter Kraemer : Woelfel Beratende Ingenieure, Hoechberg, Germany

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