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http://dx.doi.org/10.12989/sss.2012.10.4_5.353

Modal identification of Canton Tower under uncertain environmental conditions  

Ye, Xijun (School of Civil Engineering and Transportation, South China University of Technology)
Yan, Quansheng (School of Civil Engineering and Transportation, South China University of Technology)
Wang, Weifeng (School of Civil Engineering and Transportation, South China University of Technology)
Yu, Xiaolin (School of Civil Engineering and Transportation, South China University of Technology)
Publication Information
Smart Structures and Systems / v.10, no.4_5, 2012 , pp. 353-373 More about this Journal
Abstract
The instrumented Canton Tower is a 610 m high-rise structure, which has been considered as a benchmark problem for structural health monitoring (SHM) research. In this paper, an improved automatic modal identification method is presented based on a natural excitation technique in conjunction with the eigensystem realization algorithm (NExT/ERA). In the proposed modal identification method, damping ratio, consistent mode indicator from observability matrices (CMI_O) and modal amplitude coherence (MAC) are used as criteria to distinguish the physically true modes from spurious modes. Enhanced frequency domain decomposition (EFDD), the data-driven stochastic subspace identification method (SSI-DATA) and the proposed method are respectively applied to extract the modal parameters of the Canton Tower under different environmental conditions. Results of modal parameter identification based on output-only measurements are presented and discussed. User-selected parameters used in those methods are suggested and discussed. Furthermore, the effect of environmental conditions on the dynamic characteristics of Canton tower is investigated.
Keywords
high-rise structure; modal identification; ambient excitation; environmental condition;
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