Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/18142
Title: Automatic modal identification and variability in measured modal vectors of a cable-stayed bridge
Authors: Ni, YQ 
Fan, KQ
Zheng, G
Ko, JM 
Keywords: Automatic modal identification
Cable-stayed bridge
Complex modal indication function
Modal variability
Modal vector
Monitoring system
Issue Date: 2005
Publisher: Techno Press
Source: Structural engineering and mechanics, 2005, v. 19, no. 2, p. 123-139 How to cite?
Journal: Structural engineering and mechanics 
Abstract: An automatic modal identification program is developed for continuous extraction of modal parameters of three cable-supported bridges in Hong Kong which are instrumented with a long-term monitoring system. The program employs the Complex Modal Indication Function (CMIF) algorithm for identifying modal properties from continuous ambient vibration measurements in an on-line manner. By using the LabVIEW graphical programming language, the software realizes the algorithm in Virtual Instrument (VI) style. The applicability and implementation issues of the developed software are demonstrated by using one-year measurement data acquired from 67 channels of accelerometers permanently installed on the cable-stayed Ting Kau Bridge. With the continuously identified results, variability in modal vectors due to varying environmental conditions and measurement errors is observed. Such an observation is very helpful for selection of appropriate measured modal vectors for structural health monitoring use.
URI: http://hdl.handle.net/10397/18142
ISSN: 1225-4568
EISSN: 1598-6217
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