Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/67747
Title: Automatic modal identification of cable supported bridges instrumented with a long term monitoring system
Authors: Ni, YQ 
Fan, KQ
Zheng, G
Chan, THT
Ko, JM 
Keywords: Surveillance systems
Software
Structural health monitoring
Computer programming languages
Equipment and services
Labview
Vibrometry
Issue Date: 2003
Publisher: SPIE-International Society for Optical Engineering
Source: Proc. SPIE How to cite?
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 to identify 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 deployed on the cable-stayed Ting Kau Bridge. With the continuously identified results, normal variability of modal vectors caused by varying environmental and operational conditions is observed. Such observation is very helpful for selection of appropriate measured modal vectors for structural health monitoring applications.
URI: http://hdl.handle.net/10397/67747
DOI: 10.1117/12.482379
Appears in Collections:Conference Paper

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