Automatic modal identification of cable-supported bridges instrumented with a long-term monitoring system
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Description
An automatic modal identification program is developed for continuous extraction of modal parameters of three cablesupported 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 cablestayed 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.
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ID Code: | 12784 | ||
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Item Type: | Chapter in Book, Report or Conference volume (Conference contribution) | ||
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Measurements or Duration: | 11 pages | ||
Keywords: | automatic modal identification, complex modal indication function, environmental variability, modal vector | ||
DOI: | 10.1117/12.482379 | ||
ISBN: | 0277-786X | ||
Pure ID: | 34108937 | ||
Divisions: | Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering Past > Schools > School of Urban Development |
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Copyright Owner: | Copyright 2003 International Society for Optical Engineering (SPIE) | ||
Copyright Statement: | Reproduced in accordance with the copyright policy of the publisher. | ||
Deposited On: | 04 Mar 2008 00:00 | ||
Last Modified: | 03 Mar 2024 21:06 |
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