Bridge Monitoring with Wavelet Principal Component and Spectrum Analysis Based on GPS Measurements: Case Study of the Mansoura Bridge in Egypt
Publication: Journal of Performance of Constructed Facilities
Volume 29, Issue 3
Abstract
Deformation and expansion joint movement of bridges are among the problems that widely exist in bridge engineering practice. Therefore, it is very important to monitor deformation of bridges and to timely process and analyze the measured data to ensure their safety. Mansoura Bridge, located at El-Mansoura City in Egypt, is selected to demonstrate the utilization of bridge deck deformation monitoring data to analyze and evaluate its safety based on global positioning system (GPS) measurements. The wavelet principal component analysis (WPCA) and spectrum methods are used to establish the time and frequency domain of bridge deformation and analyze the behavior and movement of the bridge under working traffic loads. The following conclusions are obtained in this study: (1) the WPCA can be used to eliminate the GPS observation errors; (2) the three-dimension spectrum gives much richer information for dynamic response; and (3) the deformation and expansion joint movement of Mansoura Bridge are safe under current loads.
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Acknowledgments
This research was supported by Mansoura University, Egypt.
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Published In
Journal of Performance of Constructed Facilities
Volume 29 • Issue 3 • June 2015
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Apr 3, 2013
Accepted: Dec 10, 2013
Published online: Dec 12, 2013
Discussion open until: Jan 6, 2015
Published in print: Jun 1, 2015
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