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Dynamic Performance Analysis of the Towers of a Long-Span Bridge Based on GPS Monitoring Technique
Joint Authors
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-04-18
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
The present study investigates the parameter identification and the dynamic performance of a long-span bridge tower based on the output of a global positioning system (GPS) health monitoring system.
The random decrement (RD) algorithm is used to estimate the tower displacement impulse response.
Three methods are applied to extract the dynamic performance including least squares complex exponential (LSCE) method, Hilbert envelope method (HEM), and eigensystem realization algorithm (ERA).
Results reveal that the HEM and LSCE method are more suitable to extract fundamental frequency and modal and damping ratios of the tower.
Furthermore, the dynamic properties and statistical time series analysis of the GPS measurements illustrate that the traffic loads have a high significant impact on the semistatic and dynamic performances.
American Psychological Association (APA)
Kaloop, Mosbeh R.& Hu, Jong Wan. 2016. Dynamic Performance Analysis of the Towers of a Long-Span Bridge Based on GPS Monitoring Technique. Journal of Sensors،Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1110602
Modern Language Association (MLA)
Kaloop, Mosbeh R.& Hu, Jong Wan. Dynamic Performance Analysis of the Towers of a Long-Span Bridge Based on GPS Monitoring Technique. Journal of Sensors No. 2016 (2016), pp.1-14.
https://search.emarefa.net/detail/BIM-1110602
American Medical Association (AMA)
Kaloop, Mosbeh R.& Hu, Jong Wan. Dynamic Performance Analysis of the Towers of a Long-Span Bridge Based on GPS Monitoring Technique. Journal of Sensors. 2016. Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1110602
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110602