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ISPRS Int. J. Geo-Inf. 2016, 5(5), 61; doi:10.3390/ijgi5050061

Time-Series and Frequency-Spectrum Correlation Analysis of Bridge Performance Based on a Real-Time Strain Monitoring System

1
Department of Civil and Environmental Engineering, Incheon National University, 406-840 Incheon, Korea
2
Department of Public Works and Civil Engineering, Mansoura University, 35516 Mansoura, Egypt
3
Incheon Disaster Prevention Research Center, Incheon National University, 406-840 Incheon, Korea
4
Department of Structural Engineering, Mansoura University, Mansoura 35516, Egypt
*
Author to whom correspondence should be addressed.
Academic Editors: Jamal Jokar Arsanjani and Wolfgang Kainz
Received: 11 March 2016 / Revised: 28 April 2016 / Accepted: 3 May 2016 / Published: 10 May 2016
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Abstract

Monitoring bridges’ performance is a vital task to ensure their safety and to plan their maintenance operations. Therefore, it is very important to monitor bridges’ behavior and to analyze their measured data. In this study, the time-series and frequency-spectrum correlation analyses are used to study the performance of Fu-Sui Bridge under harsh environmental and traffic loads. It investigates the bridge performance based on a real-time strain monitoring system, and the ambient environmental and traffic loads are studied and discussed. Furthermore, a simplified method based on signal processing is developed and used to estimate the traffic volumes. The results of this study reveal that the traffic loads influence on static strain is obviously lower than that of air temperature and temperature changes of the bridge cross-section; the non-linearity behavior of the bridge during summer time is more than winter time; and the stability of the whole bridge during winter time is more than during summer time. The time-series and vibration analyses also show that the bridge performance in terms of its rigidity and stability is higher during winter time. View Full-Text
Keywords: bridge; strain; correlation analysis; traffic; temperature bridge; strain; correlation analysis; traffic; temperature
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Kaloop, M.R.; Hu, J.W.; Elbeltagi, E. Time-Series and Frequency-Spectrum Correlation Analysis of Bridge Performance Based on a Real-Time Strain Monitoring System. ISPRS Int. J. Geo-Inf. 2016, 5, 61.

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ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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