The application of time series analysis to describe the dynamic movements of suspension bridges

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dc.contributor.authorErdoğan, Hediye
dc.contributor.authorGülal, Engin
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-29T19:26:43Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-29T19:26:43Z
dc.date.issued2009
dc.departmentMühendislik Fakültesi
dc.description.abstractOperational safety and the operational status of engineering structures depend on the specifications given during the design stage of the structure, on the observations made during the construction and which continue when the structure is in use. Furthermore, it is important that comprehensive emergency situation plans exist in case irregular movements occur. The Istanbul Bosphorus Bridge was completed in 1973 and connects Asia to Europe. To determine the current operational safety of the bridge, its movements were observed under different stress factors such as wind speed, temperature change and traffic load. The observed lateral, longitudinal and vertical movements of bridge's deck and towers were studied and described using time series analyses. As a result of the analysis of the short-term observations, the linear trend components in the series originating from long-term periodical movements of the bridge were determined. In the analysis of the periodic components of the series, high-pass and low-pass filtering processes were applied to the series to determine the low and high frequencies of the bridge. The transformation of the series from the time domain to the frequency domain was ensured by Fast Fourier Transform (FFT), and power spectrums of the series were calculated. It was found that low and high frequencies obtained from power spectrums reflected the expected movements of the bridge. It was determined that the bridge deck had many significant periodical movements resulting from wind forces and traffic load. The calculated high frequency values for vertical movements of the bridge deck were found to be in harmony with natural frequency and periodic values of the first 6 modes of the Bosphorus Bridge at the 0.127-0.463 Hz interval. Finally, stochastic components of the time series were determined by the use of Autoregressive (AR) and Autoregressive Moving Average (ARMA) models. In terms of the operational safety and operational status of the Bosphorus Bridge, there were no unexpected results determined by the time series analysis in the observed movements of the bridge. (C) 2007 Elsevier Ltd. All rights reserved.
dc.description.sponsorshipYTU BAPK project [25/05/2003-02]; Yildiz Technical University
dc.description.sponsorshipThis Study was performed within the scope of the YTU BAPK project, "Monitoring the Behaviors of Suspension Bridges under Internal and External Loads by Continuous Measurement Methods", number 25/05/2003-02. We are grateful to the Coordinator of Science and Research Projects, Yildiz Technical University, who supported the project. We would also like to thank Universitat der Bundeswehr Munchen Institut fur Geodasie, Directorate of 17th District of Highways, Professor Dr. O. Heunecke, research assistants B. Akpinar and E. Ata for their help during the study.
dc.identifier.doi10.1016/j.nonrwa.2007.11.013
dc.identifier.endpage927en_US
dc.identifier.issn1468-1218
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ1
dc.identifier.startpage910en_US
dc.identifier.urihttps://doi.org/10.1016/j.nonrwa.2007.11.013
dc.identifier.urihttps://hdl.handle.net/20.500.12451/5689
dc.identifier.volume10en_US
dc.identifier.wosWOS:000262141700025
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofNonlinear Analysis-Real World Applications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectSuspension Bridged
dc.subjectTime Series Analysis
dc.subjectFFT
dc.subjectLow and High Frequencies
dc.titleThe application of time series analysis to describe the dynamic movements of suspension bridges
dc.typeArticle

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