Signal stationarization in damping estimation for bridges from traffic loadings

S. Kim, H. K. Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study focuses on the enhancement in damping estimation of cable-stayed bridges from traffic loadings by a signal stationarization. Since the response of bridge in a sensing position is represented by an envelope-like function as traffic loading moves over the deck, the operational monitoring data can be nonstationary when the number of lanes of the bridge is limited one or two for one direction with small volume of traffic. In this case, the estimation of damping from operational modal analysis becomes more challenging. An amplitude-modulating (AM) function was proposed for minimizing this sort of nonstationarity. The AM function was obtained from temporal root-mean-square function of measured response. An approximated stationary signal was extracted from dividing the original signal by the AM function. This process reduced nonstationarity in traffic-induced response significantly. Using these stabilized damping ratio, a correlation analysis was performed with the representative environmental factors.

Original languageEnglish
Title of host publicationSHMII 2017 - 8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, Proceedings
EditorsSaeed Mahini, Saeed Mahini, Tommy Chan
PublisherInternational Society for Structural Health Monitoring of Intelligent Infrastructure, ISHMII
Pages370-376
Number of pages7
ISBN (Electronic)9781925553055
StatePublished - 2017
Event8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2017 - Brisbane, Australia
Duration: 5 Dec 20178 Dec 2017

Publication series

NameSHMII 2017 - 8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, Proceedings

Conference

Conference8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2017
Country/TerritoryAustralia
CityBrisbane
Period5/12/178/12/17

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