Random Decrement and Regression Analysis of Traffic Responses of Bridges

J. C. Asmussen, S. R. Ibrahim, Rune Brincker

    Research output: Book/ReportReportResearchpeer-review

    203 Downloads (Pure)

    Abstract

    The topic of this paper is the estimation of modal parameters from ambient data by applying the Random Decrement technique. The data from the Queensborough Bridge over the Fraser River in Vancouver, Canada have been applied. The loads producing the dynamic response are ambient, e.g. wind, traffic and small ground motion. The Random Decrement technique is used to estimate the correlation function or the free decays from the ambient data. From these functions, the modal parameters are extracted using the Ibrahim Time Domain method. The possible influence of the traffic mass load on the bridge is investigated by assuming that the response level of the bridge is dependent on the mass of the vehicle load. The eigenfrequencies of the bridge are estimated as a function of the response level. This indicates the degree of influence of the mass load on the estimated eigenfrequencies. The results of the analysis using the Random Decrement technique are compared with results from an analysis based on fast Fourier transformations.
    Original languageEnglish
    Place of PublicationAalborg
    PublisherDept. of Building Technology and Structural Engineering, Aalborg University
    Number of pages7
    Publication statusPublished - 1995
    SeriesFracture and Dynamics
    Number65
    VolumeR9529
    ISSN1395-7953

    Bibliographical note

    PDF for print: 11 pp

    Submitted to the 14th International Modal Analysis Conference Dearborn, Michigan, USA, February 12-15, 1996

    Keywords

    • Modal Parameters
    • Random Decrement Technique
    • RD Technique
    • RDD
    • Queensborough Bridge

    Fingerprint

    Dive into the research topics of 'Random Decrement and Regression Analysis of Traffic Responses of Bridges'. Together they form a unique fingerprint.

    Cite this