Extracting statistically dominant modes of a steel truss bridge from vehicle-induced vibrations

C. W. Kim, K.C. Chang, P. J. McGetrick

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This study is intended to investigate the validity of the stability diagram (SD) aided multivariate autoregressive (MAR) analysis for identifying modal parameters of a real truss bridge. The MAR models are adopted to fit the time series of the dynamic accelerations recorded from a number of observation points on the bridge; then the modal parameters are extracted from the MAR model coefficient matrix. The SD is adopted to determine statistically dominant modes. In plotting the SD, a number of stability criteria are further adopted for filtering out those modes with unstable modal parameters. By the present method, the first five modal frequencies and mode shapes are identified with very high precision, while the damping ratios are identified with high precision for the 1st mode but with poorer precision for higher modes. Moreover, the ability of the SD in selecting structural modes without getting involved in any model-order optimization problem is highlighted through a comparison study.
    Original languageEnglish
    Title of host publicationProceedings of the 7th International Symposium on Steel Structures (ISSS-2013)
    PublisherKSCC
    Number of pages2
    Publication statusPublished - Nov 2013
    EventThe 7th International Symposium on Steel Structures (ISSS-2013) - Jeju, Korea, Republic of
    Duration: 07 Nov 201309 Nov 2013

    Conference

    ConferenceThe 7th International Symposium on Steel Structures (ISSS-2013)
    CountryKorea, Republic of
    CityJeju
    Period07/11/201309/11/2013

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