On Modal Parameter Estimates from Ambient Vibration Tests

A. Agneni, Rune Brincker, B. Coppotelli

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

    16 Citations (Scopus)
    648 Downloads (Pure)

    Abstract

    Modal parameter estimates from ambient vibration testing are turning into the preferred technique when one is interested in systems under actual loadings and operational conditions. Moreover, with this approach, expensive devices to excite the structure are not needed, since it can be adequately excited by human activities, wind, gust, etc. In this paper, the comparison between two differeiit vibration testing techniques is presented. The first approach takes advantage of the Frequency Domain Decomposition, FDD, of the response cross power spectral densities to estimate both the natural frequencies and the "unscaled" mode shapes, whereas the second one, starting from the Hilbert transform of auto power spectral densities and taking account of the cross power spectral densities, allows one to get the frequency response functions. Both the techniques have been used to estimate the modal parameters of two simple structures (a beam and a plate), excited by an acoustical random signal.
    Original languageEnglish
    Title of host publicationProceedings of the International Conference on Noise and Vibration Engineering : ISMA2004 : Leuven, Belgium, 20 - 22 September, 2004
    Number of pages8
    Publication date2004
    Publication statusPublished - 2004
    EventThe International Conference on Noise and Vibration Engineering : ISMA2004 - Leuven, Belgium
    Duration: 20 Sept 200422 Sept 2004

    Conference

    ConferenceThe International Conference on Noise and Vibration Engineering : ISMA2004
    Country/TerritoryBelgium
    CityLeuven
    Period20/09/200422/09/2004

    Keywords

    • Modal Parameters
    • Vibrations
    • Ambient Vibrations
    • Vibration Tests
    • Frequency Domain Decomposition
    • FDD
    • Frequency Response Functions
    • FRF

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