MPUQ-b: Bootstrapping Based Modal Parameter Uncertainty Quantification—Fundamental Principles

S. Chauhan, S. I. Ahmed

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

    Abstract

    It is well known that modal parameters play a key role towards understanding the dynamics of a structure. Their estimation, by means of experiments, forms the crux of modal analysis. Modal parameters not only help in characterizing the dynamics of the structure but are also used for several other purposes including, finite element model updating, design optimization, sensitivity analysis, etc. It is therefore important to estimate them accurately and several modal parameter estimation techniques have been developed over the years for this purpose. Despite advance methods, estimation of modal parameters is always accompanied with certain uncertainty, which can be attributed to several factors including, noisy measurements, complexities inherent in the structure, modeling errors etc. Remarkably, the usual practice is to provide the estimated modal parameters as they are, without providing any means to validate the accuracy of these estimates. In other words, the estimation procedure often does not include, or overlooks, the measures for quantifying the uncertainty associated with estimated modal parameters.
    Original languageEnglish
    Title of host publicationModel Validation and Uncertainty Quantification
    Volume3
    PublisherSpringer
    Publication date2017
    Pages219-237
    Chapter22
    DOIs
    Publication statusPublished - 2017
    Event35th Conference and Exposition on Structural Dynamics (IMAC 2017) - Garden Grove, United States
    Duration: 30 Jan 20172 Feb 2017

    Conference

    Conference35th Conference and Exposition on Structural Dynamics (IMAC 2017)
    Country/TerritoryUnited States
    CityGarden Grove
    Period30/01/201702/02/2017
    SeriesConference Proceedings of the Society for Experimental Mechanics Series
    ISSN2191-5644

    Keywords

    • Bootstrapping
    • Uncertainty quantification
    • Modal parameter estimation
    • Statistical inference
    • Standard error

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