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    Recursive Least-Squares Time Domain Identification of Structural Parameters

    Source: Journal of Applied Mechanics:;1977:;volume( 044 ):;issue: 001::page 135
    Author:
    P. Caravani
    ,
    M. L. Watson
    ,
    W. T. Thomson
    DOI: 10.1115/1.3423979
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A method of identifying structural parameters such as damping and stiffness of a building from its time response under dynamic excitation is presented. A least-squares recursive computer algorithm which requires no matrix inversion is developed and tested with the response of a two-degree-of-freedom structure including Gaussian white noise. The algorithm provides means to account for both the model uncertainty and the investigators’ confidence in the initial guess of the parameters. These statistical quantities can be updated with passage of time. The study indicates that rapid convergence to the correct values of the parameters takes place even under severe noise in the response data.
    keyword(s): Noise (Sound) , Algorithms , Damping , Computers , Stiffness , White noise AND Uncertainty ,
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      Recursive Least-Squares Time Domain Identification of Structural Parameters

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    http://yetl.yabesh.ir/yetl1/handle/yetl/89609
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    contributor authorP. Caravani
    contributor authorM. L. Watson
    contributor authorW. T. Thomson
    date accessioned2017-05-08T23:02:26Z
    date available2017-05-08T23:02:26Z
    date copyrightMarch, 1977
    date issued1977
    identifier issn0021-8936
    identifier otherJAMCAV-26068#135_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/89609
    description abstractA method of identifying structural parameters such as damping and stiffness of a building from its time response under dynamic excitation is presented. A least-squares recursive computer algorithm which requires no matrix inversion is developed and tested with the response of a two-degree-of-freedom structure including Gaussian white noise. The algorithm provides means to account for both the model uncertainty and the investigators’ confidence in the initial guess of the parameters. These statistical quantities can be updated with passage of time. The study indicates that rapid convergence to the correct values of the parameters takes place even under severe noise in the response data.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleRecursive Least-Squares Time Domain Identification of Structural Parameters
    typeJournal Paper
    journal volume44
    journal issue1
    journal titleJournal of Applied Mechanics
    identifier doi10.1115/1.3423979
    journal fristpage135
    journal lastpage140
    identifier eissn1528-9036
    keywordsNoise (Sound)
    keywordsAlgorithms
    keywordsDamping
    keywordsComputers
    keywordsStiffness
    keywordsWhite noise AND Uncertainty
    treeJournal of Applied Mechanics:;1977:;volume( 044 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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