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    Input and state estimation for earthquake-excited building structures using acceleration measurements

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    Taher_ku_0099M_15977_DATA_1.pdf (1.417Mb)
    Issue Date
    2018-05-31
    Author
    Taher, Sdiq Anwar
    Publisher
    University of Kansas
    Format
    55 pages
    Type
    Thesis
    Degree Level
    M.S.
    Discipline
    Civil, Environmental & Architectural Engineering
    Rights
    Copyright held by the author.
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    Abstract
    Estimating both state and ground input for earthquake-excited building structures using a limited number of absolute acceleration measurements is critical to post-disaster damage assessment and structural evaluation. Input estimation in this case is particularly challenging due to the lack of direct feedthrough term, which renders the system weakly observable for its input. Hence, input estimation in this scenario is sensitive to modeling error and measurement noise. In this thesis, a two-step strategy is proposed to estimate both state (displacement and velocity) and ground input using a limited number of absolute acceleration measurements for building structures. First, the ground input is estimated by solving a least squares problem with Tikhonov regularization and Bayesian inference. In the second step, floor states are estimated using Kalman filter with input obtained from the first step, the least squares with Tikhonov regularization and Bayesian inference. The proposed strategy was numerically and experimentally evaluated based on shear-type building structures.
    URI
    http://hdl.handle.net/1808/27602
    Collections
    • Theses [3710]

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    785-864-8983
    KU Libraries
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    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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