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    LMS-based approach to structural health monitoring of nonlinear hysteretic structures

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    12631982_SHMJ_04_July_2010 - REVISED-ACCEPTED.pdf (629.7Kb)
    Author
    Nayyerloo, M.
    Chase, J.G.
    MacRae, G.A.
    Chen, X.-Q.
    Date
    2011
    Permanent Link
    http://hdl.handle.net/10092/6331

    Structural health monitoring (SHM) algorithms based on adaptive Least Mean Squares (LMS) filtering theory can directly identify time-varying changes in structural stiffness in realtime in a computationally efficient fashion. However, better metrics of seismic structural damage and future utility after an event are related to permanent and total plastic deformations. This paper presents a modified LMS-based SHM method and a novel two-step structural identification technique using a baseline nonlinear Bouc-Wen structural model to directly identify changes in stiffness due to damage, as well as plastic or permanent deflections. The algorithm is designed to be computationally efficient; therefore it can work in real-time. An in silico single-degree-of-freedom (SDOF) nonlinear shear-type structure is used to prove the concept. The efficiency of the proposed SHM algorithm in identifying stiffness changes and plastic/permanent deflections is assessed under different ground motions using a suite of 20 different ground acceleration records. The results show that in a realistic scenario with fixed filter tuning parameters, the proposed LMS-based SHM algorithm identifies stiffness changes to within 10% of true values within 2.0 seconds. Permanent deflection is identified to within 14% of the actual as-modelled value using noise-free simulation-derived structural responses. This latter value provides important post-event information on the future serviceability, safety, and repair cost.

    Subjects
    structural health monitoring (SHM)
     
    structural identification
     
    damage detection
     
    nonlinear hysteretic structures
     
    the Bouc-Wen model
     
    adaptive LMS filters
     
    Field of Research::09 - Engineering::0905 - Civil Engineering::090506 - Structural Engineering
     
    Field of Research::09 - Engineering::0905 - Civil Engineering::090504 - Earthquake Engineering
    Collections
    • Engineering: Journal Articles [935]
    Rights
    http://library.canterbury.ac.nz/ir/rights.shtml

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