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    Structural Damage Detection from Incomplete and Noisy Modal Test Data

    Source: Journal of Engineering Mechanics:;1998:;Volume ( 124 ):;issue: 011
    Author:
    S. S. Law
    ,
    Z. Y. Shi
    ,
    L. M. Zhang
    DOI: 10.1061/(ASCE)0733-9399(1998)124:11(1280)
    Publisher: American Society of Civil Engineers
    Abstract: Existing research on structural damage detection usually requires information at every degree of freedom, and this contradicts the usual practice of having a small number of sensors employed over limited locations on the structure. A method to detect the location and to estimate the magnitude of damage in a structure down to the element level with incomplete and noisy measured modal data is proposed. The method consists of three stages: expansion of the measured mode shapes, localization of the damage domain using the elemental energy quotient difference, and damage quantification based on sensitivity of the modal frequency. A new mode shape expansion method is presented, and the effectiveness of the combined use of this method and the elemental energy quotient difference is demonstrated with incomplete measurement. The treatment of modeling errors is discussed. A criterion for selection of the damaged members is proposed and practical means to improve the identification results are presented. Several damage cases of the European Space Agency structure and of a single-bay two-story portal steel frame structure in the laboratory are investigated. The practical problem of having random error and systematic error in the measurement is studied. Results show that the proposed three-stage approach can effectively locate and quantify damages in a real structure.
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      Structural Damage Detection from Incomplete and Noisy Modal Test Data

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/84716
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    • Journal of Engineering Mechanics

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    contributor authorS. S. Law
    contributor authorZ. Y. Shi
    contributor authorL. M. Zhang
    date accessioned2017-05-08T22:38:30Z
    date available2017-05-08T22:38:30Z
    date copyrightNovember 1998
    date issued1998
    identifier other%28asce%290733-9399%281998%29124%3A11%281280%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/84716
    description abstractExisting research on structural damage detection usually requires information at every degree of freedom, and this contradicts the usual practice of having a small number of sensors employed over limited locations on the structure. A method to detect the location and to estimate the magnitude of damage in a structure down to the element level with incomplete and noisy measured modal data is proposed. The method consists of three stages: expansion of the measured mode shapes, localization of the damage domain using the elemental energy quotient difference, and damage quantification based on sensitivity of the modal frequency. A new mode shape expansion method is presented, and the effectiveness of the combined use of this method and the elemental energy quotient difference is demonstrated with incomplete measurement. The treatment of modeling errors is discussed. A criterion for selection of the damaged members is proposed and practical means to improve the identification results are presented. Several damage cases of the European Space Agency structure and of a single-bay two-story portal steel frame structure in the laboratory are investigated. The practical problem of having random error and systematic error in the measurement is studied. Results show that the proposed three-stage approach can effectively locate and quantify damages in a real structure.
    publisherAmerican Society of Civil Engineers
    titleStructural Damage Detection from Incomplete and Noisy Modal Test Data
    typeJournal Paper
    journal volume124
    journal issue11
    journal titleJournal of Engineering Mechanics
    identifier doi10.1061/(ASCE)0733-9399(1998)124:11(1280)
    treeJournal of Engineering Mechanics:;1998:;Volume ( 124 ):;issue: 011
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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