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    Damage Identification of Bolt Connections in a Steel Frame

    Source: Journal of Structural Engineering:;2014:;Volume ( 140 ):;issue: 003
    Author:
    Jann N. Yang
    ,
    Ye Xia
    ,
    Chin-Hsiung Loh
    DOI: 10.1061/(ASCE)ST.1943-541X.0000831
    Publisher: American Society of Civil Engineers
    Abstract: It is well-known that damage in a structure is a local phenomenon. Based on measured vibration data from sensors, the detection of a local structural damage requires the finite-element formulation for the equations of motion, so that any change in stiffness in a structural element can be identified. However, the finite-element model (FEM) of a complex structure involves a large number of degrees of freedom (DOF), which requires a large number of sensors and involves a heavy computational effort for the identification of structural damages. To overcome such a challenge, we propose the application of a reduced-order model in conjunction with a recently proposed damage detection technique, referred to as the adaptive quadratic sum-square error with unknown inputs (AQSSE-UI). Experimental data for the shake table tests of a
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      Damage Identification of Bolt Connections in a Steel Frame

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    contributor authorJann N. Yang
    contributor authorYe Xia
    contributor authorChin-Hsiung Loh
    date accessioned2017-05-08T22:00:48Z
    date available2017-05-08T22:00:48Z
    date copyrightMarch 2014
    date issued2014
    identifier other%28asce%29st%2E1943-541x%2E0000873.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/68768
    description abstractIt is well-known that damage in a structure is a local phenomenon. Based on measured vibration data from sensors, the detection of a local structural damage requires the finite-element formulation for the equations of motion, so that any change in stiffness in a structural element can be identified. However, the finite-element model (FEM) of a complex structure involves a large number of degrees of freedom (DOF), which requires a large number of sensors and involves a heavy computational effort for the identification of structural damages. To overcome such a challenge, we propose the application of a reduced-order model in conjunction with a recently proposed damage detection technique, referred to as the adaptive quadratic sum-square error with unknown inputs (AQSSE-UI). Experimental data for the shake table tests of a
    publisherAmerican Society of Civil Engineers
    titleDamage Identification of Bolt Connections in a Steel Frame
    typeJournal Paper
    journal volume140
    journal issue3
    journal titleJournal of Structural Engineering
    identifier doi10.1061/(ASCE)ST.1943-541X.0000831
    treeJournal of Structural Engineering:;2014:;Volume ( 140 ):;issue: 003
    contenttypeFulltext
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