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    Extraction of Bridge Frequencies from a Moving Test Vehicle by Stochastic Subspace Identification

    Source: Journal of Bridge Engineering:;2016:;Volume ( 021 ):;issue: 003
    Author:
    Y. B. Yang
    ,
    Wei-Fan Chen
    DOI: 10.1061/(ASCE)BE.1943-5592.0000792
    Publisher: American Society of Civil Engineers
    Abstract: The technique for extracting bridge frequencies from a moving vehicle was proposed only recently. However, its efficacy may be reduced by road-surface roughness. To this end, the stochastic subspace identification (SSI) is modified to deal with the present time-variant coupled noisy vehicle–bridge interaction system. First, the governing equations for the vehicle and bridge are expressed in state space, including the effects of road roughness and multiple vehicles. Then, they are discretized and transformed to a form suitable for SSI by separating the known from the unknown parameters. Using the Hankel matrix along with the orthogonal projection theorem and singular value decomposition, the observability matrix derived with the vehicle effect suppressed can be used to identify the bridge dynamic properties. It is demonstrated that (1) the proposed SSI approach is more effective for identifying bridge frequencies below 20 Hz for the cases studied, compared with conventional approaches; (2) adding a little damping to the test vehicle can help suppress the vehicle frequency using the proposed approach; and (3) the ongoing traffic is beneficial for amplifying the frequencies of bridges with rough surface.
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      Extraction of Bridge Frequencies from a Moving Test Vehicle by Stochastic Subspace Identification

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4245134
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    contributor authorY. B. Yang
    contributor authorWei-Fan Chen
    date accessioned2017-12-30T13:03:29Z
    date available2017-12-30T13:03:29Z
    date issued2016
    identifier other%28ASCE%29BE.1943-5592.0000792.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4245134
    description abstractThe technique for extracting bridge frequencies from a moving vehicle was proposed only recently. However, its efficacy may be reduced by road-surface roughness. To this end, the stochastic subspace identification (SSI) is modified to deal with the present time-variant coupled noisy vehicle–bridge interaction system. First, the governing equations for the vehicle and bridge are expressed in state space, including the effects of road roughness and multiple vehicles. Then, they are discretized and transformed to a form suitable for SSI by separating the known from the unknown parameters. Using the Hankel matrix along with the orthogonal projection theorem and singular value decomposition, the observability matrix derived with the vehicle effect suppressed can be used to identify the bridge dynamic properties. It is demonstrated that (1) the proposed SSI approach is more effective for identifying bridge frequencies below 20 Hz for the cases studied, compared with conventional approaches; (2) adding a little damping to the test vehicle can help suppress the vehicle frequency using the proposed approach; and (3) the ongoing traffic is beneficial for amplifying the frequencies of bridges with rough surface.
    publisherAmerican Society of Civil Engineers
    titleExtraction of Bridge Frequencies from a Moving Test Vehicle by Stochastic Subspace Identification
    typeJournal Paper
    journal volume21
    journal issue3
    journal titleJournal of Bridge Engineering
    identifier doi10.1061/(ASCE)BE.1943-5592.0000792
    page04015053
    treeJournal of Bridge Engineering:;2016:;Volume ( 021 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian