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    Identification of Modal Parameters of Scaled Bridge PC Beams by OMA Dynamic Tests

    Source: Journal of Bridge Engineering:;2024:;Volume ( 029 ):;issue: 008::page 04024051-1
    Author:
    Alessandra De Angelis
    ,
    Daniele Losanno
    ,
    Fulvio Parisi
    ,
    Maria Rosaria Pecce
    DOI: 10.1061/JBENF2.BEENG-6763
    Publisher: American Society of Civil Engineers
    Abstract: The ability of structural health monitoring (SHM) systems to detect defects and damage in existing structures is currently a key issue in the life-cycle management of civil infrastructure. In this respect, the use of dynamic identification to detect the loss of prestress load, grouting defects, cracking, and corrosion in post-tensioned concrete (PC) bridges is receiving special interest as an attractive tool that may drive predictive maintenance for disaster risk mitigation, motivating widespread implementation of SHM systems in engineering practice. In this study, an experimental program on reduced-scale PC beams representative of typical girder bridge decks, at the Department of Structures for Engineering and Architecture, University of Naples Federico II, is presented. The specimens were characterized by different prestressing load levels, grout injection conditions of post-tensioning ducts, and strand rupture during testing. Operational modal analysis (OMA) was carried out at multiple steps of each test, which were associated with different damage states of the specimens. OMA results show that both natural frequencies and mode shapes of PC girders are not significantly influenced by slight cracking corresponding to service load levels, while indicating some frequency variations in the case of local strand failure.
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      Identification of Modal Parameters of Scaled Bridge PC Beams by OMA Dynamic Tests

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4298646
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    • Journal of Bridge Engineering

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    contributor authorAlessandra De Angelis
    contributor authorDaniele Losanno
    contributor authorFulvio Parisi
    contributor authorMaria Rosaria Pecce
    date accessioned2024-12-24T10:17:37Z
    date available2024-12-24T10:17:37Z
    date copyright8/1/2024 12:00:00 AM
    date issued2024
    identifier otherJBENF2.BEENG-6763.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4298646
    description abstractThe ability of structural health monitoring (SHM) systems to detect defects and damage in existing structures is currently a key issue in the life-cycle management of civil infrastructure. In this respect, the use of dynamic identification to detect the loss of prestress load, grouting defects, cracking, and corrosion in post-tensioned concrete (PC) bridges is receiving special interest as an attractive tool that may drive predictive maintenance for disaster risk mitigation, motivating widespread implementation of SHM systems in engineering practice. In this study, an experimental program on reduced-scale PC beams representative of typical girder bridge decks, at the Department of Structures for Engineering and Architecture, University of Naples Federico II, is presented. The specimens were characterized by different prestressing load levels, grout injection conditions of post-tensioning ducts, and strand rupture during testing. Operational modal analysis (OMA) was carried out at multiple steps of each test, which were associated with different damage states of the specimens. OMA results show that both natural frequencies and mode shapes of PC girders are not significantly influenced by slight cracking corresponding to service load levels, while indicating some frequency variations in the case of local strand failure.
    publisherAmerican Society of Civil Engineers
    titleIdentification of Modal Parameters of Scaled Bridge PC Beams by OMA Dynamic Tests
    typeJournal Article
    journal volume29
    journal issue8
    journal titleJournal of Bridge Engineering
    identifier doi10.1061/JBENF2.BEENG-6763
    journal fristpage04024051-1
    journal lastpage04024051-17
    page17
    treeJournal of Bridge Engineering:;2024:;Volume ( 029 ):;issue: 008
    contenttypeFulltext
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