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    Remote Structural Infrasound: Case Studies of Real-Time Infrastructure System Monitoring

    Source: Journal of Infrastructure Systems:;2021:;Volume ( 027 ):;issue: 003::page 04021021-1
    Author:
    Mihan H. McKenna
    ,
    Sarah L. McComas
    ,
    R. Danielle Whitlow
    ,
    Henry Diaz-Alvarez
    ,
    Anna M. Jordan
    ,
    R. Daniel Costley
    ,
    Christopher P. Simpson
    DOI: 10.1061/(ASCE)IS.1943-555X.0000623
    Publisher: ASCE
    Abstract: Infrastructure in the continental United States is often used beyond its design life due to budgetary constraints and logistical hurdles. New structural health monitoring techniques have been developed to mitigate the increasingly constrained resources available by identifying the potential need to repair and retrofit aging infrastructure from modal signatures. Large structures, such as bridges and dams, emit infrasound (acoustic energy below that of human perception) at their natural modes of vibration, which can be related to structural health and capacity; this infrasonic energy can propagate tens of kilometers from the infrastructure. Currently, the determination of structural health requires intensive hands-on measurements of individual elements at repeated intervals. Persistent, remote infrasound assessment provides a method for standoff assessment of the modal behavior of structures for structural health monitoring and damage assessment. Case studies and demonstrations of this technology are presented for water control infrastructure systems, transportation infrastructure systems, and riverine infrastructure systems.
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      Remote Structural Infrasound: Case Studies of Real-Time Infrastructure System Monitoring

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4269756
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    • Journal of Infrastructure Systems

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    contributor authorMihan H. McKenna
    contributor authorSarah L. McComas
    contributor authorR. Danielle Whitlow
    contributor authorHenry Diaz-Alvarez
    contributor authorAnna M. Jordan
    contributor authorR. Daniel Costley
    contributor authorChristopher P. Simpson
    date accessioned2022-01-31T23:27:38Z
    date available2022-01-31T23:27:38Z
    date issued9/1/2021
    identifier other%28ASCE%29IS.1943-555X.0000623.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4269756
    description abstractInfrastructure in the continental United States is often used beyond its design life due to budgetary constraints and logistical hurdles. New structural health monitoring techniques have been developed to mitigate the increasingly constrained resources available by identifying the potential need to repair and retrofit aging infrastructure from modal signatures. Large structures, such as bridges and dams, emit infrasound (acoustic energy below that of human perception) at their natural modes of vibration, which can be related to structural health and capacity; this infrasonic energy can propagate tens of kilometers from the infrastructure. Currently, the determination of structural health requires intensive hands-on measurements of individual elements at repeated intervals. Persistent, remote infrasound assessment provides a method for standoff assessment of the modal behavior of structures for structural health monitoring and damage assessment. Case studies and demonstrations of this technology are presented for water control infrastructure systems, transportation infrastructure systems, and riverine infrastructure systems.
    publisherASCE
    titleRemote Structural Infrasound: Case Studies of Real-Time Infrastructure System Monitoring
    typeJournal Paper
    journal volume27
    journal issue3
    journal titleJournal of Infrastructure Systems
    identifier doi10.1061/(ASCE)IS.1943-555X.0000623
    journal fristpage04021021-1
    journal lastpage04021021-16
    page16
    treeJournal of Infrastructure Systems:;2021:;Volume ( 027 ):;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