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    Parametric Statistical Moment Method for Damage Detection and Health Monitoring

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2016:;Volume ( 002 ):;issue: 002
    Author:
    Nicola Impollonia
    ,
    Isabella Failla
    ,
    Giuseppe Ricciardi
    DOI: 10.1061/AJRUA6.0000863
    Publisher: American Society of Civil Engineers
    Abstract: This paper enriches the statistical moment-based damage detection method with approximate parametric solutions of the stationary second-order moments of nodal displacements and velocity, which are explicitly related to stiffness and modal damping parameters. Then, a weighted least-squares approach is employed to search for the stiffness and damping inversely when the objective function is minimized. The method is able to detect both stiffness reduction, simulating damage, and modal damping ratio of relevant modes, the latter being a decisive issue for damage detection. After the procedure to get an approximate explicit solution is recalled, the steps involved in the identification process are stated and an eventual modal truncation is proposed to allow the analysis of larger systems. Applications on a pinned beam and a two-dimensional panel are reported to check the consistency of the method and to investigate to effects of measurement noise on the identification procedure.
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      Parametric Statistical Moment Method for Damage Detection and Health Monitoring

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    https://yetl.yabesh.ir/yetl1/handle/yetl/82804
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    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

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    contributor authorNicola Impollonia
    contributor authorIsabella Failla
    contributor authorGiuseppe Ricciardi
    date accessioned2017-05-08T22:34:10Z
    date available2017-05-08T22:34:10Z
    date copyrightJune 2016
    date issued2016
    identifier other49875691.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/82804
    description abstractThis paper enriches the statistical moment-based damage detection method with approximate parametric solutions of the stationary second-order moments of nodal displacements and velocity, which are explicitly related to stiffness and modal damping parameters. Then, a weighted least-squares approach is employed to search for the stiffness and damping inversely when the objective function is minimized. The method is able to detect both stiffness reduction, simulating damage, and modal damping ratio of relevant modes, the latter being a decisive issue for damage detection. After the procedure to get an approximate explicit solution is recalled, the steps involved in the identification process are stated and an eventual modal truncation is proposed to allow the analysis of larger systems. Applications on a pinned beam and a two-dimensional panel are reported to check the consistency of the method and to investigate to effects of measurement noise on the identification procedure.
    publisherAmerican Society of Civil Engineers
    titleParametric Statistical Moment Method for Damage Detection and Health Monitoring
    typeJournal Paper
    journal volume2
    journal issue2
    journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    identifier doi10.1061/AJRUA6.0000863
    treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2016:;Volume ( 002 ):;issue: 002
    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