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    Multimode Guided Waves–Based Structural Defect Localization Longitudinally and Cross-Sectionally in T-Bars

    Source: Journal of Aerospace Engineering:;2020:;Volume ( 033 ):;issue: 004
    Author:
    Jiaqi Zhang
    ,
    Zhanjun Wu
    ,
    Zhengyan Yang
    ,
    Chang Gao
    ,
    Kehai Liu
    ,
    Yuebin Zheng
    ,
    Kai Zhou
    DOI: 10.1061/(ASCE)AS.1943-5525.0001134
    Publisher: ASCE
    Abstract: Guided waves have been widely utilized in various structural health monitoring (SHM) techniques because of their long propagation distance and high sensitivity to small-scale defects in structural types such as plates and bars. In particular, T-bars are typical structural components commonly used in aerospace engineering, playing significant roles in load-carrying. Thus, the health states of T-bars largely affect the integrity and safety of aircraft structures. This paper presents a novel defect-detection method for T-bars relying on the examination of propagation characteristics of multimode guided waves. To select proper wave frequencies and modes that are sensitive to different locations of defects in T-bars, the dispersion curves and cross-sectional mode shapes of multimode guided waves are investigated systematically using the semianalytical finite element (SAFE) method. A defect localization strategy is then developed based on the multimode characteristics, able of identifying defects both along the longitudinal direction and the cross-sectional region. A weighted gathering method is presented to reduce the interference from the modes other than the selected ones, giving rise to increased accuracy of defect identification. Both finite element (FE) simulations and experiments are performed for an aluminum T-bar structure to validate the feasibility and precision of the proposed method.
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      Multimode Guided Waves–Based Structural Defect Localization Longitudinally and Cross-Sectionally in T-Bars

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4266684
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    contributor authorJiaqi Zhang
    contributor authorZhanjun Wu
    contributor authorZhengyan Yang
    contributor authorChang Gao
    contributor authorKehai Liu
    contributor authorYuebin Zheng
    contributor authorKai Zhou
    date accessioned2022-01-30T20:12:23Z
    date available2022-01-30T20:12:23Z
    date issued2020
    identifier other%28ASCE%29AS.1943-5525.0001134.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4266684
    description abstractGuided waves have been widely utilized in various structural health monitoring (SHM) techniques because of their long propagation distance and high sensitivity to small-scale defects in structural types such as plates and bars. In particular, T-bars are typical structural components commonly used in aerospace engineering, playing significant roles in load-carrying. Thus, the health states of T-bars largely affect the integrity and safety of aircraft structures. This paper presents a novel defect-detection method for T-bars relying on the examination of propagation characteristics of multimode guided waves. To select proper wave frequencies and modes that are sensitive to different locations of defects in T-bars, the dispersion curves and cross-sectional mode shapes of multimode guided waves are investigated systematically using the semianalytical finite element (SAFE) method. A defect localization strategy is then developed based on the multimode characteristics, able of identifying defects both along the longitudinal direction and the cross-sectional region. A weighted gathering method is presented to reduce the interference from the modes other than the selected ones, giving rise to increased accuracy of defect identification. Both finite element (FE) simulations and experiments are performed for an aluminum T-bar structure to validate the feasibility and precision of the proposed method.
    publisherASCE
    titleMultimode Guided Waves–Based Structural Defect Localization Longitudinally and Cross-Sectionally in T-Bars
    typeJournal Paper
    journal volume33
    journal issue4
    journal titleJournal of Aerospace Engineering
    identifier doi10.1061/(ASCE)AS.1943-5525.0001134
    page04020017
    treeJournal of Aerospace Engineering:;2020:;Volume ( 033 ):;issue: 004
    contenttypeFulltext
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