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    Peri-Ultrasound Modeling to Investigate the Performance of Different Nonlinear Ultrasonic Techniques for Damage Monitoring in Plate Structures

    Source: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2024:;volume( 007 ):;issue: 003::page 31003-1
    Author:
    Zhang, Guangdong
    ,
    Li, Xiongbing
    ,
    Kundu, Tribikram
    DOI: 10.1115/1.4065386
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Peri-ultrasound modeling which is based on nonlocal peridynamics is found and proven to be effective for modeling nonlinear waves propagating and interacting with damages in structures. This work presents the peri-ultrasound modeling to investigate the performance of three commonly used nonlinear ultrasonic (NLU) techniques—wave mixing, higher harmonic generation (HHG), and sideband peak count-index (or SPC-I) for monitoring damages (or cracks) in three-dimensional (3D) plate structures. Cracks can be defined as “thin cracks” and “thick cracks” according to the horizon size mentioned in peridynamics. Peri-ultrasound modeling results reveal that the SPC-I results are consistent with other reported numerical modeling and experimental results available in the literature. However, the modulation indicator (MI) from the wave mixing model only shows consistent trends for thin cracks but not for thick cracks and its reliability is affected by the initial excitation bandwidth. The relative acoustic nonlinearity factor β from the HHG technique shows consistent trends for thick cracks but not for thin cracks. It can be concluded from the obtained parametric analysis results that the SPC-I technique is more robust and reliable for monitoring damages in engineering structures.
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      Peri-Ultrasound Modeling to Investigate the Performance of Different Nonlinear Ultrasonic Techniques for Damage Monitoring in Plate Structures

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    contributor authorZhang, Guangdong
    contributor authorLi, Xiongbing
    contributor authorKundu, Tribikram
    date accessioned2024-12-24T19:15:07Z
    date available2024-12-24T19:15:07Z
    date copyright5/17/2024 12:00:00 AM
    date issued2024
    identifier issn2572-3901
    identifier othernde_7_3_031003.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4303586
    description abstractPeri-ultrasound modeling which is based on nonlocal peridynamics is found and proven to be effective for modeling nonlinear waves propagating and interacting with damages in structures. This work presents the peri-ultrasound modeling to investigate the performance of three commonly used nonlinear ultrasonic (NLU) techniques—wave mixing, higher harmonic generation (HHG), and sideband peak count-index (or SPC-I) for monitoring damages (or cracks) in three-dimensional (3D) plate structures. Cracks can be defined as “thin cracks” and “thick cracks” according to the horizon size mentioned in peridynamics. Peri-ultrasound modeling results reveal that the SPC-I results are consistent with other reported numerical modeling and experimental results available in the literature. However, the modulation indicator (MI) from the wave mixing model only shows consistent trends for thin cracks but not for thick cracks and its reliability is affected by the initial excitation bandwidth. The relative acoustic nonlinearity factor β from the HHG technique shows consistent trends for thick cracks but not for thin cracks. It can be concluded from the obtained parametric analysis results that the SPC-I technique is more robust and reliable for monitoring damages in engineering structures.
    publisherThe American Society of Mechanical Engineers (ASME)
    titlePeri-Ultrasound Modeling to Investigate the Performance of Different Nonlinear Ultrasonic Techniques for Damage Monitoring in Plate Structures
    typeJournal Paper
    journal volume7
    journal issue3
    journal titleJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
    identifier doi10.1115/1.4065386
    journal fristpage31003-1
    journal lastpage31003-12
    page12
    treeJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2024:;volume( 007 ):;issue: 003
    contenttypeFulltext
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