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dc.contributor.authorZhang, Guangdong
dc.contributor.authorLi, Xiongbing
dc.contributor.authorKundu, Tribikram
dc.date.accessioned2024-12-24T19:15:07Z
dc.date.available2024-12-24T19:15:07Z
dc.date.copyright5/17/2024 12:00:00 AM
dc.date.issued2024
dc.identifier.issn2572-3901
dc.identifier.othernde_7_3_031003.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4303586
dc.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.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titlePeri-Ultrasound Modeling to Investigate the Performance of Different Nonlinear Ultrasonic Techniques for Damage Monitoring in Plate Structures
dc.typeJournal Paper
dc.journal.volume7
dc.journal.issue3
dc.journal.titleJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
dc.identifier.doi10.1115/1.4065386
dc.journal.fristpage31003-1
dc.journal.lastpage31003-12
dc.page12
dc.treeJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2024:;volume( 007 ):;issue: 003
dc.contenttypeFulltext


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