Abbas, Muntazir, Shafiee, Mahmood (2018) Structural Health Monitoring (SHM) and Determination of Surface Defects in Large Metallic Structures using Ultrasonic Guided Waves. Sensors, 18 (11). pp. 1-26. ISSN 1424-8220. (doi:10.3390/s18113958) (KAR id:79739)
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Language: English
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Official URL: https://doi.org/10.3390/s18113958 |
Abstract
Ultrasonic guided wave (UGW) is one of the most commonly used technologies for non-destructive evaluation (NDE) and structural health monitoring (SHM) of structural components. Because of its excellent long-range diagnostic capability, this method is effective in detecting cracks, material loss, and fatigue-based defects in isotropic and anisotropic structures. The shape and orientation of structural defects are critical parameters during the investigation of crack propagation, assessment of damage severity, and prediction of remaining useful life (RUL) of structures. These parameters become even more important in cases where the crack intensity is associated with the safety of men, environment, and material, such as ship’s hull, aero-structures, rail tracks and subsea pipelines. This paper reviews the research literature on UGWs and their application in defect diagnosis and health monitoring of metallic structures. It has been observed that no significant research work has been convened to identify the shape and orientation of defects in plate-like structures. We also propose an experimental research work assisted by numerical simulations to investigate the response of UGWs upon interaction with cracks in different shapes and orientations. A framework for an empirical model may be considered to determine these structural flaws.
Item Type: | Article |
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DOI/Identification number: | 10.3390/s18113958 |
Uncontrolled keywords: | Structural health monitoring (SHM); Guided waves ultrasonic testing (GWUT); Metallic structures; Non-destructive evaluation (NDE); Ultrasonic guided wave (UGW); Remaining useful life (RUL) |
Subjects: |
T Technology > TA Engineering (General). Civil engineering (General) > TA165 Engineering instruments, meters etc. Industrial instrumentation T Technology > TJ Mechanical engineering and machinery |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Mahmood Shafiee |
Date Deposited: | 23 Jan 2020 19:13 UTC |
Last Modified: | 05 Nov 2024 12:44 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/79739 (The current URI for this page, for reference purposes) |
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