| Title |
Corrosion-based defect detection and classification in pipe wall using multiple high order ultrasonic guided wave modes / |
| Authors |
Cirtautas, Donatas ; Samaitis, Vykintas ; Mažeika, Liudas |
| Full Text |
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| Is Part of |
e-Journal of nondestructive testing: 13th European conference on non-destructive testing (ECNDT 2023), 3-7 July 2023, Lisbon, Portugal.. Mayen : NDT.net. 2023, vol. 28, spec. iss. 8, p. 1.. ISSN 1435-4934 |
| Abstract [eng] |
Metal loss due to corrosion can lead to dangerous accidents in pipeline systems. To avoid any leakage of toxic materials into environment from pipeline network structures, reliable non-destructive evaluation techniques to detect early stage of potentially dangerous defects are required. In general, classic NDT methods enables to detect almost all types of dangerous defects however they are time and cost consuming as requires large areas to be scanned. On the other hand, long range ultrasonic methods enable fast screening of large areas of the pipe by assessing corrosion level, however they tend to fail detecting concentrated small defects. Hence intermediate methods are required which are fast and sensitive to small, concentrated defects such as pitting. Recently, novel inspection techniques used higher order guided wave modes that are more sensitive to concentrated corrosion defects, but they still have limited inspection coverage and varying sensitivity to defects of different type. The objective of this work was to investigate higher order modes for different defect types and to propose new medium range corrosion screening approach in circumference of the pipe based on selective generation of high order guided wave modes. The selection of wave modes suitable for detection of various corrosion type defects is discussed with support of in-plane and out-of-plane distributions, leakage losses due to liquid load and dispersion curves. The analysis led to highest potential of combination of S3 and A1 wave modes for various type defect detection. Selective excitation of desired modes was demonstrated through finite element simulations and confirmed with experiments, showing the ability to generate modes of interest while supressing the co-existing waves. Interaction between the selected wave modes and corrosion type defects was investigated both by finite element simulations and experiments. It was found that selected wave modes are sensitive to various types of corrosion defects like pitting, localised, distributed corrosion and ensures sufficient propagation distance. It was demonstrated that such new inspection technique unravels high potential for machine learning and/or artificial intelligence assistance for defect detection and classification according to the type of defect. |
| Published |
Mayen : NDT.net |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2023 |
| CC license |
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