Journal article
Acoustic emission monitoring of corrosion in steel pipes using Lamb-type helical waves
Structural health monitoring, v 22(2), pp 1225-1236
Mar 2023
Abstract
This paper is concerned with the monitoring of corrosion in steel pipelines using the acoustic emission (AE) technique. Large uniform corrosion in pipes causes significant wall-thickness loss, and the intensity of the AE activity is correlated with the severity of the corrosion. A new approach for considering the helical propagation of corrosion-related AE events is proposed. Specifically, it is suggested that a longer portion of conventional AE hit is considered to account for multiple arrivals of Lamb-type modes traveling helically in the circumference of the pipe known as helical guided waves (HGW). Using the recorded amplitude of these events, a qualitative corrosion monitoring approach is proposed using the b-value analysis. An accelerated corrosion test on a steel pipe instrumented with a network of AE sensors is carried out to validate the proposed approach. Moreover, a numerical study is performed to evaluate the energy variation of HGW during the corrosion process. Both experimental and numerical results suggest that helical Lamb-type AE has the potential to be utilized for corrosion monitoring.
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Details
- Title
- Acoustic emission monitoring of corrosion in steel pipes using Lamb-type helical waves
- Creators
- Stylianos Livadiotis - The University of Texas at AustinKonstantinos Sitaropoulos - The University of Texas at AustinArvin Ebrahimkhanlou - New Mexico Institute of Mining and TechnologySalvatore Salamone - The University of Texas at Austin
- Publication Details
- Structural health monitoring, v 22(2), pp 1225-1236
- Publisher
- SAGE Publications
- Grant note
- #693JK31850004CAAP / Pipeline and Hazardous Materials Safety Administration (https://doi.org/10.13039/100006284)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000812220900001
- Scopus ID
- 2-s2.0-85132027063
- Other Identifier
- 991021889912004721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Engineering, Multidisciplinary
- Instruments & Instrumentation