Journal article
An algebraic reconstruction imaging approach for corrosion damage monitoring of pipelines
Smart materials and structures, v 28(5), p55036
01 May 2019
Abstract
In this paper, an algebraic reconstruction technique is presented for corrosion damage monitoring in steel pipes by using helical guided ultrasonic waves. To validate the proposed approach, numerical simulations as well as experimental tests were carried out. For the numerical simulations, a finite element model was created using ABAQUS software to simulate wave propagation in a steel pipe. The model simulates corrosion damage by reducing the thickness of the pipe in a selected location. Experimental tests were conducted on a steel pipe instrumented with a network of six low-profile piezoelectric transducers. Reconstructed images from both the numerical simulations and experimental tests accurately localized the simulated damages. These results suggest that the proposed imaging algorithm has the potential to be effectively used for continuous monitoring of pipelines.
Metrics
Details
- Title
- An algebraic reconstruction imaging approach for corrosion damage monitoring of pipelines
- Creators
- Stylianos Livadiotis - The University of Texas at AustinArvin Ebrahimkhanlou - The University of Texas at AustinSalvatore Salamone - The University of Texas at Austin
- Publication Details
- Smart materials and structures, v 28(5), p55036
- Publisher
- IOP Publishing
- Number of pages
- 13
- Grant note
- UTA17-000966 / ExxonMobil Research and Engineering Company (https://doi.org/10.13039/100006584) 693JK31850004CAAP / the United States Department of Transportation (USDOT), Pipeline and Hazardous Materials Safety Administration (PHMSA)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000465897100004
- Scopus ID
- 2-s2.0-85067123464
- Other Identifier
- 991021890004804721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Instruments & Instrumentation
- Materials Science, Multidisciplinary