Conference proceeding
A helical-based ultrasonic imaging algorithm for structural health monitoring of cylindrical structures
HEALTH MONITORING OF STRUCTURAL AND BIOLOGICAL SYSTEMS XIII, v 10972, pp 1097205-1097205-7
01 Jan 2019
Abstract
Condition assessment of pipeline networks is critical to ensure operation safety considering that the network around the US is aging. This work aims at combining guided ultrasonic waves and advanced tomographic algorithms to locate corrosion-induced defects in both inner and outer surfaces of steel pipes. Particularly, it employs guided ultrasonic waves that propagate on helical paths around pipes. The novelty of this work is in using high orders of the so-called helical guided ultrasonic waves (HGUW), which can significantly increase the inspection area with a minimum number of sensors. Algebraic reconstruction technique (ART) is then implemented in order to gather information from the wave propagation through the pipe and asses possible locations where defects might exist. To validate the proposed imaging algorithm, numerical simulation and experiments were carried out. The final results suggest that the proposed imaging algorithm can be effectively used for continuous monitoring of corrosion damage in pipelines.
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Details
- Title
- A helical-based ultrasonic imaging algorithm for structural health monitoring of cylindrical structures
- Creators
- Stylianos Livadiotis - The University of Texas at AustinArvin Ebrahimkhanlou - The University of Texas at AustinSalvatore Salamone - The University of Texas at Austin
- Contributors
- P Fromme (Editor)Z Su (Editor)
- Publication Details
- HEALTH MONITORING OF STRUCTURAL AND BIOLOGICAL SYSTEMS XIII, v 10972, pp 1097205-1097205-7
- Series
- Proceedings of SPIE
- Publisher
- Spie-Int Soc Optical Engineering
- Number of pages
- 7
- Grant note
- 693JK31850004CAAP / United States Department of Transportation (USDOT), Pipeline and Hazardous Materials Safety Administration (PHMSA) UTA17-000966 / ExxonMobil; Exxon Mobil Corporation
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000484721700002
- Scopus ID
- 2-s2.0-85067111856
- Other Identifier
- 991021889906104721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Civil
- Engineering, Mechanical
- Materials Science, Multidisciplinary