Literature DB >> 28320659

Guided Wave Tomography of Pipe Bends.

Alex J Brath, Francesco Simonetti, Peter B Nagy, Geir Instanes.   

Abstract

Detection and monitoring of corrosion and erosion damage in pipe bends are open challenges due to the curvature of the elbow, the complex morphology of these defects, and their unpredictable location. Combining model-based inversion with guided ultrasonic waves propagating along the elbow and inside its walls offers the possibility of mapping wall-thickness losses over the entire bend and from a few permanently installed transducers under the realm of guided wave tomography (GWT). This paper provides the experimental demonstration of GWT of pipe bends based on a novel curved ray tomography algorithm and an optimal transducer configuration consisting of two ring arrays mounted at the ends of the elbow and a line of transducers fixed to the outer side of the elbow (extrados). Using realistic, localized corrosion defects, it is shown that detection of both the presence and progression of damage can be achieved with 100% sensitivity regardless of damage position around the bend. Importantly, this is possible for defects as shallow as 0.50% of wall thickness (WT) and for maximum depth increments of just 0.25% WT. However, due to the highly irregular profile of corrosion defects, GWT generally underestimates maximum depth relative to the values obtained from 3-D laser scans of the same defects, leading in many cases to errors between 3% WT and 8% WT.

Entities:  

Year:  2017        PMID: 28320659     DOI: 10.1109/TUFFC.2017.2683259

Source DB:  PubMed          Journal:  IEEE Trans Ultrason Ferroelectr Freq Control        ISSN: 0885-3010            Impact factor:   2.725


  2 in total

1.  Elbow Damage Identification Technique Based on Sparse Inversion Image Reconstruction.

Authors:  Yu Wang; Xueyi Li
Journal:  Materials (Basel)       Date:  2020-04-10       Impact factor: 3.623

2.  Acoustic Forward Model for Guided Wave Propagation and Scattering in a Pipe Bend.

Authors:  Carlos-Omar Rasgado-Moreno; Marek Rist; Raul Land; Madis Ratassepp
Journal:  Sensors (Basel)       Date:  2022-01-09       Impact factor: 3.576

  2 in total

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