Technical Papers
Jun 5, 2024

Quantification of Corrosion-Like Defects in Pipelines Using Multifrequency Identification of Nondispersive Torsional Guided Waves

Publication: Journal of Engineering Mechanics
Volume 150, Issue 8

Abstract

Pipeline guided wave inspection is an efficient tool for determining the defect location. However, quantifying the defect size remains a challenging task. This paper proposes a quantification method for corrosion-like defects in pipelines based on the multifrequency identification of nondispersive torsional guided waves. First, a theoretical scattering model describing the T(0,1) wave’s interaction with a simplified corrosion-like defect is introduced. Subsequently, a multifrequency identification method is proposed, enabling the inverse quantification of defect parameters by a defined spectral defect index (SDI). To implement this approach, a pseudo pulse-echo configuration is devised, which contains two rings of piezoelectric transducers attached on the pipeline’s outer surface. Finite-element (FE) models are employed to test the performance of the proposed method for both axisymmetric and nonaxisymmetric defects, and an analysis of the robustness of the method is also conducted. The results show that this method has good accuracy even for signals with a very low signal-to-noise (SNR) ratio. Furthermore, an FE model is developed to validate the feasibility of this method for long-distance detection considering attenuation effect. Finally, experimental validation of the proposed method demonstrates close agreement between predicted and actual defect sizes, showing its potential for practical applications.

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Data Availability Statement

The data sets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.

Acknowledgments

We gratefully acknowledge the support from Major Project of Fundamental Research on Frontier Leading Technology of Jiangsu Province (Grant No. BK20222006), the Jiangsu Province International Cooperation Project (BZ2022037), the Tencent Foundation through the XPLORER program, and the program of China Scholarships Council (202106090258).

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Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 150Issue 8August 2024

History

Received: Sep 27, 2023
Accepted: Feb 8, 2024
Published online: Jun 5, 2024
Published in print: Aug 1, 2024
Discussion open until: Nov 5, 2024

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Ph.D. Candidate, China-Pakistan Belt and Road Joint Laboratory on Smart Disaster Prevention of Major Infrastructures, Southeast Univ., Nanjing 211189, China. Email: [email protected]
Professor, China-Pakistan Belt and Road Joint Laboratory on Smart Disaster Prevention of Major Infrastructures, Southeast Univ., Nanjing 211189, China (corresponding author). ORCID: https://orcid.org/0000-0003-0544-8253. Email: [email protected]
Ph.D. Candidate, China-Pakistan Belt and Road Joint Laboratory on Smart Disaster Prevention of Major Infrastructures, Southeast Univ., Nanjing 211189, China. Email: [email protected]
Lecturer, School of Civil Engineering and Communication, North China Univ. of Water Resources and Electric Power, Zhengzhou 450045, China. Email: [email protected]
Changqing Miao [email protected]
Professor, China-Pakistan Belt and Road Joint Laboratory on Smart Disaster Prevention of Major Infrastructures, Southeast Univ., Nanjing 211189, China. Email: [email protected]
Professor, Institute for Infrastructure and Environment, School of Engineering, Univ. of Edinburgh, Edinburgh EH9 3 JL, UK. ORCID: https://orcid.org/0000-0002-2142-1299. Email: [email protected]

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