Defect Imaging Using Time Reversal Guided Waves in Pipes

Article Preview

Abstract:

In order to realize defect imaging for guided waves inspection in a pipe, a time reversal method based on baseline subtraction method was introduced. In this method, baseline signals were prepared by detection on undamaged pipe. After that residual signals were obtained by executing subtraction between inspection signals and baseline signals. At last, without using the rectangular window for signal interception, time reversals signals are produced by time reversing the whole residual signals. Experiment and numerical simulation results show that this method simplifies the existing time reversal defect imaging method for guided wave inspection in pipes. Especially, a relatively whole defect’s passive wave field captured by this method will help us to achieve better imaging effect.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

283-286

Citation:

Online since:

June 2012

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Rose JL. Ultrasonic Waves in Solid Media. Cambridge University Press, Cambridge, United Kingdom. (1999).

Google Scholar

[2] Alleyne DN, B Pavlakovic, MJS Lowe and P Cawley. Rapid Long-Range Inspection of Chemical Plant Pipework Using Guided Waves. Insight: Non-Destructive Testing and Condition Monitoring, 2001, 43(2): 93-96.

DOI: 10.4028/www.scientific.net/kem.270-273.434

Google Scholar

[3] Deng Fei, He Cunfu, Wu Bin. Time Reversal Method for Pipe Inspection with Guided Waves. Review of Progress in Quantitative Nondestructive Evaluation, 2007, 27:113~118.

Google Scholar

[4] Deng Fei, Wu Bin, He Cunfu. A Time Reversal Defect-Identifying Method for Guided Wave Inspection in Pipes. Journal of Pressure Vessels and Piping, 2008, 130(2):021503-1~021503-8.

DOI: 10.1115/1.2892029

Google Scholar

[5] Wilcox, B. W. Drinkwater, and G. Konstantinidis. Strategies for Guided-wave Structural Health Monitoring. Proc. Royal Society A, 2007, 463: 2961-2981.

DOI: 10.1098/rspa.2007.0048

Google Scholar

[6] Tindaro Cicero. Signal Processing for Guided Wave Structural Health Monitoring. Thesis, Imperial College London, London. (2009).

Google Scholar