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Home  >  Journal list  >  MATERIALS TRANSACTIONS  >  Vol.53  No.4 (2012)  >  pp.621-626

MATERIALS TRANSACTIONS
<<Previous article Vol.53  No.4 (2012)   pp.621 - 626 Next article>>

Ultrasonic Imaging of Concrete by Synthetic Aperture Focusing Technique Based on Hilbert-Huang Transform of Time Domain Data

Oscar Victor M. Antonio, Jr.1)2) and Sohichi Hirose2)
1) Institute of Civil Engineering, University of the Philippines
2) Department of Mechanical and Environmental Informatics, Graduate School of Information Science and Engineering, Tokyo Institute of Technology


For non-destructive evaluation (NDE) of concrete, efficient and accurate imaging techniques are needed for a reliable evaluation of safety and serviceability of structures. Imaging of concrete structures is considered a very challenging task since it is a non-homogeneous material. In this paper, the acoustic (stress wave) technique was applied by using Ultrasonics and Synthetic Aperture Focusing Technique (SAFT).
In ultrasonic NDE, the presence of coarse aggregates requires that the ultrasonic testing be conducted at relatively low frequencies in order to avoid excessive attenuation. The Hilbert-Huang Transform (HHT), based on Ensemble Empirical Mode Decomposition (EEMD), was used as a signal processing tool for interpreting and analyzing the ultrasonic waveforms taken from a concrete specimen with an embedded steel rod. SAFT images for both processed and unprocessed signals were obtained and compared. Results showed that the reflections from the bottom surface as well as the steel rod were successfully imaged when the processed signal were used. Therefore, anomaly or defect detection in concrete structures through ultrasonic imaging was greatly improved by the combination of HHT and SAFT.


Keyword:
ultrasonic imaging, signal processing, non-homogeneous material, sifting, backpropagation, Hilbert-Huang transform

Received: November 12, 2009
Accepted: March 11, 2011 , Published online: March 25, 2012
Copyright (c) 2012 The Japanese Society for Non-Destructive Inspection

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