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Infrastructures 2018, 3(3), 29; https://doi.org/10.3390/infrastructures3030029

Surface Rust Detection Using Ultrasonic Waves in a Cylindrical Geometry by Finite Element Simulation

1
Department of Civil and Environmental Engineering, One University Avenue, Lowell, MA 01854, USA
2
Department of Electric and Computer Engineering, One University Avenue, Lowell, MA 01854, USA
*
Author to whom correspondence should be addressed.
Received: 9 July 2018 / Revised: 27 July 2018 / Accepted: 1 August 2018 / Published: 2 August 2018
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Abstract

Detection of early-stage corrosion on slender steel members is crucial for preventing buckling failures of steel structures. An active photoacoustic fiber optic sensor (FOS) system is reported herein for the early-stage steel corrosion detection of steel plates and rebars using surface ultrasonic waves. The objective of this study is to investigate a potential method for detecting surface corrosion/rust of steel rods using numerically simulated surface ultrasonic waves. The finite element method (FEM) was applied in the simulation of propagating ultrasonic waves on steel rod models. The pitch-catch mode of damage detection was adopted, in which one source (transmitter) and one sensor (receiver) were considered. In this research, radial displacements at the receiver were simulated and analyzed by short-time Fourier transform (STFT) for detecting, locating, and quantifying surface rust located between the transmitter and the receiver. From our time domain and frequency domain analyses, it was found that the presence, location, and dimensions (length, width, and depth) of surface rust can be estimated by ultrasonic wave propagation. View Full-Text
Keywords: finite element method (FEM); damage detection; surface rust; ultrasonic testing; short-time Fourier transform finite element method (FEM); damage detection; surface rust; ultrasonic testing; short-time Fourier transform
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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MDPI and ACS Style

Tang, Q.; Du, C.; Hu, J.; Wang, X.; Yu, T. Surface Rust Detection Using Ultrasonic Waves in a Cylindrical Geometry by Finite Element Simulation. Infrastructures 2018, 3, 29.

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