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Sensors 2018, 18(4), 1018; https://doi.org/10.3390/s18041018

Semi-Automated Air-Coupled Impact-Echo Method for Large-Scale Parkade Structure

Department of Civil Engineering, University of Manitoba, Winnipeg, MB R3T 2N2, Canada
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Received: 26 February 2018 / Revised: 23 March 2018 / Accepted: 27 March 2018 / Published: 29 March 2018
(This article belongs to the Section Physical Sensors)
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Abstract

Structural Health Monitoring (SHM) has moved to data-dense systems, utilizing numerous sensor types to monitor infrastructure, such as bridges and dams, more regularly. One of the issues faced in this endeavour is the scale of the inspected structures and the time it takes to carry out testing. Installing automated systems that can provide measurements in a timely manner is one way of overcoming these obstacles. This study proposes an Artificial Neural Network (ANN) application that determines intact and damaged locations from a small training sample of impact-echo data, using air-coupled microphones from a reinforced concrete beam in lab conditions and data collected from a field experiment in a parking garage. The impact-echo testing in the field is carried out in a semi-autonomous manner to expedite the front end of the in situ damage detection testing. The use of an ANN removes the need for a user-defined cutoff value for the classification of intact and damaged locations when a least-square distance approach is used. It is postulated that this may contribute significantly to testing time reduction when monitoring large-scale civil Reinforced Concrete (RC) structures. View Full-Text
Keywords: impact-echo; machine learning; artificial neural network; wavelet transformation; energy impact factor; reinforced concrete; damage detection impact-echo; machine learning; artificial neural network; wavelet transformation; energy impact factor; reinforced concrete; damage detection
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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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Epp, T.; Svecova, D.; Cha, Y.-J. Semi-Automated Air-Coupled Impact-Echo Method for Large-Scale Parkade Structure. Sensors 2018, 18, 1018.

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