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Damage Detection in CFST Column by Simulation of Ultrasonic Waves Using STFT-Based Spectrogram and Welch Power Spectral Density Estimate

Nadom K. Mutlib1,*, Muna N. Ismael1, Shahrizan Baharom2

1 Anbar Technical Institute, Middle Technical University, Baghdad, 10013, Iraq
2 Department of Civil and Structural Engineering, National University of Malaysia, Selangor, 43600, Malaysia

* Corresponding Author: Nadom K. Mutlib. Email: email

Structural Durability & Health Monitoring 2021, 15(3), 227-246. https://doi.org/10.32604/sdhm.2021.010725

Abstract

Structural health monitoring employs different tools and techniques to provide a prediction for damages that occur in various structures. Damages such as debond and cracks in concrete-filled steel tube column (CFST) are serious defects that threaten the integrity of the structural members. Ultrasonic waves monitoring applied to the CFST column is necessary to detect damages and quantify their size. However, without appropriate signal processing tools, the results of the monitoring process could not be crucial. In this research, a monitoring process based on a Multiphysics numerical simulation study was carried out. Two signal processing tools: short time Fourier transform (STFT) and Welch Power Spectral Density Estimate (PSD) were used to analyse the captured raw signals. The STFT spectrogram was effective in identifying the different size of damage based on a graphical interpretation. The results show that the increasing of frequency of the excited signal give a better results. The increase in peak magnitude values in Welch PSD was found to be proportionate to the change in damage length whereas the damage depth has a less effect. The results for the crack size identification were less promising than those of debond damage because of the different type of the signal’s propagation path. Simulation process conducted by COMSOL software has proved the validity of the adopted signal processing techniques in detecting such damages in CFST columns.

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APA Style
Mutlib, N.K., Ismael, M.N., Baharom, S. (2021). Damage detection in CFST column by simulation of ultrasonic waves using stft-based spectrogram and welch power spectral density estimate. Structural Durability & Health Monitoring, 15(3), 227-246. https://doi.org/10.32604/sdhm.2021.010725
Vancouver Style
Mutlib NK, Ismael MN, Baharom S. Damage detection in CFST column by simulation of ultrasonic waves using stft-based spectrogram and welch power spectral density estimate. Structural Durability Health Monit . 2021;15(3):227-246 https://doi.org/10.32604/sdhm.2021.010725
IEEE Style
N.K. Mutlib, M.N. Ismael, and S. Baharom "Damage Detection in CFST Column by Simulation of Ultrasonic Waves Using STFT-Based Spectrogram and Welch Power Spectral Density Estimate," Structural Durability Health Monit. , vol. 15, no. 3, pp. 227-246. 2021. https://doi.org/10.32604/sdhm.2021.010725



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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