Title: Steel truss bridge damage assessment using kurtosis, FFT, spectrogram and Wigner-Ville distribution techniques

Authors: Anshul Sharma

Addresses: Civil Engineering Department, National Institute of Technology, Hamirpur, Himachal Pradesh, 177005, India

Abstract: The main goal of the study is to identify abnormally acting nodes in steel truss bridges by evaluating vibration signals recorded at 10 km/h, 20 km/h, and 30 km/h vehicle speeds. The analytical frequencies of the bridge are obtained using the structural analysis software. By using analytical frequencies as a baseline, any variation in experimental modal frequencies caused by the introduction of bridge damage is detected. Signal processing methods used to evaluate vibration signals include spectrograms, Wigner-Ville distribution in the time-frequency domain, fast Fourier transform in the frequency domain, and statistical characteristics in the time domain. The modal frequencies with their changing intensity are observed with higher resolution in the spectrogram, and Wigner-Ville distribution plots. The use of WVD on vibration signals makes it explicit how changing vehicle speeds affect the bridge's derived modal frequencies.

Keywords: steel truss bridge; damage detection; kurtosis; fast Fourier transform; FFT; spectrogram; Wigner-Ville distribution; WVD.

DOI: 10.1504/IJQET.2024.142217

International Journal of Quality Engineering and Technology, 2024 Vol.10 No.2, pp.166 - 176

Received: 26 Sep 2023
Accepted: 13 Apr 2024
Published online: 14 Oct 2024 *

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