A compressive MUSIC spectral approach for identification of closely-spaced structural natural frequencies and post-earthquake damage detection

TLDR: Results suggest that the adopted approach for identifying resonant frequencies of white-noise excited structures using acceleration measurements acquired at rates significantly below the Nyquist rate is robust and noise-immune while it can reduce data transmission requirements in acceleration wireless sensors for natural frequency identification and damage detection in engineering structures.

About: This article is published in Probabilistic Engineering Mechanics.The article was published on 2020-02-07 and is currently open access. It has received 15 citations till now. The article focuses on the topics: Sampling (signal processing) & Frequency domain.

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Table 3. Flexural rigidity reduction factor (EIeff/EIy) at critical member zones of the structure in Figure 5 for the two different damage states considered due to different seismic intensity excitation

Figure 7. Moment-curvature (M-φ) hysteretic curves at the left plastic hinge of the 1st storey beam for (a) damage state 1 and (b) damage state 2.

Figure 3. MUSIC pseudo-spectra of structure 1 in Fig.2(a) obtained for co-prime sampling specifications of

Figure 1. Simulation-based assessment framework for the proposed natural frequencies identification approach in OMA applications

Figure 8. Spectrum estimation from noisy acceleration response signals with SNR=10dB at the (a) first, (b) second, and (c) third floor of the structure in Fig. 5 (healthy state) subject to 80s duration white noise base excitation

Table 1. Co-prime sampling specifications