Abstract
This paper describes a resonance decay estimation for structural health monitoring in the presence of nonstationary vibrations. In structural health monitoring, the structure's frequency response and resonant decay characteristics are very important for understanding how the structure changes. Cumulative spectral analysis (CSA) estimates the frequency decay by using the impulse response. However, measuring the impulse response of buildings is impractical due to the need to shake the building itself. In a previous study, we reported on system damping monitoring using cumulative harmonic analysis (CHA), which is based on CSA. The current study describes scale model experiments on estimating the hidden resonance decay under non-stationary noise conditions by using CSA for structural condition monitoring.
Highlights
Structural health condition diagnostics are needed for ensuring the safety of buildings struck by earthquakes and old buildings
The cumulative spectral analysis (CSA) show that decay portions only reveal resonant decays
The results showed that the resonance frequency and decay were very similar to the impulse response’s CSAs
Summary
Structural health condition diagnostics are needed for ensuring the safety of buildings struck by earthquakes and old buildings. Takahashi et al proposed a health monitoring method that focuses on damping using cumulative harmonic analysis (CHA) to reveal the spectral peaks of hidden structural resonances in short signals [5]. In acoustic systems, spectral analysis with a stepwise time window can accurately detect resonance peaks under the unknown signals and possibly predict the hidden frequency change from the transient decaying portions of the histogram of the CHA peaks in a simple feedback system. When using a stepwise time window spectral analysis, we assume that acoustical techniques could be applied to structural analysis in order to reveal the resonance decay characteristics for structural diagnostics under nonstationary noise. We discuss a hidden resonance decay estimation for structural health monitoring that does not need the frequency characteristics of the external noise.
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