The seismic events that struck central Italy in 2016 caused severe damage to a wide range of buildings and infrastructures. Masonry buildings were particularly affected, even for low values of peak ground acceleration. In this paper, the data recorded for three masonry buildings belonging to the Seismic Observatory of Structures (OSS) network are used to detect their seismic damage by means of Spectral Entropy (SE). However, entropy measures are sensitive to the energy inserted in the system, since an input of energy can lead to a more deterministic behavior of the structure and thus to a reduction of the entropy indicator. When non-stationary time series are used to evaluate the presence of damage (e.g. mild seismicity) the entropy of the ...
In this study, a new method based on topological entropy, the so‐called persistent entropy, is prese...
Seismic fragility models are important elements for risk prediction, loss-estimation and emergency p...
The authors wish to acknowledge IAGPDS and IGN for the availability of the seismic dataset. We are e...
The seismic events that struck central Italy in 2016 caused severe damage to a wide range of buildin...
One of the main drawbacks of using entropy-based indicators for damage detection is known to be thei...
Damage assessment techniques based on entropy measurements have been recently proposed for the struc...
Relative wavelet energy entropy (RWEE) is proposed to detect and quantify damage to hysteretic dampe...
According to recent works, entropy measures, and more specifically, spectral entropies, are emerging...
Recently, Instantaneous Spectral Entropy (ISE) measurements have been proposed for real-time damage ...
Acoustic emission (AE) and vibration signal are significant criteria of damage identificationin stru...
© 2017, © The Author(s) 2017. We present a time-series-based algorithm to identify structural damage...
Vibration-based methods for damage localizations often rely on a damage feature defined in terms of ...
In the present paper, a spectral based damage identification technique is addressed on historical ma...
Vibration responses of building structure closely related to the structural health status. In this p...
In this paper, a structural health monitoring (SHM) system based on multi-scale cross-sample entropy...
In this study, a new method based on topological entropy, the so‐called persistent entropy, is prese...
Seismic fragility models are important elements for risk prediction, loss-estimation and emergency p...
The authors wish to acknowledge IAGPDS and IGN for the availability of the seismic dataset. We are e...
The seismic events that struck central Italy in 2016 caused severe damage to a wide range of buildin...
One of the main drawbacks of using entropy-based indicators for damage detection is known to be thei...
Damage assessment techniques based on entropy measurements have been recently proposed for the struc...
Relative wavelet energy entropy (RWEE) is proposed to detect and quantify damage to hysteretic dampe...
According to recent works, entropy measures, and more specifically, spectral entropies, are emerging...
Recently, Instantaneous Spectral Entropy (ISE) measurements have been proposed for real-time damage ...
Acoustic emission (AE) and vibration signal are significant criteria of damage identificationin stru...
© 2017, © The Author(s) 2017. We present a time-series-based algorithm to identify structural damage...
Vibration-based methods for damage localizations often rely on a damage feature defined in terms of ...
In the present paper, a spectral based damage identification technique is addressed on historical ma...
Vibration responses of building structure closely related to the structural health status. In this p...
In this paper, a structural health monitoring (SHM) system based on multi-scale cross-sample entropy...
In this study, a new method based on topological entropy, the so‐called persistent entropy, is prese...
Seismic fragility models are important elements for risk prediction, loss-estimation and emergency p...
The authors wish to acknowledge IAGPDS and IGN for the availability of the seismic dataset. We are e...