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Proceedings 2018, 2(8), 432; https://doi.org/10.3390/ICEM18-05288

Use of Spectral Entropy for Damage Detection in Masonry Buildings in the Presence of Mild Seismicity

1
Department of Structural, Geotechnical and Building Engineering, Politecnico di Torino, 10129 Turin, Italy
2
Department of Architecture and Design, Politecnico di Torino, 10125 Turin, Italy
Presented at the 18th International Conference on Experimental Mechanics (ICEM18), Brussels, Belgium, 1–5 July 2018.
*
Author to whom correspondence should be addressed.
Published: 4 June 2018
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Abstract

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 system could be underestimated, leading to misleading results. For these reasons, in this paper an indicator based on SE is proposed to assess the occurrence of damage also in the presence of mild seismicity.
Keywords: structural health monitoring; spectral entropy; damage detection; masonry building structural health monitoring; spectral entropy; damage detection; masonry building
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Ceravolo, R.; Lenticchia, E.; Miraglia, G. Use of Spectral Entropy for Damage Detection in Masonry Buildings in the Presence of Mild Seismicity. Proceedings 2018, 2, 432.

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