A digital analysis of the experimental accelerometers data used for buildings dynamical identification

A digital analysis of accelerometer data has provided new insights into the structural dynamics of historical buildings, specifically the Renaissance-style 'San Giacomo' structure in Corfu's Old Town. The study employed advanced signal processing techniques to analyze data collected from strategically placed accelerometers on the building's walls, aiming to identify its dynamic behavior. This approach offers a non-invasive method for monitoring the integrity and response of artistic and historical structures to environmental factors, which is crucial for their preservation. By examining a database of signals acquired through these sensors, researchers have demonstrated the potential of digital signal processing in structural health monitoring, contributing valuable data for the conservation efforts of UNESCO World Heritage Sites like Corfu's Old Town.

Giannoccaro, N. I., Spedicato, L., & Foti, D. (2016). A digital analysis of the experimental accelerometers data used for buildings dynamical identification. 2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS), 1–6. https://doi.org/10.1109/eesms.2016.7504829