TY  - JOUR
PY  - 2022//
TI  - Raspberry Shake-based rapid structural identification of existing buildings subject to earthquake ground motion: the case study of Bucharest
JO  - Sensors (Basel)
A1  - Özcebe, Ali Güney
A1  - Tiganescu, Alexandru
A1  - Ozer, Ekin
A1  - Negulescu, Caterina
A1  - Galiana-Merino, Juan Jose
A1  - Tubaldi, Enrico
A1  - Toma-Danila, Dragoş
A1  - Molina, Sergio
A1  - Kharazian, Alireza
A1  - Bozzoni, Francesca
A1  - Borzi, Barbara
A1  - Balan, Stefan Florin
SP  - e4787
EP  - e4787
VL  - 22
IS  - 13
N2  - The Internet of things concept empowered by low-cost sensor technologies and headless computers has upscaled the applicability of vibration monitoring systems in recent years. Raspberry Shake devices are among those systems, constituting a crowdsourcing framework and forming a worldwide seismic network of over a thousand nodes. While Raspberry Shake devices have been proven to densify seismograph arrays efficiently, their potential for structural health monitoring (SHM) is still unknown and is open to discovery. This paper presents recent findings from existing buildings located in Bucharest (Romania) equipped with Raspberry Shake 4D (RS4D) devices, whose signal recorded under multiple seismic events has been analyzed using different modal identification algorithms. The obtained results show that RS4D modules can capture the building vibration behavior despite the short-duration and low-amplitude excitation sources. Based on 15 RS4D device readings from five different multistorey buildings, the results do not indicate damage in terms of modal frequency decay. The findings of this research propose a baseline for future seismic events that can track the changes in vibration characteristics as a consequence of future strong earthquakes. In summary, this research presents multi-device, multi-testbed, and multi-algorithm evidence on the feasibility of RS4D modules as SHM instruments, which are yet to be explored in earthquake engineering.<p />  <p>Language: en</p>
LA  - en
SN  - 1424-8220
UR  - http://dx.doi.org/10.3390/s22134787
ID  - ref1
ER  -