Raspberry Shake-Based Rapid Structural Identification of Existing Buildings Subject to Earthquake Ground Motion: The Case Study of Bucharest
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Título: | Raspberry Shake-Based Rapid Structural Identification of Existing Buildings Subject to Earthquake Ground Motion: The Case Study of Bucharest |
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Autor/es: | Özcebe, Ali Güney | Tiganescu, Alexandru | Ozer, Ekin | Negulescu, Caterina | Galiana-Merino, Juan José | Tubaldi, Enrico | Toma-Danila, Dragos | Molina-Palacios, Sergio | Kharazian, Alireza | Bozzoni, Francesca | Borzi, Barbara | Balan, Stefan Florin |
Grupo/s de investigación o GITE: | Grupo de Ingeniería y Riesgo Sísmico (GIRS) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal | Universidad de Alicante. Departamento de Física Aplicada | Universidad de Alicante. Instituto Universitario de Física Aplicada a las Ciencias y las Tecnologías | Universidad de Alicante. Instituto Multidisciplinar para el Estudio del Medio "Ramón Margalef" |
Palabras clave: | Raspberry Shake 4D | Modal identification | Vibration-based structural health monitoring | Rapid response to earthquakes (RRE) | TURNkey project |
Fecha de publicación: | 24-jun-2022 |
Editor: | MDPI |
Cita bibliográfica: | Özcebe AG, Tiganescu A, Ozer E, Negulescu C, Galiana-Merino JJ, Tubaldi E, Toma-Danila D, Molina S, Kharazian A, Bozzoni F, Borzi B, Balan SF. Raspberry Shake-Based Rapid Structural Identification of Existing Buildings Subject to Earthquake Ground Motion: The Case Study of Bucharest. Sensors. 2022; 22(13):4787. https://doi.org/10.3390/s22134787 |
Resumen: | 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. |
Patrocinador/es: | This work is supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 821046, project TURNkey (Towards more Earthquake-resilient Urban Societies through a Multi-sensor-based Information System enabling Earthquake Forecasting, Early Warning and Rapid Response actions). |
URI: | http://hdl.handle.net/10045/125554 |
ISSN: | 1424-8220 |
DOI: | 10.3390/s22134787 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.3390/s22134787 |
Aparece en las colecciones: | INV - GIRS - Artículos de Revistas Investigaciones financiadas por la UE |
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