Raspberry Shake-Based Rapid Structural Identification of Existing Buildings Subject to Earthquake Ground Motion: The Case Study of Bucharest Article Swipe
Ali Güney Özcebe
,
Alexandru Țigănescu
,
Ekin Özer
,
Caterina Negulescu
,
Juan José Galiana-Merino
,
Enrico Tubaldi
,
Dragoş Toma-Danilă
,
Sergio Molina
,
Alireza Kharazian
,
Francesca Bozzoni
,
Barbara Borzi
,
Ştefan Florin Bălan
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/s22134787
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/s22134787
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.
Related Topics
Concepts
Shake
Earthquake shaking table
Modal
Crowdsourcing
Testbed
Structural health monitoring
Seismometer
Identification (biology)
Vibration
Engineering
Computer science
Strong ground motion
Seismology
Structural engineering
Ground motion
Civil engineering
Acoustics
Geology
Aerospace engineering
Chemistry
Mechanical engineering
Physics
Biology
Botany
Polymer chemistry
World Wide Web
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s22134787
- https://www.mdpi.com/1424-8220/22/13/4787/pdf?version=1656390919
- OA Status
- gold
- Cited By
- 16
- References
- 74
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4283583301
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4283583301Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/s22134787Digital Object Identifier
- Title
-
Raspberry Shake-Based Rapid Structural Identification of Existing Buildings Subject to Earthquake Ground Motion: The Case Study of BucharestWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-06-24Full publication date if available
- Authors
-
Ali Güney Özcebe, Alexandru Țigănescu, Ekin Özer, Caterina Negulescu, Juan José Galiana-Merino, Enrico Tubaldi, Dragoş Toma-Danilă, Sergio Molina, Alireza Kharazian, Francesca Bozzoni, Barbara Borzi, Ştefan Florin BălanList of authors in order
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https://doi.org/10.3390/s22134787Publisher landing page
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https://www.mdpi.com/1424-8220/22/13/4787/pdf?version=1656390919Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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-
https://www.mdpi.com/1424-8220/22/13/4787/pdf?version=1656390919Direct OA link when available
- Concepts
-
Shake, Earthquake shaking table, Modal, Crowdsourcing, Testbed, Structural health monitoring, Seismometer, Identification (biology), Vibration, Engineering, Computer science, Strong ground motion, Seismology, Structural engineering, Ground motion, Civil engineering, Acoustics, Geology, Aerospace engineering, Chemistry, Mechanical engineering, Physics, Biology, Botany, Polymer chemistry, World Wide WebTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
16Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 7, 2023: 4, 2022: 2Per-year citation counts (last 5 years)
- References (count)
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74Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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