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Citizen Sensors for SHM: Use of Accelerometer Data from Smartphones
Ubiquitous smartphones have created a significant opportunity to form a low-cost wireless Citizen Sensor network and produce big data for monitoring structural integrity and safety under operational and extreme loads. Such data are particularly useful for rapid assessment of structural damage in a l...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4367344/ https://www.ncbi.nlm.nih.gov/pubmed/25643056 http://dx.doi.org/10.3390/s150202980 |
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author | Feng, Maria Fukuda, Yoshio Mizuta, Masato Ozer, Ekin |
author_facet | Feng, Maria Fukuda, Yoshio Mizuta, Masato Ozer, Ekin |
author_sort | Feng, Maria |
collection | PubMed |
description | Ubiquitous smartphones have created a significant opportunity to form a low-cost wireless Citizen Sensor network and produce big data for monitoring structural integrity and safety under operational and extreme loads. Such data are particularly useful for rapid assessment of structural damage in a large urban setting after a major event such as an earthquake. This study explores the utilization of smartphone accelerometers for measuring structural vibration, from which structural health and post-event damage can be diagnosed. Widely available smartphones are tested under sinusoidal wave excitations with frequencies in the range relevant to civil engineering structures. Large-scale seismic shaking table tests, observing input ground motion and response of a structural model, are carried out to evaluate the accuracy of smartphone accelerometers under operational, white-noise and earthquake excitations of different intensity. Finally, the smartphone accelerometers are tested on a dynamically loaded bridge. The extensive experiments show satisfactory agreements between the reference and smartphone sensor measurements in both time and frequency domains, demonstrating the capability of the smartphone sensors to measure structural responses ranging from low-amplitude ambient vibration to high-amplitude seismic response. Encouraged by the results of this study, the authors are developing a citizen-engaging and data-analytics crowdsourcing platform towards a smartphone-based Citizen Sensor network for structural health monitoring and post-event damage assessment applications. |
format | Online Article Text |
id | pubmed-4367344 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-43673442015-04-30 Citizen Sensors for SHM: Use of Accelerometer Data from Smartphones Feng, Maria Fukuda, Yoshio Mizuta, Masato Ozer, Ekin Sensors (Basel) Article Ubiquitous smartphones have created a significant opportunity to form a low-cost wireless Citizen Sensor network and produce big data for monitoring structural integrity and safety under operational and extreme loads. Such data are particularly useful for rapid assessment of structural damage in a large urban setting after a major event such as an earthquake. This study explores the utilization of smartphone accelerometers for measuring structural vibration, from which structural health and post-event damage can be diagnosed. Widely available smartphones are tested under sinusoidal wave excitations with frequencies in the range relevant to civil engineering structures. Large-scale seismic shaking table tests, observing input ground motion and response of a structural model, are carried out to evaluate the accuracy of smartphone accelerometers under operational, white-noise and earthquake excitations of different intensity. Finally, the smartphone accelerometers are tested on a dynamically loaded bridge. The extensive experiments show satisfactory agreements between the reference and smartphone sensor measurements in both time and frequency domains, demonstrating the capability of the smartphone sensors to measure structural responses ranging from low-amplitude ambient vibration to high-amplitude seismic response. Encouraged by the results of this study, the authors are developing a citizen-engaging and data-analytics crowdsourcing platform towards a smartphone-based Citizen Sensor network for structural health monitoring and post-event damage assessment applications. MDPI 2015-01-29 /pmc/articles/PMC4367344/ /pubmed/25643056 http://dx.doi.org/10.3390/s150202980 Text en © 2015 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 license ( (http://creativecommons.org/licenses/by/4.0/) http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Feng, Maria Fukuda, Yoshio Mizuta, Masato Ozer, Ekin Citizen Sensors for SHM: Use of Accelerometer Data from Smartphones |
title | Citizen Sensors for SHM: Use of Accelerometer Data from Smartphones |
title_full | Citizen Sensors for SHM: Use of Accelerometer Data from Smartphones |
title_fullStr | Citizen Sensors for SHM: Use of Accelerometer Data from Smartphones |
title_full_unstemmed | Citizen Sensors for SHM: Use of Accelerometer Data from Smartphones |
title_short | Citizen Sensors for SHM: Use of Accelerometer Data from Smartphones |
title_sort | citizen sensors for shm: use of accelerometer data from smartphones |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4367344/ https://www.ncbi.nlm.nih.gov/pubmed/25643056 http://dx.doi.org/10.3390/s150202980 |
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