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Toward Structural Health Monitoring with the MyShake Smartphone Network
The field of structural health monitoring (SHM) faces a fundamental challenge related to accessibility. While analytical and empirical models and laboratory tests can provide engineers with an estimate of a structure’s expected behavior under various loads, measurements of actual buildings require t...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650570/ https://www.ncbi.nlm.nih.gov/pubmed/37960368 http://dx.doi.org/10.3390/s23218668 |
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author | Patel, Sarina C. Günay, Selim Marcou, Savvas Gou, Yuancong Kumar, Utpal Allen, Richard M. |
author_facet | Patel, Sarina C. Günay, Selim Marcou, Savvas Gou, Yuancong Kumar, Utpal Allen, Richard M. |
author_sort | Patel, Sarina C. |
collection | PubMed |
description | The field of structural health monitoring (SHM) faces a fundamental challenge related to accessibility. While analytical and empirical models and laboratory tests can provide engineers with an estimate of a structure’s expected behavior under various loads, measurements of actual buildings require the installation and maintenance of sensors to collect observations. This is costly in terms of power and resources. MyShake, the free seismology smartphone app, aims to advance SHM by leveraging the presence of accelerometers in all smartphones and the wide usage of smartphones globally. MyShake records acceleration waveforms during earthquakes. Because phones are most typically located in buildings, a waveform recorded by MyShake contains response information from the structure in which the phone is located. This represents a free, potentially ubiquitous method of conducting critical structural measurements. In this work, we present preliminary findings that demonstrate the efficacy of smartphones for extracting the fundamental frequency of buildings, benchmarked against traditional accelerometers in a shake table test. Additionally, we present seven proof-of-concept examples of data collected by anonymous and privately owned smartphones running the MyShake app in real buildings, and assess the fundamental frequencies we measure. In all cases, the measured fundamental frequency is found to be reasonable and within an expected range in comparison with several commonly used empirical equations. For one irregularly shaped building, three separate measurements made over the course of four months fall within 7% of each other, validating the accuracy of MyShake measurements and illustrating how repeat observations can improve the robustness of the structural health catalog we aim to build. |
format | Online Article Text |
id | pubmed-10650570 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106505702023-10-24 Toward Structural Health Monitoring with the MyShake Smartphone Network Patel, Sarina C. Günay, Selim Marcou, Savvas Gou, Yuancong Kumar, Utpal Allen, Richard M. Sensors (Basel) Article The field of structural health monitoring (SHM) faces a fundamental challenge related to accessibility. While analytical and empirical models and laboratory tests can provide engineers with an estimate of a structure’s expected behavior under various loads, measurements of actual buildings require the installation and maintenance of sensors to collect observations. This is costly in terms of power and resources. MyShake, the free seismology smartphone app, aims to advance SHM by leveraging the presence of accelerometers in all smartphones and the wide usage of smartphones globally. MyShake records acceleration waveforms during earthquakes. Because phones are most typically located in buildings, a waveform recorded by MyShake contains response information from the structure in which the phone is located. This represents a free, potentially ubiquitous method of conducting critical structural measurements. In this work, we present preliminary findings that demonstrate the efficacy of smartphones for extracting the fundamental frequency of buildings, benchmarked against traditional accelerometers in a shake table test. Additionally, we present seven proof-of-concept examples of data collected by anonymous and privately owned smartphones running the MyShake app in real buildings, and assess the fundamental frequencies we measure. In all cases, the measured fundamental frequency is found to be reasonable and within an expected range in comparison with several commonly used empirical equations. For one irregularly shaped building, three separate measurements made over the course of four months fall within 7% of each other, validating the accuracy of MyShake measurements and illustrating how repeat observations can improve the robustness of the structural health catalog we aim to build. MDPI 2023-10-24 /pmc/articles/PMC10650570/ /pubmed/37960368 http://dx.doi.org/10.3390/s23218668 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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/). |
spellingShingle | Article Patel, Sarina C. Günay, Selim Marcou, Savvas Gou, Yuancong Kumar, Utpal Allen, Richard M. Toward Structural Health Monitoring with the MyShake Smartphone Network |
title | Toward Structural Health Monitoring with the MyShake Smartphone Network |
title_full | Toward Structural Health Monitoring with the MyShake Smartphone Network |
title_fullStr | Toward Structural Health Monitoring with the MyShake Smartphone Network |
title_full_unstemmed | Toward Structural Health Monitoring with the MyShake Smartphone Network |
title_short | Toward Structural Health Monitoring with the MyShake Smartphone Network |
title_sort | toward structural health monitoring with the myshake smartphone network |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650570/ https://www.ncbi.nlm.nih.gov/pubmed/37960368 http://dx.doi.org/10.3390/s23218668 |
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