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Non-Contact Smartphone-Based Monitoring of Thermally Stressed Structures
The in-situ measurement of thermal stress in beams or continuous welded rails may prevent structural anomalies such as buckling. This study proposed a non-contact monitoring/inspection approach based on the use of a smartphone and a computer vision algorithm to estimate the vibrating characteristics...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948516/ https://www.ncbi.nlm.nih.gov/pubmed/29670034 http://dx.doi.org/10.3390/s18041250 |
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author | Sefa Orak, Mehmet Nasrollahi, Amir Ozturk, Turgut Mas, David Ferrer, Belen Rizzo, Piervincenzo |
author_facet | Sefa Orak, Mehmet Nasrollahi, Amir Ozturk, Turgut Mas, David Ferrer, Belen Rizzo, Piervincenzo |
author_sort | Sefa Orak, Mehmet |
collection | PubMed |
description | The in-situ measurement of thermal stress in beams or continuous welded rails may prevent structural anomalies such as buckling. This study proposed a non-contact monitoring/inspection approach based on the use of a smartphone and a computer vision algorithm to estimate the vibrating characteristics of beams subjected to thermal stress. It is hypothesized that the vibration of a beam can be captured using a smartphone operating at frame rates higher than conventional 30 Hz, and the first few natural frequencies of the beam can be extracted using a computer vision algorithm. In this study, the first mode of vibration was considered and compared to the information obtained with a conventional accelerometer attached to the two structures investigated, namely a thin beam and a thick beam. The results show excellent agreement between the conventional contact method and the non-contact sensing approach proposed here. In the future, these findings may be used to develop a monitoring/inspection smartphone application to assess the axial stress of slender structures, to predict the neutral temperature of continuous welded rails, or to prevent thermal buckling. |
format | Online Article Text |
id | pubmed-5948516 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-59485162018-05-17 Non-Contact Smartphone-Based Monitoring of Thermally Stressed Structures Sefa Orak, Mehmet Nasrollahi, Amir Ozturk, Turgut Mas, David Ferrer, Belen Rizzo, Piervincenzo Sensors (Basel) Article The in-situ measurement of thermal stress in beams or continuous welded rails may prevent structural anomalies such as buckling. This study proposed a non-contact monitoring/inspection approach based on the use of a smartphone and a computer vision algorithm to estimate the vibrating characteristics of beams subjected to thermal stress. It is hypothesized that the vibration of a beam can be captured using a smartphone operating at frame rates higher than conventional 30 Hz, and the first few natural frequencies of the beam can be extracted using a computer vision algorithm. In this study, the first mode of vibration was considered and compared to the information obtained with a conventional accelerometer attached to the two structures investigated, namely a thin beam and a thick beam. The results show excellent agreement between the conventional contact method and the non-contact sensing approach proposed here. In the future, these findings may be used to develop a monitoring/inspection smartphone application to assess the axial stress of slender structures, to predict the neutral temperature of continuous welded rails, or to prevent thermal buckling. MDPI 2018-04-18 /pmc/articles/PMC5948516/ /pubmed/29670034 http://dx.doi.org/10.3390/s18041250 Text en © 2018 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sefa Orak, Mehmet Nasrollahi, Amir Ozturk, Turgut Mas, David Ferrer, Belen Rizzo, Piervincenzo Non-Contact Smartphone-Based Monitoring of Thermally Stressed Structures |
title | Non-Contact Smartphone-Based Monitoring of Thermally Stressed Structures |
title_full | Non-Contact Smartphone-Based Monitoring of Thermally Stressed Structures |
title_fullStr | Non-Contact Smartphone-Based Monitoring of Thermally Stressed Structures |
title_full_unstemmed | Non-Contact Smartphone-Based Monitoring of Thermally Stressed Structures |
title_short | Non-Contact Smartphone-Based Monitoring of Thermally Stressed Structures |
title_sort | non-contact smartphone-based monitoring of thermally stressed structures |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948516/ https://www.ncbi.nlm.nih.gov/pubmed/29670034 http://dx.doi.org/10.3390/s18041250 |
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