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Wireless Network for Assessing Temperature Load of Large-Scale Structures Under Fire Hazards
While the construction of high-rise buildings has become popular in big cities, an average of over 15,000 structure fires in those buildings are being reported in the United States. Especially because the fire in a building can result in a failure or even the collapse of the structure, assessing its...
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/PMC6339155/ https://www.ncbi.nlm.nih.gov/pubmed/30585181 http://dx.doi.org/10.3390/s19010065 |
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author | Kim, Robin E. In, Kiho Yeo, Inhwan |
author_facet | Kim, Robin E. In, Kiho Yeo, Inhwan |
author_sort | Kim, Robin E. |
collection | PubMed |
description | While the construction of high-rise buildings has become popular in big cities, an average of over 15,000 structure fires in those buildings are being reported in the United States. Especially because the fire in a building can result in a failure or even the collapse of the structure, assessing its integrity during and after the fire is of importance. Thus, in this paper, a framework with temperature sensors using wireless communication technology has been proposed. Associated hardware and software are carefully chosen and developed to provide an easy and effective solution for measuring fire load on large-scale structures during a fire. With an autonomous measurement system enabled, the key functions of the framework have been validated in a fire testing laboratory, using a real-scale steel column subject to standard fire. Unlike existing solutions of wireless temperature networks, the proposed solution can provide the user definable sampling frequencies based on the surface temperature and the means to assess the load redistribution of the structure due to fire loading in real-time. The results of the study show the great potential of using the developed framework for monitoring fire in a structure, allowing more accurate estimations of fire load in the design criteria, and advancing fire safety engineering. |
format | Online Article Text |
id | pubmed-6339155 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63391552019-01-23 Wireless Network for Assessing Temperature Load of Large-Scale Structures Under Fire Hazards Kim, Robin E. In, Kiho Yeo, Inhwan Sensors (Basel) Article While the construction of high-rise buildings has become popular in big cities, an average of over 15,000 structure fires in those buildings are being reported in the United States. Especially because the fire in a building can result in a failure or even the collapse of the structure, assessing its integrity during and after the fire is of importance. Thus, in this paper, a framework with temperature sensors using wireless communication technology has been proposed. Associated hardware and software are carefully chosen and developed to provide an easy and effective solution for measuring fire load on large-scale structures during a fire. With an autonomous measurement system enabled, the key functions of the framework have been validated in a fire testing laboratory, using a real-scale steel column subject to standard fire. Unlike existing solutions of wireless temperature networks, the proposed solution can provide the user definable sampling frequencies based on the surface temperature and the means to assess the load redistribution of the structure due to fire loading in real-time. The results of the study show the great potential of using the developed framework for monitoring fire in a structure, allowing more accurate estimations of fire load in the design criteria, and advancing fire safety engineering. MDPI 2018-12-25 /pmc/articles/PMC6339155/ /pubmed/30585181 http://dx.doi.org/10.3390/s19010065 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 Kim, Robin E. In, Kiho Yeo, Inhwan Wireless Network for Assessing Temperature Load of Large-Scale Structures Under Fire Hazards |
title | Wireless Network for Assessing Temperature Load of Large-Scale Structures Under Fire Hazards |
title_full | Wireless Network for Assessing Temperature Load of Large-Scale Structures Under Fire Hazards |
title_fullStr | Wireless Network for Assessing Temperature Load of Large-Scale Structures Under Fire Hazards |
title_full_unstemmed | Wireless Network for Assessing Temperature Load of Large-Scale Structures Under Fire Hazards |
title_short | Wireless Network for Assessing Temperature Load of Large-Scale Structures Under Fire Hazards |
title_sort | wireless network for assessing temperature load of large-scale structures under fire hazards |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339155/ https://www.ncbi.nlm.nih.gov/pubmed/30585181 http://dx.doi.org/10.3390/s19010065 |
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