Cargando…

Development of a numerical model to predict physiological strain of firefighter in fire hazard

This paper aims to develop a numerical model to predict heat stress of firefighter under low-level thermal radiation. The model integrated a modified multi-layer clothing model with a human thermoregulation model. We took the coupled radiative and conductive heat transfer in the clothing, the size-d...

Descripción completa

Detalles Bibliográficos
Autores principales: Su, Yun, Yang, Jie, Song, Guowen, Li, Rui, Xiang, Chunhui, Li, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5827774/
https://www.ncbi.nlm.nih.gov/pubmed/29483557
http://dx.doi.org/10.1038/s41598-018-22072-8
_version_ 1783302534914375680
author Su, Yun
Yang, Jie
Song, Guowen
Li, Rui
Xiang, Chunhui
Li, Jun
author_facet Su, Yun
Yang, Jie
Song, Guowen
Li, Rui
Xiang, Chunhui
Li, Jun
author_sort Su, Yun
collection PubMed
description This paper aims to develop a numerical model to predict heat stress of firefighter under low-level thermal radiation. The model integrated a modified multi-layer clothing model with a human thermoregulation model. We took the coupled radiative and conductive heat transfer in the clothing, the size-dependent heat transfer in the air gaps, and the controlling active and controlled passive thermal regulation in human body into consideration. The predicted core temperature and mean skin temperature from the model showed a good agreement with the experimental results. Parametric study was conducted and the result demonstrated that the radiative intensity had a significant influence on the physiological heat strain. The existence of air gap showed positive effect on the physiological heat strain when air gap size is small. However, when the size of air gap exceeds 6 mm, a different trend was observed due to the occurrence of natural convection. Additionally, the time length for the existence of the physiological heat strain was greater than the existence of the skin burn under various heat exposures. The findings obtained in this study provide a better understanding of the physiological strain of firefighter and shed light on textile material engineering for achieving higher protective performance.
format Online
Article
Text
id pubmed-5827774
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-58277742018-03-01 Development of a numerical model to predict physiological strain of firefighter in fire hazard Su, Yun Yang, Jie Song, Guowen Li, Rui Xiang, Chunhui Li, Jun Sci Rep Article This paper aims to develop a numerical model to predict heat stress of firefighter under low-level thermal radiation. The model integrated a modified multi-layer clothing model with a human thermoregulation model. We took the coupled radiative and conductive heat transfer in the clothing, the size-dependent heat transfer in the air gaps, and the controlling active and controlled passive thermal regulation in human body into consideration. The predicted core temperature and mean skin temperature from the model showed a good agreement with the experimental results. Parametric study was conducted and the result demonstrated that the radiative intensity had a significant influence on the physiological heat strain. The existence of air gap showed positive effect on the physiological heat strain when air gap size is small. However, when the size of air gap exceeds 6 mm, a different trend was observed due to the occurrence of natural convection. Additionally, the time length for the existence of the physiological heat strain was greater than the existence of the skin burn under various heat exposures. The findings obtained in this study provide a better understanding of the physiological strain of firefighter and shed light on textile material engineering for achieving higher protective performance. Nature Publishing Group UK 2018-02-26 /pmc/articles/PMC5827774/ /pubmed/29483557 http://dx.doi.org/10.1038/s41598-018-22072-8 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Su, Yun
Yang, Jie
Song, Guowen
Li, Rui
Xiang, Chunhui
Li, Jun
Development of a numerical model to predict physiological strain of firefighter in fire hazard
title Development of a numerical model to predict physiological strain of firefighter in fire hazard
title_full Development of a numerical model to predict physiological strain of firefighter in fire hazard
title_fullStr Development of a numerical model to predict physiological strain of firefighter in fire hazard
title_full_unstemmed Development of a numerical model to predict physiological strain of firefighter in fire hazard
title_short Development of a numerical model to predict physiological strain of firefighter in fire hazard
title_sort development of a numerical model to predict physiological strain of firefighter in fire hazard
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5827774/
https://www.ncbi.nlm.nih.gov/pubmed/29483557
http://dx.doi.org/10.1038/s41598-018-22072-8
work_keys_str_mv AT suyun developmentofanumericalmodeltopredictphysiologicalstrainoffirefighterinfirehazard
AT yangjie developmentofanumericalmodeltopredictphysiologicalstrainoffirefighterinfirehazard
AT songguowen developmentofanumericalmodeltopredictphysiologicalstrainoffirefighterinfirehazard
AT lirui developmentofanumericalmodeltopredictphysiologicalstrainoffirefighterinfirehazard
AT xiangchunhui developmentofanumericalmodeltopredictphysiologicalstrainoffirefighterinfirehazard
AT lijun developmentofanumericalmodeltopredictphysiologicalstrainoffirefighterinfirehazard