Literature DB >> 25436951

Experimental and numerical study of physiological responses in hot environments.

Jie Yang1, Wenguo Weng1, Baoting Zhang1.   

Abstract

This paper proposed a multi-node human thermal model to predict human thermal responses in hot environments. The model was extended based on the Tanabe's work by considering the effects of high temperature on heat production, blood flow rate, and heat exchange coefficients. Five healthy men dressed in shorts were exposed in thermal neutral (29 °C) and high temperature (45 °C) environments. The rectal temperatures and skin temperatures of seven human body segments were continuously measured during the experiment. Validation of this model was conducted with experimental data. The results showed that the current model could accurately predict the skin and core temperatures in terms of the tendency and absolute values. In the human body segments expect calf and trunk, the temperature differences between the experimental data and the predicted results in high temperature environment were smaller than those in the thermally neutral environment conditions. The extended model was proved to be capable of predicting accurately human physiological responses in hot environments.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Hot environment; Human subject test; Human thermal model; Physiological response

Mesh:

Year:  2014        PMID: 25436951     DOI: 10.1016/j.jtherbio.2014.07.010

Source DB:  PubMed          Journal:  J Therm Biol        ISSN: 0306-4565            Impact factor:   2.902


  3 in total

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Journal:  J Appl Physiol (1985)       Date:  2022-06-23

2.  The Effects of a Passive Exoskeleton on Human Thermal Responses in Temperate and Cold Environments.

Authors:  Yang Liu; Xiaoling Li; Jiarui Lai; Aibin Zhu; Xiaodong Zhang; Ziming Zheng; Huijin Zhu; Yueyang Shi; Long Wang; Zhangyi Chen
Journal:  Int J Environ Res Public Health       Date:  2021-04-08       Impact factor: 3.390

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

Authors:  Yun Su; Jie Yang; Guowen Song; Rui Li; Chunhui Xiang; Jun Li
Journal:  Sci Rep       Date:  2018-02-26       Impact factor: 4.379

  3 in total

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