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• W4309743898 abstract "In workplaces such as steel, power grids, and construction, firefighters and other workers often encounter non-uniform high-temperature environments, which significantly increase the risk of local heat stress and local heat discomfort for the workers. In this paper, a multi-segment human bioheat model is developed to predict the human thermal response in asymmetric high-temperature environments by considering the sensitivity of the modeling to angular changes in skin temperature and the effects of high temperatures on human thermoregulatory and physiological responses simultaneously. The extended model for asymmetric high-temperature environments is validated with the current model results and experimental data. The result shows that the extended model predicts the human skin temperature more accurately. Under non-uniform high-temperature conditions, the local skin temperature predictions are highly consistent with the experimental data, with a maximum difference of 2 °C. In summary, the proposed model can accurately predict the temperature of the human core and skin layers. It has the potential to estimate human physiological and thermoregulatory responses under uniform and non-uniform high-temperature environments, providing technical support for local heat stress and local thermal discomfort protection." @default.
• W4309743898 created "2022-11-29" @default.
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• W4309743898 date "2022-11-18" @default.
• W4309743898 modified "2023-09-25" @default.
• W4309743898 title "A Multi-Segmented Human Bioheat Model for Asymmetric High Temperature Environments" @default.
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• W4309743898 doi "https://doi.org/10.3390/ijerph192215259" @default.
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