The Proceedings of the Thermal Engineering Conference
Online ISSN : 2424-290X
2023
Session ID : A111
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Feasibility study of data assimilation for Thermoregulation models
*Kurumu NishidateHikaru IshibashiTomoki ShimomuraYasuhiro ShimazakiJunnosuke OkajimaTakuma Kogawa
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Abstract

In recent years, the risk of physical illness due to heat stroke and heat shock has been increasing in such as the non-steady thermal environment. Therefore, to visualize the risk of the non-steady thermal environment, thermal response of the body should be evaluated from the heat transfer problem by using the thermoregulation model. To adopt the individual effect and include no-steady heat transfer problem, the data assimilation of the thermoregulation model has been performed. By assimilating the measured skin temperature, the feasibility of the data assimilation for the prediction of the body core temperature has been evaluated.

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© 2023 The Japan Society of Mechanical Engineers
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