2006 Fiscal Year Final Research Report Summary
Research of Human Adaptability for Thermal Environment by Using Thermoregulation Model Expressing Local Characteristics of Each Segment
| Project/Area Number |
16207017
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
生理人類学
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| Research Institution | HOKKAIDO UNIVERSITY |
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Principal Investigator |
YOKOYAMA S. Hokkaido Univ., Grad. School of Eng., Prof., 大学院工学研究科, 教授 (90002279)
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| Co-Investigator(Kenkyū-buntansha) |
INOUE K. Hokkaido Univ., School of Med., Prof., 医学部, 教授 (80133718)
KAWAHATSU K. Hokkaido Univ., Center R & D in Higher Ed., Prof., 高等教育機能開発総合センター, 教授 (80026822)
長野 克則 北海道大学, 大学院工学研究科, 教授 (80208032)
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| Project Period (FY) |
2004 – 2006
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| Keywords | Human Adaptability / Thermal Environment / Thermoregulation Model / Local Characteristics / Individual Difference / Morphological Variation / Functional Variation / Prediction Program |
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| Research Abstract |
We introduced a computer program developed for numerical analysis of thermal conditions of all segments and blood circulatory systems in the human body to precisely evaluate human thermal physiological and psychological responses. In this program, a cylindrical model consisting of internal multi-layers is adapted for the segment of the human body. For the multi-layered concentric cylindrical model, we adopted a new numerical solution method. By using this computer program, the internal tissue temperatures, heat fluxes and blood temperatures of all segments in the human body could be calculated simultaneously. This program also included a subroutine for calculation of thermoregulatory response. In addition the program was installed a subroutine for prediction of thermal psychological responses with neural network technique.
This report describes the improvements made to this computer program for simulating individual physical differences and its application to various working levels. The main points for improvement were the assigning procedures of physical characteristics of individuals and local muscle heat production. The improved computer program was used to simulate the whole body temperatures of subjects during various kinds of exercise under various thermal environmental conditions. The calculated results were well agreed with the measured results. It was indicated that improvement of a prediction computer program of whole body temperature was effective.
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