2023 Fiscal Year Final Research Report
Development of in silico model for health impact assessment of Asbestos emitted from building materials
| Project/Area Number |
20KK0099
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| Research Category |
Fund for the Promotion of Joint International Research (Fostering Joint International Research (B))
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| Allocation Type | Multi-year Fund |
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| Review Section |
Medium-sized Section 23:Architecture, building engineering, and related fields
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| Research Institution | Kyushu University |
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Principal Investigator |
Ito Kazuhide 九州大学, 総合理工学研究院, 教授 (20329220)
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| Co-Investigator(Kenkyū-buntansha) |
劉 城準 九州大学, 総合理工学研究院, 准教授 (30783394)
牟田 諒太 九州大学, 総合理工学研究院, 技術職員 (40852629)
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| Project Period (FY) |
2020-10-27 – 2024-03-31
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| Keywords | アスベスト / in silico model / 計算流体力学 / 経気道曝露 / 生理的薬物動態 |
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| Outline of Final Research Achievements |
In this study, we created an in silico airway model, which serves as a numerical platform for integrating medical in vivo and in vitro test results on respiratory exposure to asbestos fibers. Furthermore, we developed Euler-Lagrange type numerical analysis model to quantitatively predict the transport of asbestos fibers dispersed in the air. Finally, we established a series of numerical analysis methods that enable precise prediction of asbestos fiber deposition and heterogeneous hot-spot distributions in the airways.
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| Free Research Field |
建築環境工学
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| Academic Significance and Societal Importance of the Research Achievements |
本研究では，生理的アスベスト動態モデルと生体流体解析技術を統合した数値気道モデルを作成した上で，繊維形状であるアスベストの力学的特徴を正確に再現した浮遊アスベストの空気中輸送と沈着を解析するEuler-Lagrange型の数値解析技術を確立し，一連の統合シミュレーションモデルとして整理を行った．実人体を対象としたin vivo実験が困難なアスベスト曝露問題に対し，数値解析を基盤とした曝露予測手法を新たな視点で構築するもので，医―工連携課題としての学術的意義がある．
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