| 研究課題/領域番号 |
22K10596
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| 研究機関 | 国立研究開発法人理化学研究所 |
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研究代表者 |
BALE RAHUL 国立研究開発法人理化学研究所, 計算科学研究センター, 研究員 (20728737)
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| 研究期間 (年度) |
2022-04-01 – 2025-03-31
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| キーワード | Droplet modeling / Indoor ventilation |
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| 研究実績の概要 |
The research has successfully incorporated the modeling of indoor spaces, irrespective of size, including critical factors such as ventilation and air-conditioning systems.This has been achieved by extending the IBM framework to impose arbitrary boundary conditions within the domain, overcoming the inherent limitations of the IBM in this respect.
Lastly, the research has developed a robust model for droplet-surface interaction, a key factor influencing droplet dispersion and inhalation, vital for studying the effectiveness of preventive measures such as masks and face shields. This model encapsulates the interaction at various mesh sizes and accounts for factors such as droplet size dependency on wall-interaction and molecular forces for aerosols.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
The project is proceeding as planned. During the first year of the project, the indented research plan has been executed as planned. Therefore, the project will proceed according to the original plan for the next fiscal year.
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| 今後の研究の推進方策 |
As a next step of the project, detailed sputum modeling and multi scale modeling will be carried out during this fiscal year. The research plan aims to refine the sputum droplet evaporation model and address the multiscale nature of Aerosol Dispersion Transmission (ADT). Firstly, the model for sputum droplet evaporation will be improved based on existing literature. Secondly, a hybrid implicit time-stepping scheme will be developed to handle the different time scales involved in ADT, particularly the evaporation of 10μm droplets and dispersion. This will be achieved by extending a previously developed semi-implicit scheme to a fully implicit one for better time-scale accuracy.
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| 次年度使用額が生じた理由 |
In the initial year, the emphasis was on developing the solver, so computational resources were not required. However, now that we have a functional version of the CFD solver, our plan is to conduct real-world simulations. For the upcoming fiscal year, it is anticipated that significant computational resources will be necessary. Consequently, the budget for the next year will be allocated towards the procurement of computational resources from high-performance computing systems like Fugaku at RIKEN-rccs.
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