Establishing a new concept of comprehensive simulation science dovetailing CFD and MAS for evaluating urban environment and potential risks

2022 Fiscal Year Final Research Report

• Project/Area Number: 20H02314
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Review Section: Basic Section 23020:Architectural environment and building equipment-related
• Research Institution: Kyushu University
• Principal Investigator: Tanimoto Jun 九州大学, 総合理工学研究院, 教授 (60227238)
• Co-Investigator(Kenkyū-buntansha): 萩島 理 九州大学, 総合理工学研究院, 教授 (60294980) ; 池谷 直樹 九州大学, 総合理工学研究院, 准教授 (70628213)
• Project Period (FY): 2020-04-01 – 2023-03-31
• Keywords: CFD / MAS / ジョイントシミュレーション / Cellular Automata / 都市キャノピー / 乱流混合 / 感染リスク / 新興感染症

Outline of Final Research Achievements

In order to build a brand-new concept; CFD+MAS Joint Simulation, we successfully delivered the fundamental template (or say, prototype) in which a framework of Self-driven Particle Simulation system, that is called Multi Agent Simulation (MAS), is dovetailed with a CFD (Computer Fluid Dynamics) simulation. More precisely, a MAS follows the kernel of LES, which is one of the resolvable CFD systems to chase a time-evolution of continuum physical properties such as the concentration of pollutants, virions and others. In view of applications, we paved the fundamental theories and simulation core for i) quantifying the turbulence mixing effect in an urban canopy enhanced by shear supply by moving vehicles, and ii) risk assessment in a closed built environment in which susceptible individuals and infectious (and infected) individuals co-exist who are both treated as ‘moving’ pedestrians. In conclusion, we are able to a good inception to be extended to new discipline; ‘Simulationaolgy’.

Free Research Field

社会物理学

Academic Significance and Societal Importance of the Research Achievements

環境リスク評価には，今日，シミュレーション技術としてのCFDを抜きには語れない．一方で，都市内の交通流や閉鎖空間内での人の流動が，乱流シアー生成による混合促進（あるいは阻害）を招き，スカラー拡散に決定的影響を与える．本研究により，自己駆動エージェント（車や人など）がもたらす動的影響を組み込んだ乱流場の予測手法；CFD→MASシミュレーション技法の基盤技術を構築したことは，ジョイント・シミュレーション新学理への展開を図るうえで大きな学術的インパクトがある．また，都市キャノピー内の汚染物拡散，閉鎖空間内の感染リスク評価の高精度に資する本フレームは社会的意義も大きい．