九州大学 · 環境科学
伊ヶ谷直樹教授の研究室では、建物内・周辺の流れと換気メカニズムを、数値流体力学的手法を用いて解明しています。特に、建物群内の風の流れと換気効率に与える開口部位置の影響を、RANS法を用いたCFLシミュレーションで定量的に分析しています。また、室内における汚染物質の拡散や脱出挙動を定式化するため、ネット脱出速度（NEV）やネット脱出確率（NEP）といった新規な物理的指標の数学的基盤を構築しています。これらの研究は、都市環境における熱環境改善や健康に配慮した建物設計に貢献します。
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Computational fluid dynamics simulations with a Reynolds-averaged Navier-Stokes model were performed for flow fields over a building array and inside a building in the array with different building opening positions. Ten combinations of opening locations were selected to investigate the effect of the locations on indoor cross-ventilation rates. The results of these simulations show that the exterior distributions of mean wind speed and turbulence kinetic energy hardly differ even though building
Net escape velocity (NEV) and net escape probability (NEP) are concepts that describe that scalar quantity discharged from a source in an indoor air environment is expressed by the unique velocity scales of the returning and escaping populations. Despite the conceptual description and applications of several numerical simulations, the definitions were not precisely explained using a mathematical formula. Here, we derive rigorous mathematical formulations of the NEV and NEP. These formulations pr
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