Tokyo Institute of Technology · 환경과학
Tsubasa Okaze 교수의 연구실은 풍공학 및 환경유체공학 분야에서 주로 활동하며, 특히 건물 주변의 풍환경과积雪(눈송이) 유동 현상에 대한 수치유체역학(CFD) 및 실험적 연구를 핵심으로 합니다. 눈송이의 이동 메커니즘과 눈송이가 형성하는积설 현상의 정량적 분석을 위해 고정밀 CFD 모델링과 대규모 난류 시뮬레이션(LES) 기법을 응용하고 있으며, 도시 환경에서의 풍속, 눈송이 이동, 열적 쾌적함 등 실생활 환경 문제를 해결하는 데 목적이 있습니다. 특히 생체신호(예: 뇌파 EEG)를 활용한 개인 맞춤형 쾌적 환경 제어 기술에 대한 연구도 진행 중입니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
This study aims to develop a new drifting snow model that solves two transport equations of drifting snow densities of the snow particles falling from the sky and those coming from the ground surface. Because the shape of snow particles falling from the sky is completely different from that of snow particles lifted up from the snow surface which are broken apart by repeated collision with the surface. CFD prediction of snowdrift around a cubic shaped building model using the developed new model
Appropriate large-eddy simulation (LES) guidelines for pedestrian wind environments are being established by the working group of the Architectural Institute of Japan. We conducted LESs for a flow field around an isolated building to clarify the influence of computational conditions on turbulent statistics. We performed a cross-comparison study by examining both experimental and LES results for various computational conditions such as grid arrangements, subgrid scale models, spatial derivation s
This paper was reviewed and accepted by the APCWE-IX Programme Committee for Presentation at the 9th Asia-Pacific Conference on Wind Engineering, University of Auckland, Auckland, New Zealand, held from 3-7 December 2017.
Wind tunnel measurements of distributions of wind velocity and transport rate of drifting snow in developing boundary layer above loose and hard snow surfaces were firstly carried out to investigate the characteristics of drifting snow phenomena in a non-equilibrium flowfield. Secondly, a numerical method based on k-ε model was developed, in which the effects of snow particles on the flowfield were considered by adding extra terms in the transport equations of k and ε. Finally, the results of CF
Thermal comfort of humans depends on the surrounding environment and affects their productivity. Several environmental factors, such as air temperature, relative humidity, wind or airflow, and radiation, have considerable influence on the thermal comfort or pleasantness; hence, these are generally controlled by electrical devices. Lately, the development of objective measurement methods for thermal comfort or pleasantness using physiological signals is receiving attention to realize a personaliz
