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Showing 1 to 4 of 4 for “"pedestrian level wind"”.

  1. The study of pedestrian level wind at MacGregor dormitory building

    This study uses the Wright Brothers Wind Tunnel at MIT to study a 100:1 scaled model of the MacGregor dormitory building. The purposes are to quantify and analyze the effect of the presence of the building on pedestrian-level wind conditions, and to find the possible causes of an unusual strong …

    mit Repository record for The study of pedestrian level wind at MacGregor dormitory building (opens in a new tab)

  2. Outdoor wind speed enhancement in residential precincts in tropical cities

    Wind speeds in urban areas are significantly reduced due to the blockage effects of urban structures. Lower wind speeds inhibit passive ventilation and reduce thermal comfort in tropical cities. This thesis uses both experimental and computational fluid dynamics (CFD) modeling to explore the …

    mit Repository record for Outdoor wind speed enhancement in residential precincts in tropical cities (opens in a new tab)

  3. Passive enhancement of air flow at pedestrian level in built environments

    A densely built environment has low wind speed at the pedestrian level due to flow obstruction induced by buildings. Urban street canyons, the outdoor spaces formed between buildings, often have much lower wind speed than the atmospheric wind above the roof level. In tropical regions, wind plays an …

    mit Repository record for Passive enhancement of air flow at pedestrian level in built environments (opens in a new tab)

  4. Autonomous 3D Urban and Complex Terrain Geometry Generation and Micro-Climate Modelling Using CFD and Deep Learning

    … and pragmatic numerical urban micro-climate for wind engineering, environmental, and building energy simulation applications should address the complexity of the geometry and the variability of surface types involved in urban exposures. The original contribution to knowledge in this research is …

    uwo Repository record for Autonomous 3D Urban and Complex Terrain Geometry Generation and Micro-Climate Modelling Using CFD and Deep Learning (opens in a new tab)