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Modelling urban airflow and natural ventilation using a GPU-based lattice-Boltzmann method 원문보기

Building and environment, v.125, 2017년, pp.273 - 284  

King, Marco-Felipe (Institute for Public Health and Environmental Engineering, University of Leeds, Leeds, UK) ,  Khan, Amirul (Institute for Public Health and Environmental Engineering, University of Leeds, Leeds, UK) ,  Delbosc, Nicolas (School of Mechanical Engineering, University of Leeds, Leeds, UK) ,  Gough, Hannah L. (Department of Meteorology, University of Reading, Reading, UK) ,  Halios, Christos (Department of Meteorology, University of Reading, Reading, UK) ,  Barlow, Janet F. (Department of Meteorology, University of Reading, Reading, UK) ,  Noakes, Catherine J. (Institute for Public Health and Environmental Engineering, University of Leeds, Leeds, UK)

Abstract AI-Helper 아이콘AI-Helper

Abstract Simulation of urban airflow and ventilation potential is desirable for building design, however the complex and transient nature of flows in urban environments makes this a challenging task. This study aims to evaluate the capability of a lattice-Boltzmann method (LBM) code deployed on a g...

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