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  • 标题:High-Fidelity Simulation of Pathogen Propagation, Transmission and Mitigation in the Built Environment
  • 本地全文:下载
  • 作者:Rainald Löhner ; Rainald Löhner
  • 期刊名称:Mecánica Computacional
  • 印刷版ISSN:2591-3522
  • 出版年度:2021
  • 卷号:XXXVIII
  • 期号:2
  • 页码:13-13
  • 语种:English
  • 出版社:CIMEC-INTEC-CONICET-UNL
  • 摘要:The current pandemic has renewed interest in pathogen propagation, transmission and mitigation. In particular, the relative impact of transmission via `large droplets' versus `small droplets' or aerosols, as well as possible changes to existing heating, ventilation air-conditioning (HVAC) systems has been debated throughout 2020. This in turn has lead to a vigorous effort to model all of the phenomena associated with pathogen propagation, transmission and mitigation via advanced computational techniques - from the molecular scale to the scale of the built environment. In order to derive the required physical and numerical models, the talk will start by summarizing the current understanding of pathogen (and in particular virus) transmission and mitigation. The ordinary and partial differential equations that describe the flow, the particles and possibly the UV radiation loads in rooms or HVAC ducts will be presented, as well as proper numerical methods to solve them in an expedient way. Thereafter, the motion of pedestrians, as well as proper ways to couple computational fluid dynamics (CFD) and computational crowd dynamics (CCD) to enable high-fidelity pathogen transmission and infection simulations is treated. Numerous examples (classrooms, offices, hospitals, subway cars, airplanes) of studies carried out over the last year indicate that high-fidelity simulations of pathogen propagation, transmission and mitigation in the built environment have reached a high degree of sophistication, offering a quantum leap in accuracy from simpler probabilistic models. This is particularly the case when considering the propagation of pathogens via aerosols in the presence of moving pedestrians.
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