CFD modelling of indoor aerosol transport based on experimental Lagrangian particle tracking measurements to infer airborne SARS-CoV-2 transmission risk

基于实验性拉格朗日粒子跟踪测量的室内气溶胶输送 CFD 建模，以推断空气中 SARS-CoV-2 的传播风险

• 批准号: 469077966
• 负责人: Professor Dr. Marc Avila Canellas
• 金额: --
• 依托单位: Zentrum für angewandte Raumfahrttechnologie und Mikrogravitation (ZARM)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2021
• 资助国家: 德国
• 起止时间: 2020-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/469077966?language=en
• 关键词: CFD; modelling; indoor; aerosol; transport

There is compelling evidence that transmission of SARS-CoV-2 occurs predominantly indoors, that airborne transmission via aerosols is one significant route of infection, and that smaller aerosols can directly infect the lungs, thereby triggering the most sever courses of COVID-19. Thus, understanding aerosol transport in indoor environments is indispensable for controlling the ongoing pandemic and to help preventing future ones involving airborne transmission. However, bio-aerosol transport dynamics in indoor environments is notoriously complex and therefore not straightforward to model and asses. In this proposal, we aim at testing and validating computationally affordable, generally accessible CFD-approaches for indoor aerosol transport. First, we will identify key aspects of aerosol transport and accumulation in such environments by analysing our unique, highly-resolved experimental data. Second, we will model aerosol transport in using unsteady simulations to assess whether the most significant aerosol transport and accumulation processes can be acceptably reproduced. We will combine both approaches to provide validation and parametrisation guidelines for future design and modelling efforts. This will help the global research community to quickly tailor ventilation and room-air-hygiene concepts.

有令人信服的证据表明，SARS-CoV-2 的传播主要发生在室内，通过气溶胶进行空气传播是一种重要的感染途径，较小的气溶胶可以直接感染肺部，从而引发最严重的 COVID-19 病程。因此，了解室内环境中的气溶胶传播对于控制当前的流行病并帮助预防未来涉及空气传播的流行病是必不可少的。然而，室内环境中的生物气溶胶传输动力学非常复杂，因此难以直接建模和评估。在本提案中，我们的目标是测试和验证计算上可负担且普遍可用的室内气溶胶输送 CFD 方法。首先，我们将通过分析我们独特的高分辨率实验数据来确定此类环境中气溶胶输送和积累的关键方面。其次，我们将使用非稳态模拟对气溶胶输送进行建模，以评估是否可以可接受地再现最重要的气溶胶输送和积累过程。我们将结合这两种方法，为未来的设计和建模工作提供验证和参数化指南。这将有助于全球研究界快速定制通风和室内空气卫生概念。