Aerosol Spread in a Generic Train Entrance: Comparison Between Experiment and Numerical Simulation

Webner, Florian; Kohl, Andreas; Schmeling, Daniel; Wagner, Claus

doi:10.1007/978-3-031-40482-5_56

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

2023

DOI: 10.1007/978-3-031-40482-5_56

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Aerosol Spread in a Generic Train Entrance: Comparison Between Experiment and Numerical Simulation

Florian Webner,

Andreas Kohl,

Daniel Schmeling

et al.

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2024

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Cited by 1 publication

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A Direct Infection Risk Model for CFD Predictions and Its Application to SARS-CoV-2 Aircraft Cabin Transmission

Webner,

Shishkin,

Schmeling

et al. 2024

Indoor Air

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Current models to determine the risk of airborne disease infection are typically based on a backward quantification of observed infections, leading to uncertainties, e.g., due to the lack of knowledge whether the index person was a superspreader. In contrast, the present work presents a forward infection risk model that calculates the inhaled dose of infectious virus based on the virus emission rate of an emitter and a prediction of Lagrangian particle trajectories using CFD, taking both the residence time of individual particles and the biodegradation rate into account. The estimation of the dose-response is then based on data from human challenge studies. Considering the available data for SARS-CoV-2 from the literature, it is shown that the model can be used to estimate the risk of infection with SARS-CoV-2 in the cabin of a Do728 single-aisle aircraft. However, the virus emission rate during normal breathing varies between different studies and also by about two orders of magnitude within one and the same study. A sensitivity analysis shows that the uncertainty in the input parameters leads to uncertainty in the prediction of the infection risk, which is between 0 and 12 infections among 70 passengers. This highlights the importance and challenges in terms of superspreaders for risk prediction, which are difficult to capture using standard backward calculations. Further, biological inactivation was found to have no significant impact on the risk of infection for SARS-CoV-2 in the considered aircraft cabin.

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A Direct Infection Risk Model for CFD Predictions and Its Application to SARS-CoV-2 Aircraft Cabin Transmission

Webner,

Shishkin,

Schmeling

et al. 2024

Indoor Air

Self Cite

View full text Add to dashboard Cite

show abstract

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Aerosol Spread in a Generic Train Entrance: Comparison Between Experiment and Numerical Simulation

Cited by 1 publication

References 13 publications

A Direct Infection Risk Model for CFD Predictions and Its Application to SARS-CoV-2 Aircraft Cabin Transmission

A Direct Infection Risk Model for CFD Predictions and Its Application to SARS-CoV-2 Aircraft Cabin Transmission

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