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A Eulerian-Lagrangian approach for the CFD analysis of airborne disease transmission in a car cabin
Author(s) -
Giorgio Grossi,
Fausto Arpino,
Giorgio Buonanno,
G. Cortellessa,
Linda Moretti,
Hideaki Nagano,
Luca Stabile
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2177/1/012015
Subject(s) - taxis , computational fluid dynamics , eulerian path , environmental science , air quality index , automotive engineering , lagrangian , marine engineering , airborne transmission , ventilation (architecture) , transient (computer programming) , aerospace engineering , computer science , simulation , meteorology , engineering , covid-19 , physics , transport engineering , medicine , disease , pathology , infectious disease (medical specialty) , mathematical physics , operating system
In indoor environments such as private cars, taxis and public transport, social distance cannot always be applied and virus concentrations can reach high levels. In this paper, a Eulerian-Lagrangian approach is adopted for the transient simulation of aerosol airborne dispersion in a passenger car cabin. The numerical tool, validated by PIV analysis, is applied to study three different scenarios during the respiratory activity. The car ventilation system and the position of the passengers affect the mass of inhaled aerosol and consequently the quality of the passenger compartment air.

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