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Social Distancing: The Sensitivity of Numerical Simulations

Christophe Henry 1 Kerlyns Martinez-Rodriguez 1 Mireille Bossy 1 Hervé Guillard 2 Nicolas Rutard 3 Angelo Murrone 3
1 CALISTO - Stochastic Approaches for Complex Flows and Environment
CEMEF - Centre de Mise en Forme des Matériaux, CRISAM - Inria Sophia Antipolis - Méditerranée
2 CASTOR - Control, Analysis and Simulations for TOkamak Research
CRISAM - Inria Sophia Antipolis - Méditerranée , JAD - Laboratoire Jean Alexandre Dieudonné
Abstract : Researchers from Inria and the French Aerospace Lab ONERA are collaborating on a joint project. The goal is to assess the variability in the advice for social distancing precautions that can be drawn from numerical simulations of airborne dispersion. This variability depends on a number of factors, including: physical variables (e.g. droplet size, ejection velocity), modelling methods used (e.g. turbulence model) and numerical aspects (mesh). We use sensitivity analysis tools to quantify and order the role these factors play in influencing the numerical results.
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Submitted on : Saturday, December 5, 2020 - 10:54:22 AM
Last modification on : Friday, January 21, 2022 - 3:21:00 AM
Long-term archiving on: : Saturday, March 6, 2021 - 6:16:14 PM


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  • HAL Id : hal-03041624, version 1


Christophe Henry, Kerlyns Martinez-Rodriguez, Mireille Bossy, Hervé Guillard, Nicolas Rutard, et al.. Social Distancing: The Sensitivity of Numerical Simulations. ERCIM News, ERCIM, 2021, Special theme: Pandemic Modelling and Simulation, 2021 (124). ⟨hal-03041624⟩



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