Szczegóły publikacji

Opis bibliograficzny

Three-dimensional simulations of the airborne COVID-19 pathogens using the advection-diffusion model and alternating-directions implicit solver / Marcin ŁOŚ, Maciej WOŹNIAK, Ignacio Muga, Maciej PASZYŃSKI // Bulletin of the Polish Academy of Sciences. Technical Sciences ; ISSN 0239-7528. — 2021 — vol. 69 no. 4 art. no. e137125, s. 1–8. — Bibliogr. s. 8, Abstr.

Autorzy (4)

Słowa kluczowe

advection-diffusionpathogen spreadimplicit dynamicsisogeometric analysisCOVID-19parallel alternating directions solver

Dane bibliometryczne

ID BaDAP135725
Data dodania do BaDAP2021-09-09
Tekst źródłowyURL
DOI10.24425/bpasts.2021.137125
Rok publikacji2021
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Creative Commons
Czasopismo/seriaBulletin of the Polish Academy of Sciences, Technical Sciences

Abstract

In times of the COVID-19, reliable tools to simulate the airborne pathogens causing the infection are extremely important to enable the testing of various preventive methods. Advection-diffusion simulations can model the propagation of pathogens in the air. We can represent the concentration of pathogens in the air by “contamination” propagating from the source, by the mechanisms of advection (representing air movement) and diffusion (representing the spontaneous propagation of pathogen particles in the air). The three-dimensional time-dependent advection-diffusion equation is difficult to simulate due to the high computational cost and instabilities of the numerical methods. In this paper, we present alternating directions implicit isogeometric analysis simulations of the three-dimensional advection-diffusion equations. We introduce three intermediate time steps, where in the differential operator, we separate the derivatives concerning particular spatial directions. We provide a mathematical analysis of the numerical stability of the method. We show well-posedness of each time step formulation, under the assumption of a particular time step size. We utilize the tensor products of one-dimensional B-spline basis functions over the three-dimensional cube shape domain for the spatial discretization. The alternating direction solver is implemented in C++ and parallelized using the GALOIS framework for multi-core processors. We run the simulations within 120 minutes on a laptop equipped with i7 6700 Q processor 2.6 GHz (8 cores with HT) and 16 GB of RAM.

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