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Coupling radiative, conductive and convective heat-transfers in a single Monte Carlo algorithm: A general theoretical framework for linear situations.

Authors :
Tregan, Jean Marc
Amestoy, Jean Luc
Bati, Megane
Bezian, Jean-Jacques
Blanco, Stéphane
Brunel, Laurent
Caliot, Cyril
Charon, Julien
Cornet, Jean-Francois
Coustet, Christophe
d'Alençon, Louis
Dauchet, Jeremi
Dutour, Sebastien
Eibner, Simon
El Hafi, Mouna
Eymet, Vincent
Farges, Olivier
Forest, Vincent
Fournier, Richard
Galtier, Mathieu
Source :
PLoS ONE. 4/6/2023, Vol. 17 Issue 4, p1-54. 54p.
Publication Year :
2023

Abstract

It was recently shown that radiation, conduction and convection can be combined within a single Monte Carlo algorithm and that such an algorithm immediately benefits from state-of-the-art computer-graphics advances when dealing with complex geometries. The theoretical foundations that make this coupling possible are fully exposed for the first time, supporting the intuitive pictures of continuous thermal paths that run through the different physics at work. First, the theoretical frameworks of propagators and Green's functions are used to demonstrate that a coupled model involving different physical phenomena can be probabilized. Second, they are extended and made operational using the Feynman-Kac theory and stochastic processes. Finally, the theoretical framework is supported by a new proposal for an approximation of coupled Brownian trajectories compatible with the algorithmic design required by ray-tracing acceleration techniques in highly refined geometry. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19326203
Volume :
17
Issue :
4
Database :
Academic Search Index
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
162941815
Full Text :
https://doi.org/10.1371/journal.pone.0283681