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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 JM
Amestoy JL
Bati M
Bezian JJ
Blanco S
Brunel L
Caliot C
Charon J
Cornet JF
Coustet C
d'Alençon L
Dauchet J
Dutour S
Eibner S
El Hafi M
Eymet V
Farges O
Forest V
Fournier R
Galtier M
Gattepaille V
Gautrais J
He Z
Hourdin F
Ibarrart L
Joly JL
Lapeyre P
Lavieille P
Lecureux MH
Lluc J
Miscevic M
Mourtaday N
Nyffenegger-Péré Y
Pelissier L
Penazzi L
Piaud B
Rodrigues-Viguier C
Roques G
Roger M
Saez T
Terrée G
Villefranque N
Vourc'h T
Yaacoub D
Source :
PloS one [PLoS One] 2023 Apr 06; Vol. 18 (4), pp. e0283681. Date of Electronic Publication: 2023 Apr 06 (Print Publication: 2023).
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.<br />Competing Interests: The authors have declared that no competing interests exist.<br /> (Copyright: © 2023 Tregan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Details

Language :
English
ISSN :
1932-6203
Volume :
18
Issue :
4
Database :
MEDLINE
Journal :
PloS one
Publication Type :
Academic Journal
Accession number :
37023098
Full Text :
https://doi.org/10.1371/journal.pone.0283681