Coupling radiative, conductive and convective heat-transfers in a single Monte Carlo algorithm: A general theoretical framework for linear situations - ENS - École normale supérieure
Article Dans Une Revue PLoS ONE Année : 2023

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

Jean Marc Tregan
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Jean Luc Amestoy
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Laurent Brunel
Christophe Coustet
Vincent Eymet
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Vincent Forest
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Jacques Lluc
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Lionel Pelissier
Lea Penazzi
Benjamin Piaud
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Gisele Roques
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Thomas Saez
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Daniel Yaacoub

Résumé

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.
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Dates et versions

hal-04066139 , version 1 (18-10-2022)
hal-04066139 , version 2 (12-04-2023)

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Jean Marc Tregan, Jean Luc Amestoy, Mégane Bati, Jean-Jacques Bézian, Stéphane Blanco, et al.. Coupling radiative, conductive and convective heat-transfers in a single Monte Carlo algorithm: A general theoretical framework for linear situations. PLoS ONE, 2023, 18 (4), ⟨10.1371/journal.pone.0283681⟩. ⟨hal-04066139v2⟩
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