Comparison of Monte Carlo Methods Efficiency to Solve Radiative Energy Transfer in High Fidelity Unsteady 3D Simulations - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2017

Comparison of Monte Carlo Methods Efficiency to Solve Radiative Energy Transfer in High Fidelity Unsteady 3D Simulations

Résumé

The present work assesses different Monte Carlo methods in radiative heat transfer problems, in terms of accuracy and computational cost. Achieving a high scalability on numerous CPUs with the conventional forward Monte Carlo method is not straightforward. The Emission-based Reciprocity Monte Carlo Method (ERM) allows to treat each mesh point independently from the others with a local monitoring of the statistical error, becoming a perfect candidate for high-scalability. ERM is however penalized by a slow statistical convergence in cold absorbing regions. This limitation has been overcome by an Optimized ERM (OERM) using a frequency distribution function based on the emission distribution at the maximum temperature of the system. Another approach to enhance the convergence is the use of low-discrepancy sampling. The obtained Quasi-Monte Carlo method is combined with OERM. The efficiency of the considered Monte-Carlo methods are compared. NOMENCLATURE DNS Direct Numerical Simulation FM Forward Method I Radiative intensity [W sr −1 m −2 ]
Fichier principal
Vignette du fichier
asmeLorellaFinalV_version_raw.pdf (3.45 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01781006 , version 1 (28-04-2018)

Identifiants

Citer

Lorella Palluotto, Nicolas Dumont, Pedro Rodrigues, Chai Koren, Ronan Vicquelin, et al.. Comparison of Monte Carlo Methods Efficiency to Solve Radiative Energy Transfer in High Fidelity Unsteady 3D Simulations. ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition, Jun 2017, Charlotte, North Carolina, United States. ⟨10.1115/GT2017-64179⟩. ⟨hal-01781006⟩
127 Consultations
174 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More