Efficient parallelization of RMCRT for large scale LES combustion simulations

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Publication Type presentation
Research Institute Institute for Clean and Secure Energy (ICSE)
Author Hunsaker, I.
Other Author Harman, Todd; Thornock, Jeremy; Smith, Philip J.; Hunsaker, Isaac
Title Efficient parallelization of RMCRT for large scale LES combustion simulations
Date 2011-06
Description At the high temperatures inherent to combustion systems, radiation is the dominant mode of heat transfer. An accurate simulation of a combustor therefore requires precise treatment of radiative heat transfer. This is accomplished by calculating the radiative-flux divergence at each cell of the discretized domain. Reverse Monte Carlo Ray Tracing (RMCRT) is one of the few numerical techniques that can accurately solve for the radiative-flux divergence while accounting, in an efficient manner, for the effects of participating media. Furthermore, RMCRT lends itself to massive parallelism because the intensities of each ray are mutually exclusive. Therefore, multiple rays can be traced simultaneously at any given time step. We have created a parallelized RMCRT algorithm that solves for the radiative-flux divergence in combustion systems. This algorithm has been verified against a 3D benchmark case involving participating media. The error of this algorithm converges with an increase in the number of rays traced per cell, such that at 700 rays per cell, the L2 error norm of a 413 mesh is 0.49%. Our algorithm demonstrates strong scaling when run in parallel on 2 to 1536 processors for domains of 1283 and 2563 cells.
Type Text
Subject monte carlo; RMCRT; parallelization; large scale LES combustion; combustion simulations; radiation
Language eng
Conference Title 20th AIAA Computational Fluid Dynamics Conference, June 27-30, 2011, Honolulu, Hawaii
Bibliographic Citation Hunsaker, I., Harman, T., Thornock, J., Smith, P. J. (2011). Efficient parallelization of RMCRT for large scale LES combustion simulations. Paper No. AIAA 2011-3770, 20th AIAA Computational Fluid Dynamics Conference, June 27-30, 2011, Honolulu, Hawaii.
ARK ark:/87278/s6bp320g
Setname ir_eua
ID 214357
Reference URL https://collections.lib.utah.edu/ark:/87278/s6bp320g