Testing multiple mapping conditioning mixing for Monte Carlo probability density function simulations

Wandel, Andrew P. ORCID: https://orcid.org/0000-0002-7677-7129 and Klimenko, Alexander Y. (2005) Testing multiple mapping conditioning mixing for Monte Carlo probability density function simulations. Physics of Fluids, 17 (12). pp. 128105-1. ISSN 1070-6631


Official URL: http://ojps.aip.org/phf

Abstract

Mitarai et al. [Phys. Fluids 17, 047101 (2005)] compared turbulent combustion models against homogeneous direct numerical simulations with extinction/recognition phenomena. The recently suggested multiple mapping conditioning (MMC) was not considered and is simulated here for the same case with favorable results. Implementation issues crucial for successful MMC simulations are also discussed


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Author's version not held.
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Mechanical and Mechatronic Engineering (Up to 30 Jun 2013)
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Mechanical and Mechatronic Engineering (Up to 30 Jun 2013)
Date Deposited: 15 Apr 2010 00:26
Last Modified: 02 Jul 2013 23:46
Uncontrolled Keywords: turbulence; combustion; fluid mechanics; Monte Carlo method; numerical analysis; probabilities; simulation methods
Fields of Research (2008): 09 Engineering > 0915 Interdisciplinary Engineering > 091505 Heat and Mass Transfer Operations
09 Engineering > 0915 Interdisciplinary Engineering > 091504 Fluidisation and Fluid Mechanics
Fields of Research (2020): 40 ENGINEERING > 4012 Fluid mechanics and thermal engineering > 401205 Experimental methods in fluid flow, heat and mass transfer
40 ENGINEERING > 4012 Fluid mechanics and thermal engineering > 401299 Fluid mechanics and thermal engineering not elsewhere classified
Socio-Economic Objectives (2008): E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: https://doi.org/10.1063/1.2147609
URI: http://eprints.usq.edu.au/id/eprint/7384

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