Wandel, Andrew P. and Lindstedt, R. Peter (2009) Hybrid binomial Langevin-multiple mapping conditioning modeling of a reacting mixing layer. Physics of Fluids, 21 (1). 015103-015116. ISSN 1070-6631
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A novel, stochastic, hybrid binomial Langevin-multiple mapping conditioning (MMC) model—that utilizes the strengths of each component—has been developed for inhomogeneous flows. The implementation has the advantage of naturally incorporating velocity-scalar interactions through the binomial Langevin model and using this joint probability density function (PDF) to define a reference variable for the MMC part of the model. The approach has the advantage that the difficulties encountered with the binomial Langevin model in modeling scalars with nonelementary bounds are removed. The formulation of the closure leads to locality in scalar space and permits the use of simple approaches (e.g., the modified Curl’s model) for transport in the reference space. The overall closure was evaluated through application to a chemically reacting mixing layer. The results show encouraging comparisons with experimental data for the first two moments of the PDF and plausible results for higher moments at a relatively modest computational cost.
|Item Type:||Article (Commonwealth Reporting Category C)|
|Additional Information:||Author's version deposited in accordance with the copyright policy of the publisher (American Institute of Physics).|
|Uncontrolled Keywords:||hybrid binomial Langevin-multiple mapping conditioning model|
|Subjects:||290000 Engineering and Technology > 290500 Mechanical and Industrial Engineering > 290501 Mechanical Engineering
290000 Engineering and Technology > 291800 Interdisciplinary Engineering > 291803 Turbulent Flows
290000 Engineering and Technology > 291800 Interdisciplinary Engineering > 291802 Heat and Mass Transfer Operations
|Depositing User:||Dr Andrew Wandel|
|Date Deposited:||17 Mar 2010 12:27|
|Last Modified:||02 Jul 2013 23:33|
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