A generalised multiple mapping conditioning approach for turbulent combustion
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Publication:839553
DOI10.1007/s10494-008-9161-3zbMath1259.76015OpenAlexW2046861572MaRDI QIDQ839553
Alexander Y. Klimenko, Matthew J. Cleary
Publication date: 2 September 2009
Published in: Flow, Turbulence and Combustion (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10494-008-9161-3
Related Items (10)
Lagrangian particles with mixing. II. Sparse-Lagrangian methods in application for turbulent reacting flows ⋮ Conditional dissipation of scalars in homogeneous turbulence: Closure for MMC modelling ⋮ A stochastic multiple mapping conditioning computational model in openfoam for turbulent combustion ⋮ A direct approach to generalised multiple mapping conditioning for selected turbulent diffusion flame cases ⋮ LES-Lagrangian particle method for turbulent reactive flows based on the approximate deconvolution model and mixing model ⋮ Convergence to a model in sparse-Lagrangian FDF simulations ⋮ Transported Probability Density Function Methods for Reynolds-Averaged and Large-Eddy Simulations ⋮ Multiple Mapping Conditioning: A New Modelling Framework for Turbulent Combustion ⋮ Numerical implementation of mixing and molecular transport in LES/PDF studies of turbulent reacting flows ⋮ Non-dimensional energy dissipation rate near the turbulent/non-turbulent interfacial layer in free shear flows and shear free turbulence
Uses Software
Cites Work
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- Micro-mixing modelling of scalar fluctuations for plumes in homogeneous turbulence
- Conditional moment closure for large eddy simulations
- On simulating scalar transport by mixing between Lagrangian particles
- The modeling of turbulent reactive flows based on multiple mapping conditioning
- Matching the conditional variance as a criterion for selecting parameters in the simplest multiple mapping conditioning models
- Conditional filtering method for large-eddy simulation of turbulent nonpremixed combustion
- Testing multiple mapping conditioning mixing for Monte Carlo probability density function simulations
- Probability density function approach for a turbulent axisymmetric heated jet. Centerline evolution
- An Algorithm for Finding Best Matches in Logarithmic Expected Time
- On velocity-conditioned scalar mixing in homogeneous turbulence
- Turbulent Combustion
- On the relationship between stochastic Lagrangian models of turbulence and second-moment closures
- LARGE-EDDY SIMULATION OF TURBULENT COMBUSTION
- Filtered density function for large eddy simulation of turbulent reacting flows
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