Matching the conditional variance as a criterion for selecting parameters in the simplest multiple mapping conditioning models
From MaRDI portal
Publication:3554782
DOI10.1063/1.1803742zbMath1187.76276OpenAlexW2168808682MaRDI QIDQ3554782
Publication date: 22 April 2010
Published in: Physics of Fluids (Search for Journal in Brave)
Full work available at URL: https://semanticscholar.org/paper/35eb7a3c325b815d72ae236c7fcfa5613028142c
Related Items (8)
A generalised multiple mapping conditioning approach for turbulent combustion ⋮ Lagrangian particles with mixing. II. Sparse-Lagrangian methods in application for turbulent reacting flows ⋮ Effects of viscoelasticity on the probability density functions in turbulent channel flow ⋮ Conditional dissipation of scalars in homogeneous turbulence: Closure for MMC modelling ⋮ A direct approach to generalised multiple mapping conditioning for selected turbulent diffusion flame cases ⋮ Transported Probability Density Function Methods for Reynolds-Averaged and Large-Eddy Simulations ⋮ Multiple Mapping Conditioning: A New Modelling Framework for Turbulent Combustion ⋮ Testing multiple mapping conditioning mixing for Monte Carlo probability density function simulations
Cites Work
- Conditional moment closure and large-scale fluctuations of scalar dissipation
- Study of the conditional covariance and variance equations for second order conditional moment closure
- The modeling of turbulent reactive flows based on multiple mapping conditioning
- On the conditional variance and covariance equations for second-order conditional moment closure
- On the inverse parabolicity of pdf equations in turbulent flows
This page was built for publication: Matching the conditional variance as a criterion for selecting parameters in the simplest multiple mapping conditioning models
