In fluid dynamics, turbulence modeling is the construction and use of a mathematical model to predict the effects of turbulence. Turbulent flows are commonplace...

K-epsilon (k-ε) turbulence model is one of the most common models used in computational fluid dynamics (CFD) to simulate mean flow characteristics for...

computational fluid dynamics, the k–omega (k–ω) turbulence model is a common two-equation turbulence model, that is used as an approximation for the Reynolds-averaged...

system being modeled. For turbulent flows, the range of length scales and complexity of phenomena involved in turbulence make most modeling approaches prohibitively...

stress equation model (RSM), also referred to as second moment closures are the most complete classical turbulence model. In these models, the eddy-viscosity...

In fluid dynamics, turbulence or turbulent flow is fluid motion characterized by chaotic changes in pressure and flow velocity. It is in contrast to laminar...

born American fluid dynamicist, known for his work on turbulence, including turbulence modeling and computational fluid dynamics. Charles Meneveau, the...

gamma-Re transition model has two equations and is based on the two-equation turbulence models in the context of turbulence modeling. This way both local...

The von Kármán wind turbulence model (also known as von Kármán gusts) is a mathematical model of continuous gusts. It matches observed continuous gusts...

Spalart-Allmaras Turbulence Models? from kxcad.net The Spalart-Allmaras Turbulence Model at NASA's Langley Research Center Turbulence Modelling Resource site...

The Dryden wind turbulence model, also known as Dryden gusts, is a mathematical model of continuous gusts accepted for use by the United States Department...

requires additional modeling to close the RANS equation for solving, and has led to the creation of many different turbulence models. The time-average operator...

Large eddy simulation (LES) is a mathematical model for turbulence used in computational fluid dynamics. It was initially proposed in 1963 by Joseph Smagorinsky...

Navier Stokes equations, the turbulence kinetic energy can be calculated based on the closure method, i.e. a turbulence model. The TKE can be defined to...

C., 1998. Turbulence Modeling for CFD. ISBN 1-928729-10-X, 2nd Ed., DCW Industries, Inc. This article was based on the Cebeci Smith model article in...

numerically solved without any turbulence model. This means that the whole range of spatial and temporal scales of the turbulence must be resolved. All the...

In meteorology, clear-air turbulence (CAT) is the turbulent movement of air masses in the absence of any visual clues such as clouds, and is caused when...

Transition modeling is the use of a model to predict the change from laminar and turbulent flows in fluids and their respective effects on the overall...

particle model used to study turbulence in two-dimensional ideal fluids. The two-dimensional guiding-center plasma is a completely equivalent model used in...

Transport turbulence model, or SST, is a widely used and robust two-equation eddy-viscosity turbulence model used in Computational Fluid Dynamics. The model combines...

wave Turbulence modeling Turbulence kinetic energy (TKE) K-epsilon turbulence model k–omega turbulence model Spalart–Allmaras turbulence model Vorticity...

averaged over time, and the effects of the turbulence on the time-averaged flow represented by turbulence modeling (an additional set of equations based on...

Magnetohydrodynamic turbulence concerns the chaotic regimes of magnetofluid flow at high Reynolds number. Magnetohydrodynamics (MHD) deals with what is...

models of hydrostatics, hydrodynamics and aerodynamics. Hydraulics Elasticity Mechanical waves and acoustics Valves and fluidics Gas laws Turbulence modeling...

all channel flow scenarios. The dynamic wave is used for modeling transient storms in modeling programs including Mascaret (EDF), SIC (Irstea), HEC-RAS...

simulations are often undertaken to model wake flows, although such modeling has uncertainties associated with turbulence modeling (for example RANS versus LES...

SST, k-omega and Reynolds stress, and large eddy simulation (LES) turbulence models, by numerically solving some dynamic equations such as the Ginzburg–Landau...

the RNG k–ε model for liquid turbulence[citation needed]. Several approaches have been carried out, including single-sized bubble modeling, double-sized...

tensorial algebra purposes when solving for two-equation turbulence models (or any other turbulence model that solves a transport equation for  κ {\displaystyle...

} with ρ the fluid density. The Kármán constant is often used in turbulence modeling, for instance in boundary-layer meteorology to calculate fluxes of...