A Simple Turbulence Closure Model. Atmospheric Sciences 6150

Similar documents
A Simple Turbulence Closure Model

1 Introduction to Governing Equations 2 1a Methodology... 2

Governing Equations for Turbulent Flow

Candidates must show on each answer book the type of calculator used. Log Tables, Statistical Tables and Graph Paper are available on request.

A Distance Property of the Feuerbach Point and Its Extension

CHAPTER 7 SEVERAL FORMS OF THE EQUATIONS OF MOTION

NONLINEAR FEATURES IN EXPLICIT ALGEBRAIC MODELS FOR TURBULENT FLOWS WITH ACTIVE SCALARS

Lecture 14. Turbulent Combustion. We know what a turbulent flow is, when we see it! it is characterized by disorder, vorticity and mixing.

Turbulence Modeling I!

ESS Turbulence and Diffusion in the Atmospheric Boundary-Layer : Winter 2017: Notes 1

On the validation study devoted to stratified atmospheric flow over an isolated hill

Tutorial School on Fluid Dynamics: Aspects of Turbulence Session I: Refresher Material Instructor: James Wallace

Before we consider two canonical turbulent flows we need a general description of turbulence.

The atmospheric boundary layer: Where the atmosphere meets the surface. The atmospheric boundary layer:

Turbulence Modeling. Cuong Nguyen November 05, The incompressible Navier-Stokes equations in conservation form are u i x i

Modelling of turbulent flows: RANS and LES

Several forms of the equations of motion

Introduction to Turbulence and Turbulence Modeling

τ xz = τ measured close to the the surface (often at z=5m) these three scales represent inner unit or near wall normalization

The Simulation of Wraparound Fins Aerodynamic Characteristics

2. FLUID-FLOW EQUATIONS SPRING 2019

Reynolds Averaging. We separate the dynamical fields into slowly varying mean fields and rapidly varying turbulent components.

Simulations for Enhancing Aerodynamic Designs

Lecture 3. Turbulent fluxes and TKE budgets (Garratt, Ch 2)

Boundary Layer Meteorology. Chapter 2

RANS Equations in Curvilinear Coordinates

meters, we can re-arrange this expression to give

Atm S 547 Boundary Layer Meteorology

Week 6 Notes, Math 865, Tanveer

2 GOVERNING EQUATIONS

Probability density function (PDF) methods 1,2 belong to the broader family of statistical approaches

Introduction of compressible turbulence

Exercise 5: Exact Solutions to the Navier-Stokes Equations I

STRESS TRANSPORT MODELLING 2

Logarithmic velocity profile in the atmospheric (rough wall) boundary layer

Needs work : define boundary conditions and fluxes before, change slides Useful definitions and conservation equations

DIRECT NUMERICAL SIMULATION OF SPATIALLY DEVELOPING TURBULENT BOUNDARY LAYER FOR SKIN FRICTION DRAG REDUCTION BY WALL SURFACE-HEATING OR COOLING

Eulerian models. 2.1 Basic equations

Numerical Heat and Mass Transfer

The Navier-Stokes Equations

Computational Fluid Dynamics 2

2. Conservation Equations for Turbulent Flows

Direct and Large Eddy Simulation of stably stratified turbulent Ekman layers


MATHEMATICAL MODELING AND NUMERICAL SOLUTION OF 3D ATMOSPHERIC BOUNDARY LAYER

JJMIE Jordan Journal of Mechanical and Industrial Engineering

Grid-generated turbulence, drag, internal waves and mixing in stratified fluids

Fluid Dynamics Exercises and questions for the course

Turbulence and its modelling. Outline. Department of Fluid Mechanics, Budapest University of Technology and Economics.

centrifugal acceleration, whose magnitude is r cos, is zero at the poles and maximum at the equator. This distribution of the centrifugal acceleration

ESCI 485 Air/Sea Interaction Lesson 1 Stresses and Fluxes Dr. DeCaria

OpenFOAM selected solver

Process Chemistry Toolbox - Mixing

Centro de Estudos de Fenómenos de Transporte, FEUP & Universidade do Minho, Portugal

Numerical Simulation of Turbulent Buoyant Helium Plume by Algebraic Turbulent Mass Flux Model

Outline: Phenomenology of Wall Bounded Turbulence: Minimal Models First Story: Large Re Neutrally-Stratified (NS) Channel Flow.

EXPLICIT ALGEBRAIC MODELS FOR STRATIFIED FLOWS

Characteristics of Linearly-Forced Scalar Mixing in Homogeneous, Isotropic Turbulence

Coordinate rotation. Bernard Heinesch. Summer school : «eddy covariance flux measurements» Namur July 10th 20th, 2006

Large eddy simulation of turbulent flow over a backward-facing step: effect of inflow conditions

On stably stratified homogeneous shear flows subjected to rotation

Notes on the Turbulence Closure Model for Atmospheric Boundary Layers

An evaluation of a conservative fourth order DNS code in turbulent channel flow

Explicit algebraic Reynolds stress models for boundary layer flows

1 The Richardson Number 1 1a Flux Richardson Number b Gradient Richardson Number c Bulk Richardson Number The Obukhov Length 3

An Introduction to Theories of Turbulence. James Glimm Stony Brook University

Colloquium FLUID DYNAMICS 2012 Institute of Thermomechanics AS CR, v.v.i., Prague, October 24-26, 2012 p.

Modeling Complex Flows! Direct Numerical Simulations! Computational Fluid Dynamics!

Numerical Methods in Aerodynamics. Turbulence Modeling. Lecture 5: Turbulence modeling

Collapse of turbulence in atmospheric flows turbulent potential energy budgets in a stably stratified couette flow

Chapter 7 The Time-Dependent Navier-Stokes Equations Turbulent Flows

Regularization modeling of turbulent mixing; sweeping the scales

Engineering. Spring Department of Fluid Mechanics, Budapest University of Technology and Economics. Large-Eddy Simulation in Mechanical

Accretion Disks I. High Energy Astrophysics: Accretion Disks I 1/60

LARGE EDDY SIMULATION OF MASS TRANSFER ACROSS AN AIR-WATER INTERFACE AT HIGH SCHMIDT NUMBERS

AE/ME 339. K. M. Isaac Professor of Aerospace Engineering. 12/21/01 topic7_ns_equations 1

A Discussion on The Effect of Mesh Resolution on Convective Boundary Layer Statistics and Structures Generated by Large-Eddy Simulation by Sullivan

The Johns Hopkins Turbulence Databases (JHTDB)

The mean shear stress has both viscous and turbulent parts. In simple shear (i.e. U / y the only non-zero mean gradient):

BOUNDARY-LAYER METEOROLOGY

Energy spectrum of isotropic magnetohydrodynamic turbulence in the Lagrangian renormalized approximation

6 VORTICITY DYNAMICS 41

6A.3 Stably stratified boundary layer simulations with a non-local closure model

Buoyancy Fluxes in a Stratified Fluid

Generation of artificial inflow turbulence including scalar fluctuation for LES based on Cholesky decomposition

Automatic Eddy Viscosity Assignment for 2-D Hydrodynamic Model of Szczecin Bay

Governing Equations of Fluid Dynamics

n i,j+1/2 q i,j * qi+1,j * S i+1/2,j

6.2 Governing Equations for Natural Convection

Lesson 6 Review of fundamentals: Fluid flow

Analytical Study of Volumetric Scroll Pump for Liquid Hydrogen Circulating System

Chapter 8 Flow in Conduits

7. TURBULENCE SPRING 2019

MODELLING TURBULENT HEAT FLUXES USING THE ELLIPTIC BLENDING APPROACH FOR NATURAL CONVECTION

Turbulence. 2. Reynolds number is an indicator for turbulence in a fluid stream

M E 320 Professor John M. Cimbala Lecture 10

Recursion operators of some equations of hydrodynamic type

FMIA. Fluid Mechanics and Its Applications 113 Series Editor: A. Thess. Moukalled Mangani Darwish. F. Moukalled L. Mangani M.

Estimation of State Noise for the Ensemble Kalman filter algorithm for 2D shallow water equations.

CHAPTER 8 ENTROPY GENERATION AND TRANSPORT

Transcription:

A Simple Turbulence Closure Model Atmospheric Sciences 6150

1 Cartesian Tensor Notation Reynolds decomposition of velocity: V = V + v V = U i + u i Mean velocity: V = Ui + V j + W k =(U, V, W ) U i =(U 1,U 2,U 3 ) Turbulent velocity: v = ui + vj + wk =(u, v, w) u i =(u 1,u 2,u 3 )

v = ui + vj + wk =(u, v, w) u i =(u 1,u 2,u 3 ) Gradient operator: Advection operator: = x, y, z =, x k x 1 x 2, x 3 V = U x + V y + W z U k = U 1 + U 2 + U 3 x k x 1 x 2 x 3 The covariance matrix is a tensor of rank 2: uu uv uw vu vv vw u i u j = wu wv ww u 1 u 1 u 1 u 2 u 1 u 3 u 2 u 1 u 2 u 2 u 2 u 3 u 3 u 1 u 3 u 2 u 3 u 3

Turbulent kinetic energy, e = q 2 /2, and summation over repeated indices: q 2 = uu + vv + ww q 2 = u i u i = u 1 u 1 + u 2 u 2 + u 3 u 3 A tensor of rank 3: uuu uuv uuw uvu uvv uvw, uwu uwv uww = u 1 u 1 u 1 u 1 u 1 u 2 u 1 u 1 u 3 u 1 u 2 u 1 u 1 u 2 u 2 u 1 u 2 u 3 u 1 u 3 u 1 u 1 u 3 u 2 u 1 u 3 u 3 vuu vuv vuw vvu vvv vvw vwu vwv vww, u i u j u k =(u 1 u j u k, u 2 u j u k, u 3 u j u k ) u 2 u 1 u 1 u 2 u 1 u 2 u 2 u 1 u 3, u 2 u 2 u 1 u 2 u 2 u 2 u 2 u 2 u 3 u 2 u 3 u 1 u 2 u 3 u 2 u 2 u 3 u 3 wuu wuv wuw wvu wvv wvw wwu wwv www, u 3 u 1 u 1 u 3 u 1 u 2 u 3 u 1 u 3 u 3 u 2 u 1 u 3 u 2 u 2 u 3 u 2 u 3 u 3 u 3 u 1 u 3 u 3 u 2 u 3 u 3 u 3

Kronecker delta: First moments of velocity (3 unique): 1 i = j δ ij = 0 i = j Second moments of velocity (9, 6 are unique): U i u i u j Third moments of velocity (27,? are unique): u i u j u k

2 The Closure Problem The additional term is due to momentum transport by the turbulent velocity fluctuations. The momentum equation for a homogeeous incompressible fluid at high Re is V t Decompose variables into means and deviations: p + V V = + ν 2 V. (1) ρ 0 Substitute into (1) and average: V = U i + u i p = P + p U j t + U U j k = p x k x k ρ 0 u ku j x k + ν 2 U j. (2)

One way to close the equations is to assume that Uk u k u j = K m + U j. x j x k This is the eddy viscosity model. However, K m is a property of the flow, not of the fluid (as viscosity is), and is not necessarily a constant (as viscosity is). This type of model is generally poor in the atmosphere. Another way to close the equations is to derive equations for the Reynolds stresses, u k u j, and to make assumptions for the unknown terms in these equations in order to close the set of equations. This is a second-moment (or second-order) closure model.

3 Closure Models

4 A Simple Turbulence Closure Model We use the eddy viscosity model for the turbulent fluxes. We set the eddy viscosity K m to be proportional to the turbulence velocity scale q times a turbulence length scale l. This allows K m to depend on the turbulence properties, which is a more realistic than using a constant K m. Unknown turbulent fluxes u i u j (momentum) u i θ (any scalar) Modeling assumption q 2 3 δ Ui ij ql 1 + U j x j x i Θ ql 2 x i

To close these models for the turbulent fluxes, we require an equation for q 2 u i u i. To do this, we start with the full equation for q 2 : dq 2 dt = u iu i u j x j 2 pu j ρ x j 2u i u j U i x j +2 g i Θ u iθ v 2. The terms on the r.h.s. of this equation represent turbulent transport, pressure transport, shear (mechanical) production, buoyancy production (or loss), and dissipation, respectively. To close this equation we 1. Assume that production and dissipation balance: 2. Use the models above for the fluxes. 0=SP + BP D. 3. Model dissipation using = q3 Λ 1.

1 The result is where q 2 =Λ 1 l 1 S ij U i x j l 2 l 1 g i Θ S ij U i x j + U j x i Θ v, x i (3)

Let l 1 = A 1 l, l 2 = A 2 l, and Λ 1 = B 1 l, where l is the turbulence length scale. A 1 =0.92, A 2 =0.74, and B 1 = 16.6 are constants determined from experiments. Many prescriptions for the turbulent length scale l exist. The only definite constraint is that l kz near the surface so that K m = ku z under neutral conditions. One commonly used form is l l = 1+l /kz, where the asymptotic length scale l is specified to be about 10 percent of the boundary layer depth. The specification of l is usually not very critical.

5 Richardson Number Dependence Equation (3) includes the effects of stratification, so it should exhibit a dependence on Richardson number. To show this, we will first simplify (3) by making the boundary layer approximation: Then only and are nonzero, so Also, U 3 =0, S ij U i x j = x 1 = x 2 =0. S 13 = S 31 = U 1 x 3 S 23 = S 32 = U 2 x 3 2 2 U1 U2 +. x 3 x 3 g i Θ v Θ x i Using these simplifications in (3), we obtain q 2 =Λ 1 l 1 U1 x 3 = g Θ v. Θ x 3 2 U2 + x 3 2 l 2 l 1 g Θ Θ v x 3. (4)

The condition for q 2 > 0 is therefore 2 2 U1 U2 + l 2 g Θ v > 0. x 3 x 3 l 1 Θ x 3 Write this in terms of a gradient Richardson number Ri: or l 1 l 2 > g Θ v Θ x 3 U1 x 3 2 + U2 x 3 2 Ri Ri < l 1 l 2 = A 1l A 2 l = A 1 A 2 = 0.92 0.74 =1.24.

Theoretical and laboratory results suggest that laminar flow becomes turbulent when Ri < 0.25, and that turbulent flow becomes laminar when Ri > 1. These are local criteria. Even if Ri > 1 when estimated using resolved variables, it may be < 1 locally within a grid volume.

6 Performance This simple closure model works best when its assumption of a local balance between production and dissipation is most nearly met. This condition is most likely to be valid when and where shear production dominates buoyancy production.