Boundary layer flows The logarithmic law of the wall Mixing length model for turbulent viscosity

Similar documents
DAY 19: Boundary Layer

Boundary-Layer Theory

Masters in Mechanical Engineering. Problems of incompressible viscous flow. 2µ dx y(y h)+ U h y 0 < y < h,

Turbulence - Theory and Modelling GROUP-STUDIES:

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

4.2 Concepts of the Boundary Layer Theory

AER1310: TURBULENCE MODELLING 1. Introduction to Turbulent Flows C. P. T. Groth c Oxford Dictionary: disturbance, commotion, varying irregularly

2.3 The Turbulent Flat Plate Boundary Layer

Turbulence Laboratory

Transport processes. 7. Semester Chemical Engineering Civil Engineering

Turbulent Boundary Layers & Turbulence Models. Lecture 09

A combined application of the integral wall model and the rough wall rescaling-recycling method

Turbulence Modeling I!

Principles of Convection

7.6 Example von Kármán s Laminar Boundary Layer Problem

Implementation of advanced algebraic turbulence models on a staggered grid

Chapter 8 Flow in Conduits

Turbulent boundary layer

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

FLUID MECHANICS. Chapter 9 Flow over Immersed Bodies


Fluid Mechanics II Viscosity and shear stresses

1. Introduction, tensors, kinematics

Table of Contents. Foreword... xiii. Preface... xv

Turbulence modelling. Sørensen, Niels N. Publication date: Link back to DTU Orbit

Fundamentals of Fluid Dynamics: Elementary Viscous Flow

6.2 Governing Equations for Natural Convection

Numerical Heat and Mass Transfer

High Reynolds-Number Scaling of Channel & Pipe Flow

Chapter 6 An introduction of turbulent boundary layer

Laminar and Turbulent developing flow with/without heat transfer over a flat plate

CONVECTIVE HEAT TRANSFER

Turbulence Solutions

Mean flow structure of non-equilibrium boundary layers with adverse pressure gradient

ZPG TBLs - Results PhD defense - Kapil Chauhan Preliminaries ZPG TBLs PG TBLs

Comparison of Turbulence Models in the Flow over a Backward-Facing Step Priscila Pires Araujo 1, André Luiz Tenório Rezende 2

BOUNDARY LAYER ANALYSIS WITH NAVIER-STOKES EQUATION IN 2D CHANNEL FLOW

Publication 97/2. An Introduction to Turbulence Models. Lars Davidson, lada

CHAPTER 4 BOUNDARY LAYER FLOW APPLICATION TO EXTERNAL FLOW

Chapter 9 Flow over Immersed Bodies

Numerical Heat and Mass Transfer

5.8 Laminar Boundary Layers

Direct numerical simulation of self-similar turbulent boundary layers in adverse pressure gradients

Turbulence is a ubiquitous phenomenon in environmental fluid mechanics that dramatically affects flow structure and mixing.

Laminar Flow. Chapter ZERO PRESSURE GRADIENT

Fundamental Concepts of Convection : Flow and Thermal Considerations. Chapter Six and Appendix D Sections 6.1 through 6.8 and D.1 through D.

arxiv:physics/ v2 [physics.flu-dyn] 3 Jul 2007

Unit operations of chemical engineering

7. Basics of Turbulent Flow Figure 1.

ρ t + (ρu j ) = 0 (2.1) x j +U j = 0 (2.3) ρ +ρ U j ρ

Computational Fluid Dynamics 2

Turbulence: Basic Physics and Engineering Modeling

Manhar Dhanak Florida Atlantic University Graduate Student: Zaqie Reza

BOUNDARY LAYER FLOWS HINCHEY

External Flows. Dye streak. turbulent. laminar transition

MOMENTUM TRANSPORT Velocity Distributions in Turbulent Flow

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

What is Turbulence? Fabian Waleffe. Depts of Mathematics and Engineering Physics University of Wisconsin, Madison

External Flow and Boundary Layer Concepts

6. Laminar and turbulent boundary layers

9. Boundary layers. Flow around an arbitrarily-shaped bluff body. Inner flow (strong viscous effects produce vorticity) BL separates

Chapter 9: Differential Analysis of Fluid Flow

Numerical and Experimental Results

Fluid Mechanics. Chapter 9 Surface Resistance. Dr. Amer Khalil Ababneh

Introduction to Turbulence AEEM Why study turbulent flows?

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

Homework #4 Solution. μ 1. μ 2

Chapter 9: Differential Analysis

Masters in Mechanical Engineering Aerodynamics 1 st Semester 2015/16

Calculations on a heated cylinder case

Wall turbulence with arbitrary mean velocity profiles

Summary of Dimensionless Numbers of Fluid Mechanics and Heat Transfer

Chapter 1: Basic Concepts

AA214B: NUMERICAL METHODS FOR COMPRESSIBLE FLOWS

B.1 NAVIER STOKES EQUATION AND REYNOLDS NUMBER. = UL ν. Re = U ρ f L μ

7. TURBULENCE SPRING 2019

Chapter 9 Flow over Immersed Bodies

OE4625 Dredge Pumps and Slurry Transport. Vaclav Matousek October 13, 2004

A theory for turbulent pipe and channel flows

Sediment continuity: how to model sedimentary processes?

15. Physics of Sediment Transport William Wilcock

Eddy viscosity. AdOc 4060/5060 Spring 2013 Chris Jenkins. Turbulence (video 1hr):

Introduction to Turbulence and Turbulence Modeling

Turbulent eddies in the RANS/LES transition region

HEAT TRANSFER BY CONVECTION. Dr. Şaziye Balku 1

There are no simple turbulent flows

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

Experimental Investigation of Wall Shear Stress Modifications due to Turbulent Flow over an Ablative Thermal Protection System Analog Surface

Turbulent drag reduction by streamwise traveling waves

Flow Transition in Plane Couette Flow

ABSTRACT OF ONE-EQUATION NEAR-WALL TURBULENCE MODELS. Ricardo Heinrich Diaz, Doctor of Philosophy, 2003

Fluid Mechanics Prof. T.I. Eldho Department of Civil Engineering Indian Institute of Technology, Bombay. Lecture - 17 Laminar and Turbulent flows

Convection. forced convection when the flow is caused by external means, such as by a fan, a pump, or atmospheric winds.

TME225 Learning outcomes 2018: week 1

arxiv:math-ph/ v2 16 Feb 2000

Contents. Microfluidics - Jens Ducrée Physics: Laminar and Turbulent Flow 1

Contribution of Reynolds stress distribution to the skin friction in wall-bounded flows

Part I: Overview of modeling concepts and techniques Part II: Modeling neutrally stratified boundary layer flows

Studies on flow through and around a porous permeable sphere: II. Heat Transfer

INFLUENCE OF THE BOUNDARY CONDITIONS ON A TEMPERATURE FIELD IN THE TURBULENT FLOW NEAR THE HEATED WALL

Transcription:

Boundary layer flows The logarithmic law of the wall Mixing length model for turbulent viscosity Tobias Knopp D 23. November 28

Reynolds averaged Navier-Stokes equations Consider the RANS equations with the eddy-viscosity hypothesis by Boussinesq ( U U) = 1 P ρ + ( 2 (ν + ν t ) S( U) ) U = Lagrangian theory of turbulent mixing and the Langevin equation motivate that ν t = u 2 l turb u 2 : root mean square (r.m.s.) fluctuation velocity l turb : correlation length of the turbulence First goal: Find operational formula for ν t for generic flow situations (boundary layer, free shear layer,...)

1 11 11 1 11 1 111111111111111111111111111 1 11 11 1 11 1 111111111111111111111111111 obias Knopp Boundary layer flows fully developed channel flow fully developed flat-plate boundary layer flow... is a generic geometry for flow over an airfoil... y z x y=2h flow y= y z x flow

Turbulent channel flow This leads us to the following boundary value problem for U(y) and u v ( d u dy v ν du ) dy = u2 τ H U y= =, = 1 dp ρ dx du dy y=h = u v y= =, u v y=h = Note: The constant right hand side term given is determined by the externally prescribed pressure gradient The pressure gradient may be simply imposed by the pressure drop between channel inlet and channel outlet and the length of the channel Since there are more unknown quantities than equations, this problem is unclosed.

Turbulent channel flow Illustration of matching of inner layer and outer layer solution and existance of an overlap region the inner solution satisfies the b.c. at y =, but not at y = H the outer solution satisfies the b.c. at y = H, but not at y = there exists an overlap region, where inner and outer solution coincide y + = y u τ ν η = y/h overlap region y + oo η

Turbulent channel flow Using scaling arguments, we have derived the following forms for U Outer layer : Inner layer : du dy du dy = u τ df H dη = u2 τ ν df dy + For sufficiently high Re τ, the limits y + and η can be taken simultaneously. This implies the existence of a region of overlap or a matched layer. u τ df H dη = u2 τ ν On multiplication by y/u τ this becomes or y df H dη η df dη = yu τ ν df dy + df dy + = y + df dy + = 1 κ

Turbulent channel flow Viscous sublayer (y + 5) u + = y + In the inertial sublayer or log-layer or overlap-region (y + 4, η.2) F (η) = 1 log(η) + const if η 1 κ f (y + ) = 1 κ log(y + ) + const if 1 y + u v = u 2 τ if y + 1

Structure of the turbulent boundary layer 3 law of the wake 2 1 viscous sublayer u + = y + log layer u + = 1/κ log(y + ) + C 1 1 1

Ludwig Prandtl (1925) proposed Mixing length model u v = ν t U y using an algebraic model for the so-called turbulent viscosity ν t ν t = ν t ( U/ y, y) Substitution into the equilibrium stress balance equation gives nonlinear diffusion-type problem in wall normal direction ( (ν + ν t ) U ) = y y In the near-wall region: the dominant transport process of momentum is due to diffusion in wall-normal direction. Two sources of wall-normal diffusion, viz., laminar diffusion due to the thermal random motion turbulent diffusion due to the turbulent fluctuations

Mixing length model The Langevin equation motivates that ν t = u 2 l turb We have seen that in the log-layer u v uτ 2. = Ansatz u 2 = u τ l turb : correlation length of the turbulence. = Ansatz l turb = κy u v = ν t U y, ν t = u τ κy Note that due to the no-slip condition u v = at the wall.

Mixing length model Integration of the equilibrium stress balance equation from y = to y = y gives y ( (ν + ν t ) U ) dy = (ν + ν t ) U y y y y ν U y y= as ν t = u τ κy vanishes at the wall y = ; and hence (ν + ν t ) U y y = ν U y y= τ w ρ

Using universal coordinates Mixing length model u + = U, y + = yu τ u τ ν, ν+ t = ν t ν Then the chain rule for differentiation gives (ν + ν t ) U u + y + u + y + y (ν + ν t ) u2 τ u + ν y + (ν + ν t ) u + ν = τ w ρ = τ w ρ y + = 1 τ w uτ 2 ρ (1 + ν + t ) u+ y + = 1 In universal coordinates, Prandtl s model for ν t becomes ν t + = ν t ν = κu τ y = κy + ν

Mixing length model Derivation of logarithmic law of the wall (1 + ν + t ) u+ y + = 1 u + y + = 1 1 + ν t + u + y + = 1 1 + κy + 1 κy + u + = 1 κ ln(y + ) + C Model needs modification in the viscous sublayer to ensure u + = y + in the outer part of the boundary layer (law-of-the-wake region) in particular: proper transition to inviscid free-stream flow First algebraic turbulence model by Cebeci & Smith (1968)

Prandlt s friction law for smooth pipes Historically, for pipe flow drag is expressed in tems of the so-called friction factor D p f = L 1 2 ρu2 bulk p is the drop in pressure over an axial distance L, D is the diameter of the pipe u bulk is the bulk velocity Relation between friction factor f and skin friction coefficient c f flow f = 4c f for pipe

Prandlt s friction law for smooth pipes Since ln(x)dx = x ln(x) x we obtain where r + = r u τ /ν. The relation f = 4c f u bulk = 1 r U(y)dy r = u τ κr = u τ κr = ν κr = ν r r + r + log ( yuτ ) + κcdy ν ( log(y + ) + κc ) ν u τ dy + ( log(y + ) + κc ) dy + [ y + log(y + ) y + + κcy +] r κr = ν ( r + κr log(r + ) r + + κcr + ) gives us u bulk u τ = 2 c f = 8 f +

Prandlt s friction law for smooth pipes u bulk u τ 8 f 8 f 8 f 8 f = 1 ν ( r + κ u τ r log(r + ) r + + κcr + ) = 1 ( ( r u ) ) τ log 1 + κc κ ν = 1 ( ( ) ) ru u bulk u τ log 1 + κc κ ν u bulk ( ( = 1 ) ) f log Re 1 + κc κ 8 ( ( = 1 ) ) f log Re 1 + κc κ 8 or 1 f = 1 ( 2 2κ log Re ) f (3 + 5 log 2 2κB) 4 2κ

Prandlt s friction law for smooth pipes Aim: Functional dependence for the friction factor f as a function of bulk Reynolds number Re Hagen-Poiseuille friction law for laminar flow: f = 64/Re Fully developed turbulent pipe flow: Prandtl s friction law

Algebraic models for boundary layer flows. No-slip condition at the wall implies u v = u v and hence ν t are much smaller for y+ 1 then predicted by the Prandtl relation. Effect called blocking: Mixing in the direction normal to the wall is suppressed because the wall is impermeable and viscous v y 2 decreases much slower than u y. This effect is modelled by reducing ν t very close to the wall Van Driest: ν t = [ ( )] κy 1. e y + 2 /26 U y Using a Taylor series expansion for the van Driest damping function «u v du 2 «= ν t dy = κ2 y 2 1 e y+ /26 du 2 κ 2 y 2 1 1 + y +! 2 dy 26 + O((y + ) 2 ) y 4

Algebraic models for boundary layer flows Clauser 1956: proper form of the eddy viscosity in the defect layer. Idea: application of mixing length concept also to wake flows (originally also by Prandtl, 1925) ν t = αu e δ U e is the velocity at the edge of the layer and δ is called the displacement thickness and α is a closure coefficient. displacement and momentum thickness of a boundary layer: the total flux of mass and momentum is reduced due to the presence of the wall by the amount θu 2 = δ U = U(y) (U U(y)) dy (U U(y))dy

Algebraic models for boundary layer flows Corrsin and Kistler (1954) and Klebanoff (1954) corollary result of their experimental studies on intermittency. approaching the freestream from within the boundary layer, the flow is sometimes laminar and sometimes turbulent, i.e., it is intermittent. The eddy viscosity should be multiplied by [ ( y ) ] 6 F Kleb (y, δ 99 ) = 1 + 5.5 1 δ

Cebeci-Smith model (1967) The Cebeci-Smith model is a two-layer model { ν t,in : y y m ν t = ν t,out : y y m where y m is the smallest value of y for which ν t,in = ν t,out. [ ( U ) 2 ( ) ] 2 1/2 V ν t,in = lm 2 +, l m = κy (1 e y + /A +) y x with ν t,out = αu e δ F Kleb (y, δ) ( κ =.4, α =.168, A + = 26 1 + y 1 ρuτ 2 ) 1/2 dp dx U e is the boundary layer edge velocity δ v is the displacement thickness

Cebeci-Smith model (1967) ν t,in = l 2 m [ ( U y ν t,out = αu e δ F Kleb (y, δ) ) 2 ( ) ] 2 1/2 V +, l m = κy (1 e y + /A +) x Using this model in a computed code requires a data-structure which permits to, starting at each wall node, to assess all nodes on the ray in wall normal direction, at least inside the boundary layer. Computation of δ For each node on the ray, we need to access the corresponding first node above the wall since u τ is computed there. Typically, mathcing point will lie at y + m 42, well in the log-layer.