Progress in Wall Turbulence: Understanding and Modeling - Proceedings of the WALLTURB International Workshop held in Lille, France, April 21-23, 2009

Progress in Wall Turbulence: Understanding and Modeling - Proceedings of the WALLTURB International Workshop held in Lille, France, April 21-23, 2009

von: Michel Stanislas, Javier Jimenez, Ivan Marusic

Springer-Verlag, 2010

ISBN: 9789048196036 , 462 Seiten

Format: PDF, OL

Kopierschutz: Wasserzeichen

Windows PC,Mac OSX geeignet für alle DRM-fähigen eReader Apple iPad, Android Tablet PC's Online-Lesen für: Windows PC,Mac OSX,Linux

Preis: 149,79 EUR

Mehr zum Inhalt

Progress in Wall Turbulence: Understanding and Modeling - Proceedings of the WALLTURB International Workshop held in Lille, France, April 21-23, 2009


 

Foreword

6

Preface

8

Acknowledgements

9

Contents

10

Contributors

15

The WALLTURB Project

22

Invited Speakers

27

The Law of the Wall. Indications from DNS, and Opinion

29

Classical Position

30

Mean Velocity

30

Other Quantities

31

Behavior of Turbulence Models

32

Alternative Analytical Proposals

32

Conflicting Experiments

33

Proposals of Non-uniqueness

34

Essence of the Proposals

34

Conceptual Consequences

35

A Situation with Log Laws and Erratic kappa Values

35

DNS Evidence

37

Logarithmic Law

37

Law of the Wall

38

Response to Pressure Gradients

38

Highlights

39

References

40

A Web-Services Accessible Turbulence Database and Application to A-Priori Testing of a Matrix Exponential Subgrid Model

41

Introduction: The Web-Accessible Public Turbulence Database

41

The Matrix Exponential Subgrid Model for LES

42

Database-Enabled A-Priori Tests

45

Conclusions

47

References

47

Modeling Multi-point Correlations in Wall-Bounded Turbulence

48

Introduction

48

Multi-point Correlations and LES

50

Modeling Anisotropy in Wall-Bounded Turbulence

52

Discussion

54

References

55

Theoretical Prediction of Turbulent Skin Friction on Geometrically Complex Surfaces

57

Introduction

57

Mathematical Formulation

59

Skin Friction Coefficient

59

Application of the Formula to Surface Riblets

61

Componential Contributions

61

Drag Reduction

62

Straight Riblets

63

Wavy Riblets

64

Conclusions

64

Appendix

66

References

67

Scaling Turbulent Fluctuations in Wall Layers

68

Introduction

68

Composite Expansions

69

Reynolds Shear Stress

69

Vorticity Fluctuations

69

Outer Vorticity

70

Inner Vertical Vorticity

71

Inner Spanwise Vorticity

71

Inner Streamwise Vorticity

73

Outer Vorticity and Dissipation

74

Normal Reynolds Stresses

74

Vertical Velocity Fluctuations

74

Streamwise Velocity Fluctuations

75

Spanwise Velocity Fluctuations

76

Summary

78

References

79

Session 1: The WALLTURB LML Experiment

80

The WALLTURB Joined Experiment to Assess the Large Scale Structures in a High Reynolds Number Turbulent Boundary Layer

82

Introduction

83

Experimental Setup

83

Samples results

87

Conclusions

89

References

90

Calibration of the WALLTURB Experiment Hot Wire Rake with Help of PIV

91

Introduction

92

Wires Location

92

Blockage Effect

94

Calibration

97

Conclusion

99

References

100

Spatial Correlation from the SPIV Database of the WALLTURB Experiment

101

Introduction

101

Experimental Setup

102

SPIV System

103

PIV Analysis

104

Spatial Correlation

105

2D Correlations

105

3D Correlations

105

Conclusion

107

References

108

Two-Point Correlations and POD Analysis of the WALLTURB Experiment Using the Hot-Wire Rake Database

110

Two-Point Correlations of WALLTURB Experiments

111

Proper Orthogonal Decomposition

111

Eigenvalue Distribution over POD Modes

112

Eigenvalue Distribution over POD and Spanwise Fourier Modes

113

Reconstruction of Velocity Field

114

Discussion and Summary

116

References

117

Session 2: Experiments in Flat Plate Boundary Layers

118

Reynolds Number Dependence of the Amplitude Modulated Near-Wall Cycle

120

Introduction

120

Quantifying Amplitude Modulation

121

Experiments

123

Variations with Reynolds Number

123

References

126

Tomographic Particle Image Velocimetry Measurements of a High Reynolds Number Turbulent Boundary Layer

128

Introduction

128

Experimental Procedure

130

Volume Reconstruction and PIV Processing

131

Results

132

Conclusion

134

References

134

Study of Vortical Structures in Turbulent Near-Wall Flows

136

Introduction

136

Description of the Database

137

Average Properties of the Database

137

Detection Technique

139

Results: Characteristics of the Vortices

140

Density of the Vortices

140

Radius of the Vortices

141

Vorticity of the Vortices

143

Conclusion

145

References

145

Session 3: Experiments in Adverse Pressure Gradient Boundary Layers

147

Two-Point Near-Wall Measurements of Velocity and Wall Shear Stress Beneath a Separating Turbulent Boundary Layer

149

Introduction

149

Measurement Techniques

150

Results

152

Mean Wall Shear Stress, Mean Velocity and Reynolds Stresses

152

Velocity-Wall-Shear-Stress Correlation

153

Time-Lag Correlations

155

References

156

Experimental Analysis of Turbulent Boundary Layer with Adverse Pressure Gradient Corresponding to Turbomachinery Conditions

157

Introduction

157

Experimental Setup and Measuring Techniques

158

Experimental Results and Scaling of TBL

160

Conclusion

163

References

164

Near Wall Measurements in a Separating Turbulent Boundary Layer with and without Passive Flow Control

165

Introduction

165

Experimental Apparatus and Methodology

166

Measurement Technique and Experiment Organization

167

Results and Discussion

168

Dissipation Mechanism

168

Three-Dimensional Effect of VGs

170

Conclusion

172

References

173

Session 4: Boundary Layer Structure and Scaling

174

On the Relationship Between Vortex Tubes and Sheets in Wall-Bounded Flows

176

Introduction

176

Statistical Analysis

177

Conditional Expected Fields

178

Conclusions

183

References

184

Spanwise Characteristics of Hairpin Packets in a Turbulent Boundary Layer Under a Strong Adverse Pressure Gradient

185

Introduction

185

Experimental Procedure

187

Results and Discussion

190

References

193

The Mesolayer and Reynolds Number Dependencies of Boundary Layer Turbulence

194

Historical Context

194

Spectra at Rtheta= 19,100

197

Summary and Conclusions

200

References

201

A New Wall Function for Near Wall Mixing Length Models Based on a Universal Representation of Near Wall Turbulence

202

Introduction

202

Vortices Properties in the TBL

203

Universal Representation

203

Wall Function Model

206

Channel Flow Validation

207

Conclusion

209

References

210

Session 5: DNS and LES

211

Direct Numerical Simulations of Converging-Diverging Channel Flow

213

Introduction

213

Description of the DNS

214

Results

215

Conclusions

218

References

219

Corrections to Taylor's Approximation from Computed Turbulent Convection Velocities

220

Introduction

220

The Estimation of the Convection Velocities

221

Spectral and Spatial Dependence of the Convection Velocity

222

The Effect of Taylor's Approximation

223

Conclusions

226

References

226

A Multi-scale & Dynamic Method for Spatially Evolving Flows

228

Introduction

229

Formulation of the Problem and Methodology

230

The Rescaling-Recycling Method: The Multi-scale Similarity Approach

230

Dynamic Approach

233

Results and Discussion

233

Conclusions

235

References

235

Statistics and Flow Structures in Couette-Poiseuille Flows

237

Introduction

237

Numerical Methodology

238

Mean and Fluctuating Properties

240

Turbulence Structure near the Moving Wall

241

Conclusions

243

References

243

Session 6: Theory

245

LES-Langevin Approach for Turbulent Channel Flow

247

Introduction

247

LES-Langevin Model for Wall Turbulence

248

Estimation of Stochastic Forcing in the Case of Channel Flow

250

A Priori Tests

250

The Filter and Spatial Resolution Dependence of the Stochastic Forcing and the Turbulent Force

251

Time Scale Separation

251

Results and Discussions

252

Conclusion

254

References

255

A Scale-Entropy Diffusion Equation for Wall Turbulence

257

Introduction

257

Scale-Entropy Diffusion Equation

258

Experimental Measurement of Structure Functions, Scaling Exponents and Intermittency Efficiency

259

Detection of Structures by a Thresholding Procedure of Velocity Fluctuations

259

The Notion of Equivalent Dispersion Scale

261

Conclusion

263

References

264

A Specific Behaviour of Adverse Pressure Gradient Near Wall Flows

265

Introduction

265

LML Experiment

266

LML Direct Numerical Simulation

266

Literature Data

268

Discussion

268

Conclusion

271

References

272

Session 7: RANS Modelling

274

A Nonlinear Eddy-Viscosity Model for Near-Wall Turbulence

276

Introduction

276

Mathematical Modeling

278

The Linear V2F Model

278

The Nonlinear V2F Model (NLV2F)

279

Results and Discussion

279

Experimental and Numerical Reference Data

280

Model Results and Discussion

281

Concluding Remarks

283

References

283

ASBM-BSL: An Easy Access to the Structure Based Model Technology

284

Introduction

284

ASBM Modelling

285

Coupling with a k - omega Model

288

Validation Results

288

Conclusions and Perspectives

291

References

292

Introduction of Wall Effects into Explicit Algebraic Stress Models Through Elliptic Blending

293

Introduction

293

Explicit Algebraic Methodology

294

Invariant and Functional Integrity Bases

295

Truncated Bases

296

Validation of the Models

298

Conclusions

302

References

302

Session 8: Dynamical Systems

304

POD Based Reduced-Order Model for Prescribing Turbulent Near Wall Unsteady Boundary Condition

306

Introduction

307

POD Analysis and Modelling Strategy

307

Flow Reconstruction and Coupling with LES

309

Low-Order Dynamical Systems

311

Conclusions and Perspectives

312

References

313

A POD-Based Model for the Turbulent Wall Layer

314

Introduction

314

Characteristics of the Direct Numerical Simulation

315

The Proper Orthogonal Decomposition

315

Derivation Hypotheses

316

Model Validation

316

Influence of the Calibration Procedure

318

Conclusion

320

References

320

HR SPIV for Dynamical System Construction

322

Introduction

322

Experimental Setup

323

HR SPIV System

323

PIV Analysis

326

Space-Time Correlations

327

Conclusion

330

References

331

The Stagnation Point Structure of Wall-Turbulence and the Law of the Wall in Turbulent Channel Flow

332

Introduction

332

Conventional Results of DNS of Turbulent Channel Flow

333

The Stagnation Point Approach

335

Consequences of the Constancies of B1 & Cs

338

Conclusion

339

References

339

Session 9: Large Eddy Simulation

340

Wall Modelling for Implicit Large Eddy Simulation of Favourable and Adverse Pressure Gradient Flows

342

Introduction

342

Numerical Method and Wall Modelling

344

Cut-Cell Finite-Volume IB Method

344

Wall Model on IB Boundary

345

Validation and Application

346

Validation for Turbulent Channel Flow

346

Application to Bump Flow

349

Conclusion

350

References

350

LES of Turbulent Channel Flow with Pressure Gradient Corresponding to Turbomachinery Conditions

352

Introduction

352

Numerical Procedure

353

Analysis of the Results

355

Conclusions

358

References

359

LES Modeling of Converging Diverging Turbulent Channel Flow

360

Introduction

360

Numerical Code

361

Subgrid-Scale Models

362

Test Case Description

363

Results

364

Conclusions

367

References

368

Large-Scale Organized Motion in Turbulent Pipe Flow

369

Introduction

369

Flow Facility, Experimental Setup, and PIV Processing

370

Discussion of First Results

372

Outlook

376

References

376

Session 10: Skin Friction

378

Near-Wall Measurements and Wall Shear Stress

380

Introduction

380

Very Near Wall Measurements Using LDA

382

Analysis of Bias in Near Wall Measurements

383

Momentum Integral Method

384

Conclusions

386

References

387

Measurements of Near Wall Velocity and Wall Stress in a Wall-Bounded Turbulent Flow Using Digital Holographic Microscopic PIV and Shear Stress Sensitive Film

388

Introduction

388

Wall Shear Stress Sensor

389

Sensor Calibration and Application

390

Experimental Setup

391

Results and Discussion

392

Velocity Profile Measurement

392

Conclusion

394

References

395

Friction Measurement in Zero and Adverse Pressure Gradient Boundary Layer Using Oil Droplet Interferometric Method

396

Introduction

396

Oil Film Interferometric Method

396

Oil Droplet Interferometric Method

400

Test Surface

401

Experimental Tests: ZPG and APG Cases

401

Conclusion

404

References

404

Session 11: Modified Wall Flow

406

Scaling of Turbulence Structures in Very-Rough-Wall Channel Flow

408

Introduction

408

Experimental Technique

409

Results and Discussion

411

Conclusions

414

References

415

Characterizing a Boundary Layer Flow for Bubble Drag Reduction

416

Review of Work on Drag Reduction by Air Bubbles

416

Preparation of a Zero Pressure Gradient Developing Boundary Layer

419

Outlook

421

References

422

Direct and Large Eddy Numerical Simulations of Turbulent Viscoelastic Drag Reduction

424

Direct Numerical Simulations (DNS)

425

DNS Model Equations

425

Numerical Method

426

DNS Results

426

Temporal Large Eddy Simulations (TLES)

427

TLES Model Equations

428

TLES Results at Retau0=180

430

References

431

DNS of Supercritical Carbon Dioxide Turbulent Channel Flow

432

Introduction

432

Numerical Method

433

Turbulence Statistics

434

Turbulent Kinetic Energy Budget

435

Heat Transfer Characteristics

436

Summary

438

References

439

Session 12: Industrial Modeling

440

Evaluation of v2-f and ASBM Turbulence Models for Transonic Aerofoil RAE2822

442

Introduction

442

Turbulence Model Selection and Test on Channel and Flat Plate

444

Results for RAE2822 Aerofoil

446

Conclusions

451

References

451

Turbulence Modelling Applied to Aerodynamic Design

454

Introduction

454

Reynolds Averaged Navier-Stokes Modelling

455

Reynolds Stress Modelling

459

LES/DES Modelling

461

Conclusions and Perspectives

464

References

465