Large Eddy Simulation for Incompressible Flows

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Edition: 3rd
Format: Hardcover
Pub. Date: 2005-11-15
Publisher(s): Springer Verlag
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Summary

First concise textbook on Large-Eddy Simulation, a very important method in scientific computing and engineering From the foreword to the third edition written by Charles Meneveau: ..". this meticulously assembled and significantly enlarged description of the many aspects of LES will be a most welcome addition to the bookshelves of scientists and engineers in fluid mechanics, LES practitioners, and students of turbulence in general."

Table of Contents

Introductionp. 1
Computational Fluid Dynamicsp. 1
Levels of Approximation: Generalp. 2
Statement of the Scale Separation Problemp. 3
Usual Levels of Approximationp. 4
Large-Eddy Simulationp. 8
Formal Introduction to Scale Separation: Band-Pass Filteringp. 11
Definition and Properties of the Filter in the Homogeneous Casep. 11
Definitionp. 11
Fundamental Propertiesp. 13
Characterization of Different Approximationsp. 14
Differential Filtersp. 16
Three Classical Filters for Large-Eddy Simulationp. 17
Differential Interpretation of the Filtersp. 22
Spatial Filtering: Extension to the Inhomogeneous Casep. 27
Generalp. 27
Non-uniform Filtering Over an Arbitrary Domainp. 28
Time Filtering: A Few Propertiesp. 38
Application to Navier-Stokes Equationsp. 39
Navier-Stokes Equationsp. 40
Formulation in Physical Spacep. 40
Formulation in General Coordinatesp. 40
Formulation in Spectral Spacep. 41
Filtered Navier-Stokes Equations in Cartesian Coordinates (Homogeneous Case)p. 42
Formulation in Physical Spacep. 42
Formulation in Spectral Spacep. 43
Decomposition of the Non-linear Term. Associated Equations for the Conventional Approachp. 43
Leonard's Decompositionp. 43
Germano Consistent Decompositionp. 54
Germano Identityp. 56
Invariance Propertiesp. 59
Realizability Conditionsp. 64
Extension to the Inhomogeneous Case for the Conventional Approachp. 66
Second-Order Commuting Filterp. 67
High-Order Commuting Filtersp. 68
Filtered Navier-Stokes Equations in General Coordinatesp. 69
Basic Form of the Filtered Equationsp. 69
Simplified Form of the Equations - Non-linear Terms Decompositionp. 69
Closure Problemp. 70
Statement of the Problemp. 70
Postulatesp. 71
Functional and Structural Modelingp. 72
Functional Modeling (Isotropic Case)p. 75
Phenomenology of Inter-Scale Interactionsp. 75
Local Isotropy Assumption: Consequencesp. 76
Interactions Between Resolved and Subgrid Scalesp. 77
A View in Physical Spacep. 86
Summaryp. 88
Basic Functional Modeling Hypothesisp. 88
Modeling of the Forward Energy Cascade Processp. 89
Spectral Modelsp. 89
Physical Space Modelsp. 93
Improvement of Models in the Physical Spacep. 115
Implicit Diffusion: The MILES Conceptp. 140
Modeling the Backward Energy Cascade Processp. 147
Preliminary Remarksp. 147
Deterministic Statistical Modelsp. 148
Stochastic Modelsp. 153
Functional Modeling: Extension to Anisotropic Casesp. 163
Statement of the Problemp. 163
Application of Anisotropic Filter to Isotropic Flowp. 163
Scalar Modelsp. 164
Tensorial Modelsp. 167
Application of an Isotropic Filter to an Anisotropic Flowp. 168
Phenomenology of Inter-Scale Interactionsp. 169
Anisotropic Modelsp. 174
Structural Modelingp. 183
Introduction and Motivationsp. 183
Formal Series Expansionsp. 184
Models Based on Approximate Deconvolutionp. 184
Nonlinear Modelsp. 194
Homogenization Technique: Perrier and Pironneau Modelsp. 199
Scale Similarity Hypotheses and Models Using Themp. 201
Scale Similarity Hypothesesp. 201
Scale Similarity Modelsp. 203
A Bridge Between Scale Similarity and Approximate Deconvolution Models. Generalized Similarity Modelsp. 206
Mixed Modelingp. 207
Motivationsp. 207
Examples of Mixed Modelsp. 209
Differential Subgrid Stress Modelsp. 213
Deardorff Modelp. 213
Link with the Subgrid Viscosity Modelsp. 214
Deterministic Models of the Subgrid Structuresp. 215
Generalp. 215
S3/S2 Alignment Modelp. 216
S3/¿ Alignment Modelp. 216
Kinematic Modelp. 216
Explicit Evaluation of Subgrid Scalesp. 217
Fractal Interpolation Procedurep. 219
Chaotic Map Modelp. 220
Kinematic-Simulation-Based Reconstructionp. 223
Subgrid Scale Estimation Procedurep. 224
Multilevel Simulationsp. 225
Direct Identification of Subgrid Termsp. 233
Linear-Stochastic-Estimation-Based Modelp. 234
Neural-Network-Based Modelp. 235
Implicit Structural Modelsp. 236
Local Average Methodp. 237
Scale Residual Modelp. 238
Numerical Solution: Interpretation and Problemsp. 241
Dynamic Interpretation of the Large-Eddy Simulationp. 241
Static and Dynamic Interpretations: Effective Filterp. 241
Theoretical Analysis of the Turbulence Generated by Large-Eddy Simulationp. 243
Ties Between the Filter and Computational Grid. Pre-filteringp. 248
Numerical Errors and Subgrid Termsp. 250
Ghosal's General Analysisp. 250
Remarks on the Use of Artificial Dissipationsp. 255
Remarks Concerning the Time Integration Methodp. 258
Analysis and Validation of Large-Eddy Simulation Datap. 261
Statement of the Problemp. 261
Type of Information Contained in a Large-Eddy Simulationp. 261
Validation Methodsp. 262
Statistical Equivalency Classes of Realizationsp. 263
Ideal LES and Optimal LESp. 266
Correction Techniquesp. 267
Filtering the Reference Datap. 268
Evaluation of Subgrid Scale Contributionp. 268
Practical Experiencep. 269
Boundary Conditionsp. 271
General Problemp. 271
Mathematical Aspectsp. 271
Physical Aspectsp. 272
Solid Wallsp. 274
Statement of the Problemp. 274
A Few Wall Modelsp. 281
Case of the Inflow Conditionsp. 297
Required Conditionsp. 297
Inflow Condition Generation Techniquesp. 298
Coupling Large-Eddy Simulation with Multiresolution/Multidomain Techniquesp. 309
Statement of the Problemp. 309
Methods with Full Overlapp. 311
One-Way Coupling Algorithmp. 312
Two-Way Coupling Algorithmp. 312
FAS-like Multilevel Methodp. 313
Kravchenko et al. Methodp. 316
Methods Without Full Overlapp. 316
Hybrid RANS/LES Approachesp. 319
Motivations and Presentationp. 319
Zonal Decompositionp. 320
Statement of the Problemp. 320
Sharp Transitionp. 321
Smooth Transitionp. 323
Zonal RANS/LES Approach as Wall Modelp. 324
Nonlinear Disturbance Equationsp. 325
Universal Modelingp. 327
Germano's Hybrid Modelp. 327
Speziale's Rescaling Method and Simplificationsp. 328
Arunajatesan's Modified Two-Equation Modelp. 329
Bush-Mani Limitersp. 330
Implementationp. 331
Filter Identification. Computing the Cutoff Lengthp. 331
Explicit Discrete Filtersp. 334
Uniform One-Dimensional Grid Casep. 334
Extension to the Multidimensional Casep. 337
Extension to the General Case. Convolution Filtersp. 337
High-Order Elliptic Filtersp. 338
Implementation of the Structure Function Modelp. 338
Examples of Applicationsp. 341
Homogeneous Turbulencep. 341
Isotropic Homogeneous Turbulencep. 341
Anisotropic Homogeneous Turbulencep. 342
Flows Possessing a Direction of Inhomogeneityp. 344
Time-Evolving Plane Channelp. 344
Other Flowsp. 348
Flows Having at Most One Direction of Homogeneityp. 348
Round Jetp. 349
Backward Facing Stepp. 356
Square-Section Cylinderp. 360
Other Examplesp. 361
Industrial Applicationsp. 362
Large-Eddy Simulation for Nuclear Power Plantsp. 362
Flow in a Mixed-Flow Pumpp. 362
Flow Around a Landing Gear Configurationp. 367
Flow Around a Full Scale Carp. 368
Lessonsp. 370
General Lessonsp. 370
Subgrid Model Efficiencyp. 371
Wall Model Efficiencyp. 374
Mesh Generation for "Building Blocks" Flowsp. 375
Statistical and Spectral Analysis of Turbulencep. 379
Turbulence Propertiesp. 379
Foundations of the Statistical Analysis of Turbulencep. 379
Motivationsp. 379
Statistical Average: Definition and Propertiesp. 380
Ergodicity Principlep. 380
Decomposition of a Turbulent Fieldp. 382
Isotropic Homogeneous Turbulencep. 383
Introduction to Spectral Analysis of the Isotropic Turbulent Fieldsp. 383
Definitionsp. 383
Modal Interactionsp. 385
Spectral Equationsp. 386
Characteristic Scales of Turbulencep. 388
Spectral Dynamics of Isotropic Homogeneous Turbulencep. 389
Energy Cascade and Local Isotropyp. 389
Equilibrium Spectrump. 389
EDQNM Modelingp. 391
Isotropic EDQNM Modelp. 391
Cambon's Anisotropic EDQNM Modelp. 393
Bibliographyp. 397
Indexp. 423
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