Large eddy simulation for incompressible flows: an introduction ; with 15 tables
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English German French |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2006
|
| Ausgabe: | 3. ed. |
| Schriftenreihe: | Scientific computation
|
| Schlagworte: | |
| Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
| Beschreibung: | Literaturverz. S. 513 - 551 |
| Beschreibung: | XXIX, 556 S. Ill., graph. Darst. |
| ISBN: | 9783540263449 3540263446 9783642065804 |
Internformat
MARC
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| 100 | 1 | |a Sagaut, Pierre |d 1967- |e Verfasser |0 (DE-588)1049515781 |4 aut | |
| 240 | 1 | 0 | |a Introduction à la simulation des grandes échelles pour les écoulements de fluide incompressible |
| 245 | 1 | 0 | |a Large eddy simulation for incompressible flows |b an introduction ; with 15 tables |c Pierre Sagaut |
| 250 | |a 3. ed. | ||
| 264 | 1 | |a Berlin [u.a.] |b Springer |c 2006 | |
| 300 | |a XXIX, 556 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Scientific computation | |
| 500 | |a Literaturverz. S. 513 - 551 | ||
| 650 | 4 | |a Inkompressible Strömung - LES | |
| 650 | 4 | |a Mathematisches Modell | |
| 650 | 4 | |a Eddies |x Mathematical models | |
| 650 | 4 | |a Turbulence |x Mathematical models | |
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Datensatz im Suchindex
| _version_ | 1804135044556521472 |
|---|---|
| adam_text | Contents
§1 Introduction 1
|11 Computational Fluid Dynamics 1
I12 Levels of Approximation: General 2
1 3 Statement of the Scale Separation Problem 3
1 4 Usual Levels of Approximation 5
f15 Large-Eddy Simulation: from Practice to Theory
I Structure of the Book 9
|2 Formal Introduction to Scale Separation:
I Band-Pass Filtering 15
2 1 Definition and Properties of the Filter
I in the Homogeneous Case 15
l211 Definition 15
212 Fundamental Properties IT
;213 Characterization of Different Approximations 18
I214 Differential Filters 20
215 Three Classical Filters for Large-Eddy Simulation 21
216 Differential Interpretation of the Filters 26
2 2 Spatial Filtering: Extension to the Inhomogeneous Case 31
221 General 31
|222 Non-uniform Filtering Over an Arbitrary Domain 32
223 Local Spectrum of Commutation Error 42
2 3 Time Filtering: a Few Properties 43
3 Application to Navier—Stokes Equations 45
3 1 Navier-Stokes Equations 46
|311 Formulation in Physical Space 46
f312 Formulation in General Coordinates 46
l313 Formulation in Spectral Space 47
3 2 Filtered Navier-Stokes Equations in Cartesian Coordinates
(Homogeneous Case) 48
321 Formulation in Physical Space 48
322 Formulation in Spectral Space 48
XXIV Contents
3 3 Decomposition of the Non-linear Term
Associated Equations for the Conventional Approach 4
331 Leonard’s Decomposition 4
332 Germano Consistent Decomposition 5
333 Germano Identity 6
334 Invariance Properties 6
335 Realizability Conditions 7
3 4 Extension to the Inhomogeneous Case
for the Conventional Approach 7
341 Second-Order Commuting Filter 7
342 High-Order Commuting Filters 7
3 5 Filtered Navier-Stokes Equations in General Coordinates 7
351 Basic Form of the Filtered Equations 7
352 Simplified Form of the Equations -
Non-linear Terms Decomposition 7
3 6 Closure Problem 7
361 Statement of the Problem 7
362 Postulates 7
363 Functional and Structural Modeling 8
4 Other Mathematical Models for the Large-Eddy
Simulation Problem 8
4 1 Ensemble-Averaged Models 8
411 Yoshizawa’s Partial Statistical Average Model 8
412 McComb’s Conditional Mode Elimination Procedure 8
4 2 Regularized Navier-Stokes Models 8
421 Leray’s Model 8
422 Holm’s Navier-Stokes-a; Model 8
423 Ladyzenskaja’s Model 8
5 Functional Modeling (Isotropic Case) 9
5 1 Phenomenology of Inter-Scale Interactions 9
511 Local Isotropy Assumption: Consequences 9
512 Interactions Between Resolved and Subgrid Scales 9
513A View in Physical Space 10
514 Summary 10
5 2 Basic Functional Modeling Hypothesis 10
5 3 Modeling of the Forward Energy Cascade Process 10
531 Spectral Models 10
532 Physical Space Models 10
533 Improvement of Models in the Physical Space 13
534 Implicit Diffusion: the ILES Concept 16
5 4 Modeling the Backward Energy Cascade Process 17
541 Preliminary Remarks 17
Contents XXV
542 Deterministic Statistical Models 172
543 Stochastic Models 178
Functional Modeling:
Extension to Anisotropic Cases 187
6 1 Statement of the Problem 187
6 2 Application of Anisotropic Filter to Isotropic Flow 187
621 Scalar Models 188
622 Batten’s Mixed Space-Time Scalar Estimator 191
623 Tensorial Models 191
6 3 Application of an Isotropic Filter to a Shear Flow 193
631 Phenomenology of Inter-Scale Interactions 193
632 Anisotropic Models: Scalar Subgrid Viscosities 198
633 Anisotropic Models: Tensorial Subgrid Viscosities 202
6 4 Remarks on Flows Submitted to Strong Rotation Effects 208
Structural Modeling 209
7 1 Introduction and Motivations 209
7 2 Formal Series Expansions 210
721 Models Based on Approximate Deconvolution 210
722 Non-linear Models 223
723 Homogenization-Technique-Based Models 228
7 3 Scale Similarity Hypotheses and Models Using Them 231
731 Scale Similarity Hypotheses 231
732 Scale Similarity Models 232
733A Bridge Between Scale Similarity and Approximate
Deconvolution Models Generalized Similarity Models 236
7 4 Mixed Modeling 237
741 Motivations 237
742 Examples of Mixed Models 239
7 5 Differential Subgrid Stress Models 243
751 Deardorff Model 243
752 Fureby Differential Subgrid Stress Model 244
753 Velocity-Filtered-Density-Function-Based Subgrid
Stress Models 245
754 Link with the Subgrid Viscosity Models 248
7 6 Stretched-Vortex Subgrid Stress Models 249
761 General 249
762 S3/S2 Alignment Model 250
763 S3/a Alignment Model 250
764 Kinematic Model 250
7 7 Explicit Evaluation of Subgrid Scales 251
771 Fractal Interpolation Procedure 253
772 Chaotic Map Model 254
XXVI Contents
773 Kerstein’s ODT-Based Method 25
774 Kinematic-Simulation-Based Reconstruction 25
775 Velocity Filtered Density Function Approach 26
776 Subgrid Scale Estimation Procedure 26
777 Multi-level Simulations 26
7 8 Direct Identification of Subgrid Terms 27
781 Linear-Stochastic-Estimation-Based Model 27
782 Neural-Network-Based Model 27
7 9 Implicit Structural Models 27
791 Local Average Method 27
792 Scale Residual Model 27
8 Numerical Solution: Interpretation and Problems 28
8 1 Dynamic Interpretation of the Large-Eddy Simulation 28
811 Static and Dynamic Interpretations: Effective Filter 28
812 Theoretical Analysis of the Turbulence
Generated by Large-Eddy Simulation 28
8 2 Ties Between the Filter and Computational Grid
Pre-filtering 28
8 3 Numerical Errors and Subgrid Terms 29
831 Ghosal’s General Analysis 29
832 Pre-filtering Effect 29
833 Conclusions 29
834 Remarks on the Use of Artificial Dissipations 29
835 Remarks Concerning the Time Integration Method 30
9 Analysis and Validation of Large-Eddy Simulation Data 30
9 1 Statement of the Problem 30
911 Type of Information Contained
in a Large-Eddy Simulation 30
912 Validation Methods 30
913 Statistical Equivalency Classes of Realizations 30
914 Ideal LES and Optimal LES 31
915 Mathematical Analysis of Sensitivities
and Uncertainties in Large-Eddy Simulation 31
9 2 Correction Techniques 31
921 Filtering the Reference Data 31
922 Evaluation of Subgrid-Scale Contribution 31
923 Evaluation of Subgrid-Scale Kinetic Energy 31
9 3 Practical Experience 31
10 Boundary Conditions 32
10 1 General Problem 32
10 1 1 Mathematical Aspects 32
10 1 2 Physical Aspects 32
Contents XXVII
10 2 Solid Walls 326
10 2 1 Statement of the Problem 326
10 22A Few Wall Models 332
10 2 3 Wall Models: Achievements and Problems 351
10 3 Case of the Inflow Conditions 354
10 3 1 Required Conditions 354
10 3 2 Inflow Condition Generation Techniques 354
Coupling Large-Eddy Simulation
with Multiresolution/Multidomain Techniques 369
11 1 Statement of the Problem 369
11 2 Methods with Full Overlap 371
11 2 1 One-Way Coupling Algorithm 372
11 2 2 Two-Way Coupling Algorithm 372
11 2 3 FAS-like Multilevel Method 373
11 2 4 Kravchenko et al Method 374
11 3 Methods Without Full Overlap 376
11 4 Coupling Large-Eddy Simulation with Adaptive
Mesh Refinement 377
11 4 1 Statement of the Problem 377
11 4 2 Error Estimation 378
Hybrid RANS/LES Approaches 383
12 1 Motivations and Presentation 383
12 2 Zonal Decomposition 384
12 2 1 Statement of the Problem 384
12 2 2 Sharp Transition 385
12 2 3 Smooth Transition 387
12 2 4 Zonal RANS/LES Approach as Wall Model 388
12 3 Nonlinear Disturbance Equations 390
12 4 Universal Modeling 391
12 4 1 Germano’s Hybrid Model 392
12 4 2 Speziale’s Rescaling Method and Related Approaches 393
12 4 3 Baurle’s Blending Strategy 394
12 4 4 Arunajatesan’s Modified Two-Equation Model 396
12 4 5 Bush-Mani Limiters 397
12 4 6 Magagnato’s Two-Equation Model 398
12 5 Toward a Theoretical Status for Hybrid
RANS/LES Approaches 399
Implementation 401
13 1 Filter Identification Computing the Cutoff Length 401
13 2 Explicit Discrete Filters 404
13 2 1 Uniform One-Dimensional Grid Case 404
13 2 2 Extension to the Multi-Dimensional Case 407
XXVIII Contents
13 2 3 Extension to the General Case Convolution Filters 407
13 2 4 High-Order Elliptic Filters 408
13 3 Implementation of the Structure Function Models 408
14 Examples of Applications 411
14 1 Homogeneous Turbulence 411
14 1 1 Isotropic Homogeneous Turbulence 411
14 1 2 Anisotropic Homogeneous Turbulence 412
14 2 Flows Possessing a Direction of Inhomogeneity 414
14 2 1 Time-Evolving Plane Channel 414
14 2 2 Other Flows 418
14 3 Flows Having at Most One Direction of Homogeneity 419
14 3 1 Round Jet 419
14 3 2 Backward Facing Step 426
14 3 3 Square-Section Cylinder 430
14 3 4 Other Examples 431
14 4 Industrial Applications 432
14 4 1 Large-Eddy Simulation for Nuclear Power Plants 432
14 4 2 Flow in a Mixed-Flow Pump 435
14 4 3 Flow Around a Landing Gear Configuration 437
14 4 4 Flow Around a Full-Scale Car 437
14 5 Lessons 439
14 5 1 General Lessons 439
14 5 2 Subgrid Model Efficiency 442
14 5 3 Wall Model Efficiency 444
14 5 4 Mesh Generation for Building Blocks Flows 445
15 Coupling with Passive/Active Scalar 449
15 1 Scope of this Chapter 449
15 2 The Passive Scalar Case 450
15 2 1 Physical Model 450
15 2 2 Dynamics of the Passive Scalar 453
15 2 3 Extensions of Functional Models 461
15 2 4 Extensions of Structural Models 466
15 2 5 Generalized Subgrid Modeling for Arbitrary Non-linear
Functions of an Advected Scalar 468
15 2 6 Models for Subgrid Scalar Variance and Scalar Subgrid
Mixing Rate 469
15 27A Few Applications 472
15 3 The Active Scalar Case: Stratification and Buoyancy Effects 472
15 3 1 Physical Model 472
15 3 2 Some Insights into the Active Scalar Dynamics 474
15 3 3 Extensions of Functional Models 481
15 3 4 Extensions of Structural Models 487
15 3 5 Subgrid Kinetic Energy Estimates 490
Contents XXIX
* 15 3 6 More Complex Physical Models 492
15 37A Few Applications 492
A Statistical and Spectral Analysis of Turbulence 495
A l Turbulence Properties 495
A 2 Foundations of the Statistical Analysis of Turbulence 495
A21 Motivations 495
A22 Statistical Average: Definition and Properties 496
A23 Ergodicity Principle 496
A24 Decomposition of a Turbulent Field 498
A25 Isotropic Homogeneous Turbulence 499
A 3 Introduction to Spectral Analysis
of the Isotropic Turbulent Fields 499
A31 Definitions 499
A32 Modal Interactions 501
A33 Spectral Equations 502
A 4 Characteristic Scales of Turbulence 504
A 5 Spectral Dynamics of Isotropic Homogeneous Turbulence 504
A51 Energy Cascade and Local Isotropy 504
A52 Equilibrium Spectrum 505
B EDQNM Modeling 507
B l Isotropic EDQNM Model 507
B 2 Cambon’s Anisotropic EDQNM Model 509
B 3 EDQNM Model for Isotropic Passive Scalar 511
Bibliography 513
Index
|
| adam_txt |
Contents
§1 Introduction 1
|11 Computational Fluid Dynamics 1
I12 Levels of Approximation: General 2
1 3 Statement of the Scale Separation Problem 3
1 4 Usual Levels of Approximation 5
f15 Large-Eddy Simulation: from Practice to Theory
I Structure of the Book 9
|2 Formal Introduction to Scale Separation:
I Band-Pass Filtering 15
2 1 Definition and Properties of the Filter
I in the Homogeneous Case 15
l211 Definition 15
212 Fundamental Properties IT
;213 Characterization of Different Approximations 18
I214 Differential Filters 20
215 Three Classical Filters for Large-Eddy Simulation 21
216 Differential Interpretation of the Filters 26
2 2 Spatial Filtering: Extension to the Inhomogeneous Case 31
221 General 31
|222 Non-uniform Filtering Over an Arbitrary Domain 32
223 Local Spectrum of Commutation Error 42
2 3 Time Filtering: a Few Properties 43
3 Application to Navier—Stokes Equations 45
3 1 Navier-Stokes Equations 46
|311 Formulation in Physical Space 46
f312 Formulation in General Coordinates 46
l313 Formulation in Spectral Space 47
3 2 Filtered Navier-Stokes Equations in Cartesian Coordinates
(Homogeneous Case) 48
321 Formulation in Physical Space 48
322 Formulation in Spectral Space 48
XXIV Contents
3 3 Decomposition of the Non-linear Term
Associated Equations for the Conventional Approach 4
331 Leonard’s Decomposition 4
332 Germano Consistent Decomposition 5
333 Germano Identity 6
334 Invariance Properties 6
335 Realizability Conditions 7
3 4 Extension to the Inhomogeneous Case
for the Conventional Approach 7
341 Second-Order Commuting Filter 7
342 High-Order Commuting Filters 7
3 5 Filtered Navier-Stokes Equations in General Coordinates 7
351 Basic Form of the Filtered Equations 7
352 Simplified Form of the Equations -
Non-linear Terms Decomposition 7
3 6 Closure Problem 7
361 Statement of the Problem 7
362 Postulates 7
363 Functional and Structural Modeling 8
4 Other Mathematical Models for the Large-Eddy
Simulation Problem 8
4 1 Ensemble-Averaged Models 8
411 Yoshizawa’s Partial Statistical Average Model 8
412 McComb’s Conditional Mode Elimination Procedure 8
4 2 Regularized Navier-Stokes Models 8
421 Leray’s Model 8
422 Holm’s Navier-Stokes-a; Model 8
423 Ladyzenskaja’s Model 8
5 Functional Modeling (Isotropic Case) 9
5 1 Phenomenology of Inter-Scale Interactions 9
511 Local Isotropy Assumption: Consequences 9
512 Interactions Between Resolved and Subgrid Scales 9
513A View in Physical Space 10
514 Summary 10
5 2 Basic Functional Modeling Hypothesis 10
5 3 Modeling of the Forward Energy Cascade Process 10
531 Spectral Models 10
532 Physical Space Models 10
533 Improvement of Models in the Physical Space 13
534 Implicit Diffusion: the ILES Concept 16
5 4 Modeling the Backward Energy Cascade Process 17
541 Preliminary Remarks 17
Contents XXV
542 Deterministic Statistical Models 172
543 Stochastic Models 178
Functional Modeling:
Extension to Anisotropic Cases 187
6 1 Statement of the Problem 187
6 2 Application of Anisotropic Filter to Isotropic Flow 187
621 Scalar Models 188
622 Batten’s Mixed Space-Time Scalar Estimator 191
623 Tensorial Models 191
6 3 Application of an Isotropic Filter to a Shear Flow 193
631 Phenomenology of Inter-Scale Interactions 193
632 Anisotropic Models: Scalar Subgrid Viscosities 198
633 Anisotropic Models: Tensorial Subgrid Viscosities 202
6 4 Remarks on Flows Submitted to Strong Rotation Effects 208
Structural Modeling 209
7 1 Introduction and Motivations 209
7 2 Formal Series Expansions 210
721 Models Based on Approximate Deconvolution 210
722 Non-linear Models 223
723 Homogenization-Technique-Based Models 228
7 3 Scale Similarity Hypotheses and Models Using Them 231
731 Scale Similarity Hypotheses 231
732 Scale Similarity Models 232
733A Bridge Between Scale Similarity and Approximate
Deconvolution Models Generalized Similarity Models 236
7 4 Mixed Modeling 237
741 Motivations 237
742 Examples of Mixed Models 239
7 5 Differential Subgrid Stress Models 243
751 Deardorff Model 243
752 Fureby Differential Subgrid Stress Model 244
753 Velocity-Filtered-Density-Function-Based Subgrid
Stress Models 245
754 Link with the Subgrid Viscosity Models 248
7 6 Stretched-Vortex Subgrid Stress Models 249
761 General 249
762 S3/S2 Alignment Model 250
763 S3/a Alignment Model 250
764 Kinematic Model 250
7 7 Explicit Evaluation of Subgrid Scales 251
771 Fractal Interpolation Procedure 253
772 Chaotic Map Model 254
XXVI Contents
773 Kerstein’s ODT-Based Method 25
774 Kinematic-Simulation-Based Reconstruction 25
775 Velocity Filtered Density Function Approach 26
776 Subgrid Scale Estimation Procedure 26
777 Multi-level Simulations 26
7 8 Direct Identification of Subgrid Terms 27
781 Linear-Stochastic-Estimation-Based Model 27
782 Neural-Network-Based Model 27
7 9 Implicit Structural Models 27
791 Local Average Method 27
792 Scale Residual Model 27
8 Numerical Solution: Interpretation and Problems 28
8 1 Dynamic Interpretation of the Large-Eddy Simulation 28
811 Static and Dynamic Interpretations: Effective Filter 28
812 Theoretical Analysis of the Turbulence
Generated by Large-Eddy Simulation 28
8 2 Ties Between the Filter and Computational Grid
Pre-filtering 28
8 3 Numerical Errors and Subgrid Terms 29
831 Ghosal’s General Analysis 29
832 Pre-filtering Effect 29
833 Conclusions 29
834 Remarks on the Use of Artificial Dissipations 29
835 Remarks Concerning the Time Integration Method 30
9 Analysis and Validation of Large-Eddy Simulation Data 30
9 1 Statement of the Problem 30
911 Type of Information Contained
in a Large-Eddy Simulation 30
912 Validation Methods 30
913 Statistical Equivalency Classes of Realizations 30
914 Ideal LES and Optimal LES 31
915 Mathematical Analysis of Sensitivities
and Uncertainties in Large-Eddy Simulation 31
9 2 Correction Techniques 31
921 Filtering the Reference Data 31
922 Evaluation of Subgrid-Scale Contribution 31
923 Evaluation of Subgrid-Scale Kinetic Energy 31
9 3 Practical Experience 31
10 Boundary Conditions 32
10 1 General Problem 32
10 1 1 Mathematical Aspects 32
10 1 2 Physical Aspects 32
Contents XXVII
10 2 Solid Walls 326
10 2 1 Statement of the Problem 326
10 22A Few Wall Models 332
10 2 3 Wall Models: Achievements and Problems 351
10 3 Case of the Inflow Conditions 354
10 3 1 Required Conditions 354
10 3 2 Inflow Condition Generation Techniques 354
Coupling Large-Eddy Simulation
with Multiresolution/Multidomain Techniques 369
11 1 Statement of the Problem 369
11 2 Methods with Full Overlap 371
11 2 1 One-Way Coupling Algorithm 372
11 2 2 Two-Way Coupling Algorithm 372
11 2 3 FAS-like Multilevel Method 373
11 2 4 Kravchenko et al Method 374
11 3 Methods Without Full Overlap 376
11 4 Coupling Large-Eddy Simulation with Adaptive
Mesh Refinement 377
11 4 1 Statement of the Problem 377
11 4 2 Error Estimation 378
Hybrid RANS/LES Approaches 383
12 1 Motivations and Presentation 383
12 2 Zonal Decomposition 384
12 2 1 Statement of the Problem 384
12 2 2 Sharp Transition 385
12 2 3 Smooth Transition 387
12 2 4 Zonal RANS/LES Approach as Wall Model 388
12 3 Nonlinear Disturbance Equations 390
12 4 Universal Modeling 391
12 4 1 Germano’s Hybrid Model 392
12 4 2 Speziale’s Rescaling Method and Related Approaches 393
12 4 3 Baurle’s Blending Strategy 394
12 4 4 Arunajatesan’s Modified Two-Equation Model 396
12 4 5 Bush-Mani Limiters 397
12 4 6 Magagnato’s Two-Equation Model 398
12 5 Toward a Theoretical Status for Hybrid
RANS/LES Approaches 399
Implementation 401
13 1 Filter Identification Computing the Cutoff Length 401
13 2 Explicit Discrete Filters 404
13 2 1 Uniform One-Dimensional Grid Case 404
13 2 2 Extension to the Multi-Dimensional Case 407
XXVIII Contents
13 2 3 Extension to the General Case Convolution Filters 407
13 2 4 High-Order Elliptic Filters 408
13 3 Implementation of the Structure Function Models 408
14 Examples of Applications 411
14 1 Homogeneous Turbulence 411
14 1 1 Isotropic Homogeneous Turbulence 411
14 1 2 Anisotropic Homogeneous Turbulence 412
14 2 Flows Possessing a Direction of Inhomogeneity 414
14 2 1 Time-Evolving Plane Channel 414
14 2 2 Other Flows 418
14 3 Flows Having at Most One Direction of Homogeneity 419
14 3 1 Round Jet 419
14 3 2 Backward Facing Step 426
14 3 3 Square-Section Cylinder 430
14 3 4 Other Examples 431
14 4 Industrial Applications 432
14 4 1 Large-Eddy Simulation for Nuclear Power Plants 432
14 4 2 Flow in a Mixed-Flow Pump 435
14 4 3 Flow Around a Landing Gear Configuration 437
14 4 4 Flow Around a Full-Scale Car 437
14 5 Lessons 439
14 5 1 General Lessons 439
14 5 2 Subgrid Model Efficiency 442
14 5 3 Wall Model Efficiency 444
14 5 4 Mesh Generation for Building Blocks Flows 445
15 Coupling with Passive/Active Scalar 449
15 1 Scope of this Chapter 449
15 2 The Passive Scalar Case 450
15 2 1 Physical Model 450
15 2 2 Dynamics of the Passive Scalar 453
15 2 3 Extensions of Functional Models 461
15 2 4 Extensions of Structural Models 466
15 2 5 Generalized Subgrid Modeling for Arbitrary Non-linear
Functions of an Advected Scalar 468
15 2 6 Models for Subgrid Scalar Variance and Scalar Subgrid
Mixing Rate 469
15 27A Few Applications 472
15 3 The Active Scalar Case: Stratification and Buoyancy Effects 472
15 3 1 Physical Model 472
15 3 2 Some Insights into the Active Scalar Dynamics 474
15 3 3 Extensions of Functional Models 481
15 3 4 Extensions of Structural Models 487
15 3 5 Subgrid Kinetic Energy Estimates 490
Contents XXIX
* 15 3 6 More Complex Physical Models 492
15 37A Few Applications 492
A Statistical and Spectral Analysis of Turbulence 495
A l Turbulence Properties 495
A 2 Foundations of the Statistical Analysis of Turbulence 495
A21 Motivations 495
A22 Statistical Average: Definition and Properties 496
A23 Ergodicity Principle 496
A24 Decomposition of a Turbulent Field 498
A25 Isotropic Homogeneous Turbulence 499
A 3 Introduction to Spectral Analysis
of the Isotropic Turbulent Fields 499
A31 Definitions 499
A32 Modal Interactions 501
A33 Spectral Equations 502
A 4 Characteristic Scales of Turbulence 504
A 5 Spectral Dynamics of Isotropic Homogeneous Turbulence 504
A51 Energy Cascade and Local Isotropy 504
A52 Equilibrium Spectrum 505
B EDQNM Modeling 507
B l Isotropic EDQNM Model 507
B 2 Cambon’s Anisotropic EDQNM Model 509
B 3 EDQNM Model for Isotropic Passive Scalar 511
Bibliography 513
Index |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Sagaut, Pierre 1967- |
| author_GND | (DE-588)1049515781 |
| author_facet | Sagaut, Pierre 1967- |
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| author_sort | Sagaut, Pierre 1967- |
| author_variant | p s ps |
| building | Verbundindex |
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| callnumber-search | MLCM 2006/40205 (T) |
| callnumber-sort | MLCM 42006 540205 T |
| classification_rvk | UF 4000 |
| classification_tum | MTA 300f PHY 220f |
| ctrlnum | (OCoLC)255318841 (DE-599)BVBBV021266729 |
| dewey-full | 004 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 004 - Computer science |
| dewey-raw | 004 |
| dewey-search | 004 |
| dewey-sort | 14 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Maschinenbau / Maschinenwesen Physik Informatik |
| discipline_str_mv | Maschinenbau / Maschinenwesen Physik Informatik |
| edition | 3. ed. |
| format | Book |
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| id | DE-604.BV021266729 |
| illustrated | Illustrated |
| index_date | 2024-07-02T13:43:24Z |
| indexdate | 2024-07-09T20:34:15Z |
| institution | BVB |
| isbn | 9783540263449 3540263446 9783642065804 |
| language | English German French |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-014587898 |
| oclc_num | 255318841 |
| open_access_boolean | |
| owner | DE-703 DE-20 DE-83 DE-11 DE-91 DE-BY-TUM DE-706 |
| owner_facet | DE-703 DE-20 DE-83 DE-11 DE-91 DE-BY-TUM DE-706 |
| physical | XXIX, 556 S. Ill., graph. Darst. |
| publishDate | 2006 |
| publishDateSearch | 2006 |
| publishDateSort | 2006 |
| publisher | Springer |
| record_format | marc |
| series2 | Scientific computation |
| spelling | Sagaut, Pierre 1967- Verfasser (DE-588)1049515781 aut Introduction à la simulation des grandes échelles pour les écoulements de fluide incompressible Large eddy simulation for incompressible flows an introduction ; with 15 tables Pierre Sagaut 3. ed. Berlin [u.a.] Springer 2006 XXIX, 556 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Scientific computation Literaturverz. S. 513 - 551 Inkompressible Strömung - LES Mathematisches Modell Eddies Mathematical models Turbulence Mathematical models Numerisches Verfahren (DE-588)4128130-5 gnd rswk-swf Strömungsmechanik (DE-588)4077970-1 gnd rswk-swf LES Strömung (DE-588)4315616-2 gnd rswk-swf Inkompressible Strömung (DE-588)4129759-3 gnd rswk-swf Inkompressible Strömung (DE-588)4129759-3 s LES Strömung (DE-588)4315616-2 s DE-604 Numerisches Verfahren (DE-588)4128130-5 s 1\p DE-604 Strömungsmechanik (DE-588)4077970-1 s 2\p DE-604 Erscheint auch als Online-Ausgabe 978-3-540-26403-3 text/html http://deposit.dnb.de/cgi-bin/dokserv?id=2647693&prov=M&dok_var=1&dok_ext=htm Inhaltstext HEBIS Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014587898&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Sagaut, Pierre 1967- Large eddy simulation for incompressible flows an introduction ; with 15 tables Inkompressible Strömung - LES Mathematisches Modell Eddies Mathematical models Turbulence Mathematical models Numerisches Verfahren (DE-588)4128130-5 gnd Strömungsmechanik (DE-588)4077970-1 gnd LES Strömung (DE-588)4315616-2 gnd Inkompressible Strömung (DE-588)4129759-3 gnd |
| subject_GND | (DE-588)4128130-5 (DE-588)4077970-1 (DE-588)4315616-2 (DE-588)4129759-3 |
| title | Large eddy simulation for incompressible flows an introduction ; with 15 tables |
| title_alt | Introduction à la simulation des grandes échelles pour les écoulements de fluide incompressible |
| title_auth | Large eddy simulation for incompressible flows an introduction ; with 15 tables |
| title_exact_search | Large eddy simulation for incompressible flows an introduction ; with 15 tables |
| title_exact_search_txtP | Large eddy simulation for incompressible flows an introduction ; with 15 tables |
| title_full | Large eddy simulation for incompressible flows an introduction ; with 15 tables Pierre Sagaut |
| title_fullStr | Large eddy simulation for incompressible flows an introduction ; with 15 tables Pierre Sagaut |
| title_full_unstemmed | Large eddy simulation for incompressible flows an introduction ; with 15 tables Pierre Sagaut |
| title_short | Large eddy simulation for incompressible flows |
| title_sort | large eddy simulation for incompressible flows an introduction with 15 tables |
| title_sub | an introduction ; with 15 tables |
| topic | Inkompressible Strömung - LES Mathematisches Modell Eddies Mathematical models Turbulence Mathematical models Numerisches Verfahren (DE-588)4128130-5 gnd Strömungsmechanik (DE-588)4077970-1 gnd LES Strömung (DE-588)4315616-2 gnd Inkompressible Strömung (DE-588)4129759-3 gnd |
| topic_facet | Inkompressible Strömung - LES Mathematisches Modell Eddies Mathematical models Turbulence Mathematical models Numerisches Verfahren Strömungsmechanik LES Strömung Inkompressible Strömung |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=2647693&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014587898&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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