Numerical Computation of Internal and External Flows : Computational Methods for Inviscid and Viscous Flows (Wiley Series in Numerical Methods in Engi 〈002〉

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Numerical Computation of Internal and External Flows : Computational Methods for Inviscid and Viscous Flows (Wiley Series in Numerical Methods in Engi 〈002〉

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Full Description

Numerical Computation of Internal and External Flows Volume 2: Computational Methods for Inviscid and Viscous Flows C. Hirsch, Vrije Universiteit Brussel, Brussels, Belgium

This second volume deals with the applications of computational methods to the problems of fluid dynamics. It complements the first volume to provide an excellent reference source in this vital and fast growing area. The author includes material on the numerical computation of potential flows and on the most up-to-date methods for Euler and Navier-Stokes equations. The coverage is comprehensive and includes detailed discussion of numerical techniques and algorithms, including implementation topics such as boundary conditions. Problems are given at the end of each chapter and there are comprehensive reference lists. Of increasing interest, the subject has powerful implications in such crucial fields as aeronautics and industrial fluid dynamics. Striking a balance between theory and application, the combined volumes will be useful for an increasing number of courses, as well as to practitioners and researchers in computational fluid dynamics.

Contents Preface Nomenclature Part V: The Numerical Computation of Potential Flows Chapter 13 The Mathematical Formulations of the Potential Flow Model Chapter 14 The Discretization of the Subsonic Potential Equation Chapter 15 The Computation of Stationary Transonic Potential Flows Part VI: The Numerical Solution of the System of Euler Equations Chapter 16 The Mathematical Formulation of the System of Euler Equations Chapter 17 The Lax - Wendroff Family of Space-centred Schemes Chapter 18 The Central Schemes with Independent Time Integration Chapter 19 The Treatment of Boundary Conditions Chapter 20 Upwind Schemes for the Euler Equations Chapter 21 Second-order Upwind and High-resolution Schemes Part VII: The Numerical Solution of the Navier-Stokes Equations Chapter 22 The Properties of the System of Navier-Stokes Equations Chapter 23 Discretization Methods for the Navier-Stokes Equations Index

Contents

Preface xv

Nomenclature xix

Part V: The Numerical Computation of Potential Flows 1

Chapter 13 The Mathematical Formulations of the Potential Flow Model 4

13.1 Conservative Form of the Potential Equation 4

13.2 The Non-conservative Form of the Isentropic Potential Flow Model 6

13.2.1 Small-perturbation potential equation 7

13.3 The Mathematical Properties of the Potential Equation 9

13.3.1 Unsteady potential flow 9

13.3.2 Steady potential flow 9

13.4 Boundary Conditions 14

13.4.1 Solid wall boundary condition 14

13.4.2 Far field conditions 15

13.4.3 Cascade and channel flows 17

13.4.4 Circulation and Kutta condition 18

13.5 Integral or Weak Formulation of the Potential Model 18

13.5.1 Bateman variational principle 19

13.5.2 Analysis of some properties of the variational integral 20

Chapter 14 The Discretization of the Subsonic Potential Equation 26

14.1 Finite Difference Formulation 27

14.1.1 Numerical estimation of the density 29

14.1.2 Curvilinear mesh 31

14.1.3 Consistency of the discretization of metric coefficients 34

14.1.4 Boundary conditions—curved solid wall 36

14.2 Finite Volume Formulation 38

14.2.1 Jameson and Caughey's finite volume method 39

14.3 Finite Element Formulation 42

14.3.1 The finite element—Galerkin method 43

14.3.2 Least squares or optimal control approach 47

14.4 Iteration Scheme for the Density 47

Chapter 15 The Computation of Stationary Transonic Potential Flows 57

15.1 The Treatment of the Supersonic Region: Artificial Viscosity—Density and Flux Upwinding 61

15.1.1 Artificial viscosity—non-conservative potential equation 62

15.1.2 Artificial viscosity—conservative potential equation 66

15.1.3 Artificial compressibility 67

15.1.4 Artificial flux or flux upwinding 70

15.2 Iteration Schemes for Potential Flow Computations 77

15.2.1 Line relaxation schemes 77

15.2.2 Guidelines for resolution of the discretized potential equation 81

15.2.3 The alternating direction implicit method—approximate factorization schemes 88

15.2.4 Other techniques—multigrid methods 98

15.3 Non-uniqueness and Non-isentropic Potential Models 104

15.3.1 Isentropic shocks 105

15.3.2 Non-uniqueness and breakdown of the transonic potential flow model 105

15.3.3 Non-isentropic potential models 112

15.4 Conclusions 117

Part VI: The Numerical Solution of the System of Euler Equations 125

Chapter 16 The Mathematical Formulation of the System of Euler Equations 132

16.1 The Conservative Formulation of the Euler Equations 132

16.1.1 Integral conservative formulation of the Euler equations 133

16.1.2 Differential conservative formulation 134

16.1.3 Cartesian system of coordinates 134

16.1.4 Discontinuities and Rankine-Hugoniot relations—entropy condition 135

16.2 The Quasi-linear Formulation of the Euler Equations 138

16.2.l The Jacobian matrices for conservative variables 138

16.2.2 The Jacobian matrices for primitive variables 145

16.2.3 Transformation matrices between conservative and non-conservative variables 147

16.3 The Characteristic Formulation of the Euler Equations—Eigenvalues and Compatibility Relations 150

16.3.1 General properties of characteristics 151

16.3.2 Diagonalization of the Jacobian matrices 153

16.3.3 Compatibility equations 154

16.4 Characteristic Variables and Eigenvalues for One-dimensional Flows 157

16.4.1 Eigenvalues and eigenvectors of Jacobian matrix 158

16.4.2 Characteristic variables 162

16.4.3 Characteristics in the xt-plane—shocks and contact discontinuities 168

16.4.4 Physical boundary conditions 171

16.4.5 Characteristics and simple wave solutions 173

16.5 Eigenvalues and Compatibility Relations in Multidimensional Flows 176

16.5.1 Jacobian eigenvalues and eigenvectors in primitive variables 177

16.5.2 Diagonalization of the conservative Jacobians 180

16.5.3 Mach cone and compatibility relations 184

16.5.4 Boundary conditions 191

16.6 Some Simple Exact Reference Solutions for One-dimensional Inviscid Flows 196

16.6.1 The linear wave equation 196

16.6.2 The inviscid Burgers equation 196

16.6.3 The shock tube problem or Riemann problem 204

16.6.4 The quasi-one-dimensional nozzle flow 211

Chapter 17 The Lax-Wendroff Family of Space-centred Schemes 224

17.1 The Space-centred Explicit Schemes of First Order 226

17.1.1 The one-dimensional Lax-Friedrichs scheme 226

17.1.2 The two-dimensional Lax-Friedrichs scheme 229

17.1.3 Corrected viscosity scheme 233

17.2 The Space-centred Explicit Schemes of Second Order 234

17.2.1 The basic one-dimensional Lax-Wendroff scheme 234

17.2.2 The two-step Lax-Wendroff schemes in one dimension 238

17.2.3 Lerat and Peyret's  family of non-linear two-step Lax-Wendroff schemes 246

17.2.4 One-step Lax-Wendroff schemes in two dimensions 251

17.2.5 Two-step Lax-Wendroff schemes in two dimensions 258

17.3 The Concept of Artificial Dissipation or Artificial Viscosity 272

17.3.1 General form of artificial dissipation terms 273

17.3.2 Von Neumann-Richtmyer artificial viscosity 274

17.3.3 Higher-order artificial viscosities 279

17.4 Lerat's Implicit Schemes of Lax-Wendroff Type 283

17.4.1 Analysis for linear systems in one dimension 285

17.4.2 Construction of the family of schemes 288

17.4.3 Extension to non-linear systems in conservation form 292

17.4.4 Extension to multi-dimensional flows 296

17.5 Summary 296

Chapter 18 The Central Schemes with Independent Time Integration 307

18.1 The Central Second-order Implicit Schemes of Beam and Warming in One Dimension 309

18.1.1 The basic Beam and Warming schemes 310

18.1.2 Addition of artificial viscosity 315

18.2 The Multidimensional Implicit Beam and Warming Schemes 326

18.2.1 The diagonal variant of Pulliam and Chaussee 328

18.3 Jameson's Multistage Method 334

18.3.1 Time integration 334

18.3.2 Convergence acceleration to steady state 335

Chapter 19 The Treatment of Boundary Conditions 344

19.1 One-dimensional Boundary Treatment for Euler Equations 345

19.1.1 Characteristic boundary conditions 346

19.1.2 Compatibility relations 347

19.1.3 Characteristic boundary conditions as a function of conservative and primitive variables 349

19.1.4 Extrapolation methods 353

19.1.5 Practical implementation methods for numerical boundary conditions 357

19.1.6 Nonreflecting boundary conditions 369

19.2 Multidimensional Boundary Treatment 372

19.2.1 Physical and numerical boundary conditions 372

19.2.2 Multidimensional compatibility relations 376

19.2.3 Farfield treatment for steadystate flows 377

19.2.4 Solid wall boundary 379

19.2.5 Nonreflective boundary conditions 384

19.3 The Far-field Boundary Corrections 385

19.4 The Kutta Condition 395

19.5 Summary 401

Chapter 20 Upwind Schemes for the Euler Equations 408

20.1 The Basic Principles of Upwind Schemes 409

20.2 One-dimensional Flux Vector Splitting 415

20.2.1 Steger and Warming flux vector splitting 415

20.2.2 Properties of split flux vectors 417

20.2.3 Van Leer's flux splitting 420

20.2.4 Non-reflective boundary conditions and split fluxes 425

20.3 One-dimensional Upwind Discretizations Based on Flux Vector Splitting 426

20.3.1 First-order explicit upwind schemes 426

20.3.2 Stability conditions for first-order flux vector splitting schemes 428

20.3.3 Non-conservative firstorder upwind schemes 438

20.4 Multi-dimensional Flux Vector Splitting 438

20.4.1 Steger and Warming flux splitting 440

20.4.2 Van Leer flux splitting 440

20.4.3 Arbitrary meshes 441

20.5 The Godunov-type Schemes 443

20.5.1 The basic Godunov scheme 444

20.5.2 Osher's approximate Riemann solver 453

20.5.3 Roe's approximate Riemann solver 460

20.5.4 Other Godunov-type methods 469

20.5.5 Summary 472

20.6 First-order Implicit Upwind Schemes 473

20.7 Multi-dimensional First-order Upwind Schemes 475

Chapter 21 Second-order Upwind and High-resolution Schemes 493

21.1 General Formulation of Higher-order Upwind Schemes 494

21.1.1 Higher-order projection stages-variable extrapolation or MUSCL approach 495

21.1.2 Numerical flux for higher-order upwind schemes 498

21.1.3 Second-order space- and time-accurate upwind schemes based on variable extrapolation 499

21.1.4 Linearized analysis of second-order upwind schemes 502

21.1.5 Numerical flux for higher-order upwind schemes—flux extrapolation 504

21.1.6 Implicit second-order upwind schemes 512

21.1.7 Implicit second-order upwind schemes in two dimensions 514

21.1.8 Summary 516

21.2 The Definition of High-resolution Schemes 517

21.2.1 The generalized entropy condition for inviscid equations 519

21.2.2 Monotonicity condition 525

21.2.3 Total variation diminishing (TVD)schemes 528

21.3 Second-order TVD Semi-discretized Schemes with Limiters 536

21.3.1 Definition of limiters for the linear convection equation 537

21.3.2 General definition of flux limiters 550

21.3.3 Limiters for variable extrapolation—MUSCL—method 552

21.4 Timeintegration Methods for TVD Schemes 556

21.4.1 Explicit TVD schemes of first-order accuracy in time 557

21.4.2 Implicit TVD schemes 558

21.4.3 Explicit second-order TVD schemes 560

21.4.4 TVD schemes and artificial dissipation 564

21.4.5 TVD limiters and the entropy condition 568

21.5 Extension to Non-linear Systems and to Multi-dimensions 570

21.6 Conclusions to Part VI 583

Part VII: The Numerical Solution of the Navier-Stokes Equations 595

Chapter 22 The Properties of the System of Navier-Stokes Equations 597

22.1 Mathematical Formulation of the Navier-Stokes Equations 597

22.1.1 Conservative form of the Navier-Stokes equations 597

22.1.2 Integral form of the Navier-Stokes equations 599

22.1.3 Shock waves and contact layers 600

22.1.4 Mathematical properties and boundary conditions 601

22.2 Reynolds-averaged Navier-Stokes Equations 603

22.2.1 Turbulent-averaged energy equation 604

22.3 Turbulence Models 606

22.3.1 Algebraic models 608

22.3.2 One- and two-equation models—k-ε models 613

22.3.3 Algebraic Reynolds stress models 615

22.4 Some Exact One-dimensional Solutions 618

22.4.1 Solutions to the linear convection-diffusion equation 618

22.4.2 Solutions to Burgers equation 620

22.4.3 Other simple test cases 621

Chapter 23 Discretization Methods for the Navier-Stokes Equations 624

23.1 Discretization of Viscous and Heat Conduction Terms 625

23.2 Time-dependent Methods for Compressible Navier-Stokes Equations 627

23.2.1 First-order explicit central schemes 628

23.2.2 One-step Lax-Wendroff schemes 629

23.2.3 Two-step Lax-Wendroff schemes 630

23.2.4 Central schemes with separate space and time discretization 636

23.2.5 Upwind schemes 648

23.3 Discretization of the Incompressible Navier-Stokes Equations 654

23.3.1 Incompressible Navier-Stokes equations 654

23.3.2 Pseudo-compressibility method 656

23.3.3 Pressure correction methods 661

23.3.4 Selection of the space discretization 666

23.4 Conclusions to Part VII 674

Index 685