This new edition presents the physical principles of wave propagation in fluid mechanics and hydraulics. The mathematical techniques that allow the behavior of the waves to be analyzed are presented, along with existing numerical methods for the simulation of wave propagation. Particular attention is paid to discontinuous flows, such as steep fronts and shock waves, and their mathematical treatment. Application exercises are given at the end of each chapter, enabling readers to test their understanding of the subject.

Vincent Guinot is professor of hydrodynamic modeling at the University of Montpellier, France. He teaches fluid mechanics, hydraulics, numerical methods and hydrodynamic modeling.

Introduction xv

Chapter 1. Scalar Hyperbolic Conservation Laws in One Dimension of Space 1

1.1. Definitions 1

1.2. Determination of the solution 9

1.3. A linear law: the advection equation 14

1.4. A convex law: the inviscid Burgers equation 21

1.5. Another convex law: the kinematic wave for free-surface hydraulics 28

1.6. A non-convex conservation law: the Buckley-Leverett equation 35

1.7. Advection with adsorption/desorption 42

1.8. Summary of Chapter 1 47

Chapter 2. Hyperbolic Systems of Conservation Laws in One Dimension of Space 53

2.1. Definitions 53

2.2. Determination of the solution 59

2.3. A particular case: compressible flows 63

2.4. A linear 2×2 system: the water hammer equations 68

2.5. A nonlinear 2×2 system: the Saint Venant equations 84

2.6. A nonlinear 3×3 system: the Euler equations 108

2.7. Summary of Chapter 2 122

Chapter 3. Weak Solutions and their Properties 131

3.1. Appearance of discontinuous solutions 131

3.2. Classification of waves 138

3.3. Simple waves 142

3.4. Weak solutions and their properties 144

3.5. Summary 157

Chapter 4. The Riemann Problem 161

4.1. Definitions – solution properties 161

4.2. Solution for scalar conservation laws 165

4.3. Solution for hyperbolic systems of conservation laws 173

4.4. Summary 189

Chapter 5. Multidimensional Hyperbolic Systems 193

5.1. Definitions 193

5.2. Derivation from conservation principles 197

5.3. Solution properties 200

5.4. Application: the two-dimensional shallow water equations 208

5.5. Summary 221

Chapter 6. Finite Difference Methods for Hyperbolic Systems 223

6.1. Discretization of time and space 223

6.2. The method of characteristics (MOC) 227

6.3. Upwind schemes for scalar laws 244

6.4. The Preissmann scheme 250

6.5. Centered schemes 260

6.6. TVD schemes 263

6.7. The flux splitting technique 271

6.8. Conservative discretizations: Roe’s matrix 280

6.9. Multidimensional problems 284

6.10. Summary 289

Chapter 7. Finite Volume Methods for Hyperbolic Systems 293

7.1. Principle 293

7.2. Godunov’s scheme 299

7.3. Higher-order Godunov-type schemes 313

7.4. EVR approach 319

7.5. Summary 326

Chapter 8. Finite Element Methods for Hyperbolic Systems 329

8.1. Principle for one-dimensional scalar laws 329

8.2. One-dimensional hyperbolic systems 340

8.3. Extension to multidimensional problems 344

8.4. Discontinuous Galerkin techniques 347

8.5. Application examples 354

8.6. Summary 368

Chapter 9. Treatment of Source Terms 371

9.1. Introduction 371

9.2. Problem position 372

9.3. Source term upwinding techniques 377

9.4. The quasi-steady wave algorithm 386

9.5. Balancing techniques 390

9.6. Computational example 403

9.7. Summary 408

Chapter 10. Sensitivity Equations for Hyperbolic Systems 411

10.1. Introduction 411

10.2. Forward sensitivity equations for scalar laws 413

10.3. Forward sensitivity equations for hyperbolic systems 422

10.4. Adjoint sensitivity equations 435

10.5. Finite volume solution of the forward sensitivity equations 441

10.6. Summary 447

Chapter 11. Modeling in Practice 449

11.1. Modeling software 449

11.2. Mesh quality 454

11.3. Boundary conditions 459

11.4. Numerical parameters 464

11.5. Simplifications in the governing equations 466

11.6. Numerical solution assessment 472

11.7. Getting started with a simulation package 477

Appendix A. Linear Algebra 479

Appendix B. Numerical Analysis 487

Appendix C. Approximate Riemann Solvers 505

Appendix D. Summary of the Formulae 521

Bibliography 527

Index 537

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