This book has been in preparation for over a decade. Hassan Aref and I had been making substantial additions and revisions each year, in our desire to reach the perfect book for a first course in Computational Fluid Dynamics (CFD). I sincerely wish that we had completed the book a few years ago, s
A first course in computational fluid dynamics
✍ Scribed by Aref H., Balachandar S
- Publisher
- Cambridge University Press
- Year
- 2018
- Tongue
- English
- Leaves
- 405
- Category
- Library
No coin nor oath required. For personal study only.
✦ Table of Contents
Contents......Page 5
Preface......Page 7
1.1 The Nature of CFD......Page 11
1.2 Overview of the Book......Page 13
1.3 Algorithm, Numerical Method, Implementation and Simulation......Page 15
1.4 Models and Methods......Page 19
1.5 Round-off Error......Page 25
1.6 A Hierarchy of Computation......Page 28
1.7 Ramification, Turbulence and the Complexity of Fluid Flows......Page 36
1.8 The Development of Computer Hardware......Page 41
1.9 Some Remarks on Software......Page 43
2.1 Numerical Methods as Mappings......Page 45
2.2 Fixed Points: Stability, Instability and Superstability......Page 47
2.3 Stability of Exact Solution, Implicit and Explicit Approximations......Page 50
2.4 More on Mappings......Page 53
2.5 Random Number Generation......Page 60
2.6 Newton’s Method in the Complex Plane......Page 62
2.7 Mappings and Fluid Flows......Page 66
3.1 Some Conventional Wisdom......Page 79
3.2 Explicit Euler and Implicit Euler Schemes......Page 81
3.3 Runge–Kutta Methods......Page 87
3.4 Adams–Bashforth–Moulton Methods......Page 94
3.5 Other Methods and Considerations......Page 100
3.6 Bashforth’s Problem: Sessile Drop on a Flat Plate......Page 102
3.7 Flow Due to a Collapsing Bubble......Page 105
3.8 Motion of a Solid in Ideal Fluid......Page 113
3.9 The Point-Vortex Equations......Page 116
3.10 Vortex Sheet Roll-up......Page 121
4 Spatial Discretization......Page 128
4.1 Forward, Backward and Central Difference......Page 129
4.2 Matrix Derivative Operators......Page 137
4.3 Compact Differences......Page 148
4.4 Non-uniform Discretization......Page 151
4.5 Numerical Interpolation......Page 154
4.6 Numerical Integration......Page 159
5 Boundary Value and Eigenvalue ODEs......Page 176
5.1 Linear Boundary Value Problems......Page 177
5.2 Nonlinear Boundary Value Problems......Page 185
5.3 Boundary Value Problems in Viscous Flow......Page 194
5.4 Eigenvalue Problems......Page 198
5.5 Hydrodynamic Instability......Page 202
6.1 Introduction......Page 220
6.2 Fourier Approximation......Page 221
6.3 Polynomial Approximation......Page 228
6.4 Galerkin, Tau, Collocation and Pseudo-spectral Methods......Page 236
6.5 Some Examples......Page 250
7.1 Definitions and Preliminaries......Page 254
7.2 The Advection Equation......Page 260
7.3 The Diffusion Equation......Page 269
7.4 The Advection–Diffusion Equation......Page 272
7.5 Godunov’s Theorem......Page 277
7.6 More on Stability: Non-periodic Boundary Conditions......Page 280
7.7 Burgers’ Equation......Page 289
7.8 Implicit Time-differencing......Page 293
7.9 Direct Solution with Matrix Representation......Page 297
8.1 Multi-dimensions......Page 303
8.2 Navier–Stokes Equations......Page 319
8.3 Navier–Stokes Equations in Spectral Form......Page 338
8.4 Finite Volume Formulation......Page 344
8.5 CFD for Complex Geometries......Page 347
8.6 Sharp Interface Cartesian Grid Method......Page 366
8.7 Immersed Boundary Method......Page 370
References......Page 385
Index......Page 400
📜 SIMILAR VOLUMES
How can the drag coefficient of a car be reduced? What factors govern the variation in the shape of the Earth's magnetosphere? What is the basis of weather prediction? These are examples of problems that can only be tackled with a sound knowledge of the principles and methods of fluid dynamics. This
This book provides a concise introduction to continuum mechanics, with a particular emphasis on fluid dynamics, suitable for upper undergraduate students in applied mathematics and related subjects. Starting with a preliminary chapter on tensors, the main topic of the book begins in earnest with
The theory of dynamical systems has given rise to the vast new area variously called applied dynamics, nonlinear science, or chaos theory. This introductory text covers the central topological and probabilistic notions in dynamics ranging from Newtonian mechanics to coding theory. The only prerequis
<p>Although many books have been written on computational fluid dynamics (CFD) and many written on combustion, most contain very limited coverage of the combination of CFD and industrial combustion. Furthermore, most of these books are written at an advanced academic level, emphasize theory over pra