Alain Dervieux, Frederic Alauzet, Adrien Loseille

Mesh Adaptation for Computational Fluid Dynamics, Volume 1

Continuous Riemannian Metrics and Feature-Based Adaptation

• Gebundenes Buch

Produktbeschreibung

Simulation technology, and computational fluid dynamics (CFD) in particular, is essential in the search for solutions to the modern challenges faced by humanity. Revolutions in CFD over the last decade include the use of unstructured meshes, permitting the modeling of any 3D geometry. New frontiers point to mesh adaptation, allowing not only seamless meshing (for the engineer) but also simulation certification for safer products and risk prediction.

Mesh Adaptation for Computational Dynamics 1 is the first of two volumes and introduces basic methods such as feature-based and multiscale adaptation for steady models. Also covered is the continuous Riemannian metrics formulation which models the optimally adapted mesh problem into a pure partial differential statement. A number of mesh adaptative methods are defined based on a particular feature of the simulation solution.

This book will be useful to anybody interested in mesh adaptation pertaining to CFD, especiallyresearchers, teachers and students.

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Produktdetails

• Verlag: Wiley & Sons / Wiley-ISTE
• Artikelnr. des Verlages: 1W786308310
• 1. Auflage
• Seitenzahl: 256
• Erscheinungstermin: 21. September 2022
• Englisch
• Abmessung: 240mm x 161mm x 18mm
• Gewicht: 666g
• ISBN-13: 9781786308313
• ISBN-10: 1786308312
• Artikelnr.: 64538991

Autorenporträt

Alain Dervieux is chief scientist at the Société Lemma and emeritus senior scientist at Inria, Sophia Antipolis. His main research interests are computational fluid dynamics, particularly approximations on unstructured meshes. Frederic Alauzet is a senior researcher at Inria Saclay and adjunct professor at Mississippi State University. His research focuses on anisotropic mesh adaptation, advanced solvers, mesh generation and moving mesh methods. Adrien Loseille is a research scientist at Inria Saclay, working in Luminary Cloud. His main domains of interest are unstructured mesh generation and adaptation for computational fluid dynamics. Bruno Koobus is professor at the University of Montpellier. His main research interests cover computational fluid dynamics, in particular the development of numerical methods on fixed and moving meshes, turbulence modeling and parallel algorithms.

Inhaltsangabe

Acknowledgments ix

Introduction xi

Chapter 1 CFD Numerical Models 1

1.1. Compressible flow 1

1.1.1. Introduction 1

1.1.2. Spatial representation 4

1.1.3. Spatial second-order accuracy: MUSCL 13

1.1.4. Low dissipation advection schemes 16

1.1.5. Time advancing 17

1.1.6. Positivity of mixed element-volume formulations 20

1.2. Viscous compressible flows 27

1.2.1. Model for laminar flows 27

1.2.2. Boundary conditions spatial discretization 31

1.2.3. No-slip boundary condition 31

1.2.4. Slip boundary condition 31

1.2.5. Influence stencil 32

1.2.6. Spalart-Allmaras one equation turbulence model 33

1.2.7. SA one-equation model without trip and without ft2 term 33

1.2.8. "Standard" SA one-equation model (without trip) 35

1.2.9. "Full" SA one-equation model (with trip) 35

1.2.10. Mixed element-volume discretization of SA 35

1.2.11. Implicit time integration 39

1.3. A multi-fluid incompressible model 40

1.3.1. Introduction 40

1.3.2. Bi-fluid incompressible Navier-Stokes equations 40

1.3.3. Finite element approximation 42

1.3.4. Error estimate for the level set advection 44

1.3.5. Provisional conclusion on scheme accuracy 46

1.4. Appendix: circumcenter cells 47

1.4.1. Two-dimensional circumcenter cells 47

1.4.2. Three-dimensional circumcenter cells 48

1.5. Notes 49

Chapter 2 Mesh Convergence and Barriers 51

2.1. Introduction 51

2.2. The early capturing property 53

2.2.1. Smoothness, non-smoothness, heterogeneity 53

2.2.2. Behavior of the uniform-mesh strategy 54

2.2.3. An example of 1D adaptation 56

2.3. Unstructured meshes in finite element method 58

2.3.1. Basics of finite element meshes 58

2.3.2. Anisotropy 59

2.4. Accuracy of an interpolation 60

2.5. Isotropic adaptative interpolation 61

2.5.1. The 2D case 61

2.5.2. A first 3D case 62

2.5.3. A limiting barrier for the isotropic 3D case 64

2.6. Anisotropic adaptative interpolation 64

2.6.1. Anisotropic adaptation of a Heaviside function 64

2.6.2. Heaviside function with curved discontinuity 66

2.7. Numerical illustration: anisotropic versus isotropic interpolation 67

2.8. CFD applications of anisotropic capture 68

2.8.1. Pressure with discontinuous gradient 68

2.8.2. Scramjet flow 68

2.9. Unsteady case 71

2.9.1. Barriers for second-order time-leveled case 72

2.9.2. Barriers for third-order time-leveled case 74

2.10. Conclusion 75

2.11. Notes 76

Chapter 3 Mesh Representation 77

3.1. Introduction 77

3.2. An introductory example 78

3.3. Euclidean metric space 81

3.3.1. Geometric interpretation 84

3.3.2. Natural metric mapping 85

3.4. Riemannian metric space 85

3.5. Generation of adapted anisotropic meshes 90

3.5.1. Unit element 90

3.5.2. Geometric invariants 92

3.5.3. Global duality 95

3.5.4. Quantifying mesh anisotropy 103

3.6. Operations on metrics 104

3.6.1. Metric intersection 104

3.6.2. Metric interpolation 106

3.7. Computation of geometric quantities 108

3.7.1. Computation of lengths 108

3.7.2. Computation of volumes 110

3.8. Notes 110

3.8.1. A short history 110

Chapter 4 Geometric Error