Applied Computational Fluid Dynamics and Turbulence Modeling: Practical Tools, Tips and Techniques (Hardcover, 2019)

1. Motivation for CFD and Turbulence Modeling.

1.1 Computational Advantages over the Experimental Approach

1.2 Jobs and Future Employment Trends

2. Review of Basics

2.1 Conservation of  Mass

2.2 Conservation of Momentum

2.3 Conservation of Energy

2.4 Turbulence Theory

2.5 Turbulence Modeling

2.6 The Crucial Importance of the Reynolds Number

2.7 Isotropic Turbulence Decay and Applications

3. Applied Theory?Practical Turbulence Estimates

3.1 Integral Eddies

3.2 Taylor Eddies

3.3 Kolmogorov Eddies

3.4 The “LIKE” Algorithm?Computing Your Own Epsilon, Turbulent Kinetic Energy, and Turbulence Kinematic Viscosity, and Reynolds Stresses

3.5 Turbulence and Surface Dimpling

4. Turbulence Model Selection

4.1 Top RANS Turbulence Models

4.2 Avoid the Standard k-? Model

4.3 SST vs. 2006 k-?4.4 The Increasing Power of LES and DNS Modeling

5. Best Practices of the CFD and Turbulence Trade

5.1 Developing a Bullet-Proof Mesh

5.2 Boundary Condition Recommendations

5.3 RANS Modeling Recommendations

5.4 LES Modeling Recommendations

5.5 DNS Modeling Recommendations

5.6 Miscellaneous Do’s and Don’ts of the Trade

5.7 Turbulent Natural Circulation Modeling Hints

5.8 Data Visualization Tips

5.9 Extracting Fluctuating Properties

6. Generating Reliable Simulations

6.1 Verification and Validation Terminology

6.2 Code Verification: Order of Accuracy, Exact Solutions, Method of Manufactured Solutions (MMS)

6.3 Solution Verification: Richardson Extrapolation, Roache’s grid convergence index (GCI)

6.4 Sensitivity Analysis 

6.5 Model Validation

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