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Introduction Definition of an Ideal Turbulence Model How Complex Does a Turbulence Model Have to Be Comments on the Physics of Turbulence A Brief History of Turbulence Modeling The Closure Problem Reynolds Averaging Correlations Reynolds-Averaged Equations The Reynolds-Stress Equation Algebraic Models Molecular Transport of Momentum The Mixing-Length Hypothesis Application to Free Shear Flows The Far Wake The Mixing Layer The Jet Modern Variants of the Mixing-Length Model Cebeci-Smith Model Baldwin-Lomax Model Application to Wall-Bounded Flows Channel and Pipe Flow Boundary Layers Separated Flows The 12-Equation Model Range of Applicability Turbulence Energy Equation Models The Turbulence Energy Equation One-Equation Models Two-Equation Models The k-w Model The k-e Model Other Two-Equation Models Closure Coefficients Application to Free Shear Flows Perturbation Analysis of the Boundary Layer The Log Layer The Defect Layer The Viscous Sublayer Surface Boundary Conditions Wall Functions Surface Roughness Surface Mass Injection Application to Wall-Bounded Flows Channel and Pipe Flow Boundary Layers Low-Reynolds-Number Effects Asymptotic Consistency Transition Separated Flows Range of Applicability Effects of Compressibility Physical Considerations Favre Averaging Fayre-Averaged Equations Compressible-Flow Closure Approximations Dilatation Dissipation Compressible Law of the Wall Compressible Boundary Layers Shock-Induced Boundary-Layer Separation Beyond the Boussinesq Approximation Boussinesq-Approximation Deficiencies Nonlinear Constitutive Relations Second-Order Closure Models Closure Approximations Launder-Reece-Rodi Model Wilcox Multiscale Model Application to Homogeneous Turbulent Flows Application to Free Shear Flows Application to Wall-Bounded Flows Surface Boundary Conditions Channel and Pipe Flow Boundary Layers Application to Separated Flows Range of Applicability Numerical Considerations Multiple Time Scales and Stiffness Numerical Accuracy Near Boundaries Solid Surfaces TurbulentNonturbulent Interfaces.Parabolic Marching Methods Elementary Time-Marching Methods Block-Implicit Methods Solution Convergence and Grid Sensitivity New Horizons Background Information Direct Numerical Simulation Large Eddy Simulation Chaos Cartesian Tensor Analysis Rudiments of Perturbation Methods Companion Software Overview Program Structure Program Input Program Output Free Shear Flows Program WAKE: Far Wake Program MIXER: Mixing Layer Program JET: Plane, Round and Radial Jet Program PLOTF: Plotting Utility Channel and Pipe Flow Program PIPE: Channel and Pipe Flow Program PLOTP: Plotting Utility Boundary-Layer Perturbation Analysis Program SUBLAY: Viscous Sublayer Program DEFECT: Defect Layer Program PLOTS: Sublayer Plotting Utility Program PLOTD: Defect-Layer Plotting Utility Miscellaneous Routines Function ERF: Error Function Subroutine NAMSYS: Fortran Portability Subroutine RKGS: Runge-Kutta Integration Subroutine RTNI: Newtons Iterations Subroutine TRI: Tridiagonal Matrix Inversion Diskette Contents Program EDDYBL Overview Acknowledgments Required Hardware and Software Getting Started Quickly Installing SETEBL Boot-Console Installation Remote-Terminal Installation Installing EDDYBL Running a General Case Preliminary Operations Units Selection Main Parameters Taking a Lunch Break EdgeWall Conditions Preparing EdgeWall Condition Data Files Generating EdgeWall Conditions Initial Profiles Selecting a Turbulence Model Logical Unit Numbers and Plotting Files Running the Boundary-Layer Program Restart Run Gas Properties and Profile Printing Selecting Laminar, Transitional or Turbulent Flow Applicability and Limitations EDDYBL Output Parameters Program PLOTEB: Plotting Utility Adapting to Other CompilersSystems Compile and Link Commands Additional Technical Information Mean-Flow Equations k-w and Multiscale Model Equations k-e Model Equations Transformed Equations Software Package Modules Plotting Program Details Font Files Video Devices Plotting Colors Hardcopy Devices Bibliography Index.To this respect, computational fluid dynamics (CFD) plays an important role in the prediction of various (complex) flow and heat transport characteristics.
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