Module #1 Introduction to Advanced Turbulence Modeling Overview of turbulence modeling, importance of advanced modeling, and course objectives
Module #2 Review of Basic Turbulence Concepts Revisit fundamentals of turbulence, including Navier-Stokes equations, Reynolds number, and turbulence scales
Module #3 Large Eddy Simulation (LES) Fundamentals Introduction to LES, filtering, and modeling of subgrid scales
Module #4 LES Modeling Approaches Discussion of different LES modeling approaches, including Smagorinsky, dynamic Smagorinsky, and structure-based models
Module #5 Wall-Modeled LES Introduction to wall-modeled LES, and its application to wall-bounded flows
Module #6 Hybrid RANS-LES Methods Overview of hybrid RANS-LES methods, including Detached Eddy Simulation (DES) and Scale-Adaptive Simulation (SAS)
Module #7 Direct Numerical Simulation (DNS) of Turbulent Flows Introduction to DNS, its limitations, and applications to turbulent flow problems
Module #8 Turbulence Modeling for Complex Flows Challenges and approaches to modeling complex flows, including those with strong buoyancy, rotation, and non-uniform density
Module #9 Turbulence Modeling for Multiphase Flows Introduction to turbulence modeling for multiphase flows, including gas-liquid and solid-liquid flows
Module #10 Turbulence Modeling for Reacting Flows Challenges and approaches to modeling turbulent reacting flows, including combustion and chemical reactions
Module #11 Advanced Turbulence Modeling for Aerospace Applications Turbulence modeling for aerospace applications, including hypersonic flows, scramjets, and rocket engines
Module #12 Advanced Turbulence Modeling for Wind Engineering Turbulence modeling for wind engineering applications, including wind farms, buildings, and bridges
Module #13 Turbulence Modeling for Environmental Flows Turbulence modeling for environmental flows, including ocean and atmospheric flows
Module #14 Uncertainty Quantification in Turbulence Modeling Introduction to uncertainty quantification in turbulence modeling, including Bayesian approaches and ensemble methods
Module #15 Validation and Verification of Turbulence Models Best practices for validation and verification of turbulence models, including experimental and computational approaches
Module #16 High-Performance Computing for Turbulence Simulations Overview of high-performance computing architectures and parallelization strategies for turbulence simulations
Module #17 Machine Learning for Turbulence Modeling Introduction to machine learning approaches for turbulence modeling, including Gaussian processes and neural networks
Module #18 Turbulence Modeling for Industrial Applications Turbulence modeling for industrial applications, including chemical processing, power generation, and oil and gas
Module #19 Advanced Topics in RANS Modeling Advanced topics in RANS modeling, including non-linear eddy viscosity models and Reynolds stress models
Module #20 Advanced Topics in DNS and LES Advanced topics in DNS and LES, including implicit LES and adaptive mesh refinement
Module #21 Turbulence Modeling for Complex Geometries Turbulence modeling for complex geometries, including curved surfaces and non-uniform meshes
Module #22 Turbulence Modeling for Unsteady Flows Turbulence modeling for unsteady flows, including flows with oscillating boundaries and time-dependent forcing
Module #23 Advanced Topics in Hybrid RANS-LES Methods Advanced topics in hybrid RANS-LES methods, including delayed DES and improved SAS
Module #24 Turbulence Modeling for Non-Newtonian Fluids Turbulence modeling for non-Newtonian fluids, including power-law and viscoelastic fluids
Module #25 Turbulence Modeling for Porous Media Flows Turbulence modeling for porous media flows, including flows through packed beds and filters
Module #26 Advanced Topics in Turbulence Modeling for Aerospace Applications Advanced topics in turbulence modeling for aerospace applications, including turbulent boundary layers and shock-wave interactions
Module #27 Turbulence Modeling for Wind Turbines and Wind Farms Turbulence modeling for wind turbines and wind farms, including wake effects and farm-to-farm interactions
Module #28 Turbulence Modeling for Coastal and Ocean Engineering Turbulence modeling for coastal and ocean engineering, including coastal erosion and ocean currents
Module #29 Advanced Topics in Machine Learning for Turbulence Modeling Advanced topics in machine learning for turbulence modeling, including deep learning and transfer learning
Module #30 Course Wrap-Up & Conclusion Planning next steps in Advanced Topics in Turbulence Modeling career
