151-0114-00L Turbulence Modeling
Semester | Spring Semester 2017 |
Lecturers | D. W. Meyer-Massetti |
Periodicity | yearly recurring course |
Language of instruction | English |
Abstract | CFD is applied for the simulation of turbulent flows in engineering and the environment. Turbulence models are a crucial component of most CFD solvers. After clearly motivating their use, a model overview is presented. Model formulations and limitations are discussed and illustrated with application examples. The course is accompanied by theoretical and application-oriented (OpenFOAM) exercises. |
Objective | By the end of the course, you will have an overview of the most widely used turbulence models. Based on computational constraints, the flow configuration, and the required output information, you will be able to select a suitable turbulence model. Moreover, you will learn about different model development strategies and validation techniques. |
Content | - Direct numerical simulation (DNS): pseudo-spectral solution method, resolution requirements, computational costs - Reynolds-averaged Navier-Stokes (RANS) turbulent-viscosity models: algebraic models, one-equation models, two-equation models, wall modeling, wall functions - RANS Reynolds-stress models: return-to-isotropy models, near-wall treatment - Large eddy simulation (LES): Smagorinsky model and other residual stress models, implicit LES and MILES - Probability density function (PDF) methods: Lagrangian modeling approach, relation to RANS equations, solution algorithm |
Lecture notes | The course is based on part two of the book "Turbulent Flows" by Stephen B. Pope. Additional notes and slide copies are provided for download. |
Literature | S.B. Pope, Turbulent Flows, Cambridge University Press, 2000 P. Sagaut, Large Eddy Simulation for Incompressible Flows, Springer, 2006 |
Prerequisites / Notice | Before attending this course, you should have completed Turbulent Flows and an introductory course on stochastics (probability theory and statistics). |