Computational Modeling of the Turbulent Flow (FSI-9VMT)

Academic year 2023/2024
Supervisor: doc. Ing. Pavel Rudolf, Ph.D.  
Supervising institute: all courses guaranted by this institute
Teaching language: Czech or English
Aims of the course unit:
Presentation of more advanced approaches to computational fluid dynamics, always in connection to problematics of PhD thesis topic.
Learning outcomes and competences:
Acquiring the knowledge of advanced turbulent flow modeling (both theoretically and in practice) to solve the problems contained within PhD thesis topic.
Prerequisites:
Fluid mechanics, differential and integral calculus, work with PC, knowledge of work in CFD environment is advantage
Course contents:
Course is aimed on theory and practice of turbulent flow simulations. More advanced topics (in relation to currently solved problematics within PhD thesis) are discussed after a short intro to finite volume method and turbulence modeling: multiphase flow simulations (open channel flows, cavitation, solid particles, bubbles), flow in rotating frame of reference, hybrid turbulence modeling and large eddy simulation.
Teaching methods and criteria:
The course is taught through lectures and individual consultations, which are focused on CFD problematics solved within PhD thesis.
Assesment methods and criteria linked to learning outcomes:

Exam: technical report written in English concerning problematics solved within PhD thesis topic + discussion on theory of computational fluid dynamics
Evaluation: passed/failed

Controlled participation in lessons:
Lectures and individual consultations.
Type of course unit:
    Lecture  10 × 2 hrs. optionally                  
Course curriculum:
    Lecture 1. Finite volume method (fundamentals, solving system of equations, solution relaxation, convergence)
2. Finite volume method (interpolation schemes, accuracy vs. stability)
3. Turbulence modeling (properties of turbulence, RANS, closure problem)
4. Turbulence modeling (Boussinesque hypothesis, eddy viscosity models, Reynolds stress model)
5. Large eddy simulation
6. Hybrid turbulence models (scale resolving models)
7. Multiphase flow (types, physical description, Eulerian and Lagrangian approaches)
8. Open channel flows (volume of fluid), cavitating flows (cavitation models), modeling the discrete phase (DPM)
9. Modeling flow in rotating frame of reference (frozen rotor, mixing plane, moving wall)
10. Topic according to current interest and need

Literature - fundamental:
1. Vesteeg HK, Malalasekera W. 1995. An Introduction to Computational Fluid Dynamics. The finite Volume Method. Longman, London
2. Wilcox, D.C.: Turbulence Modeling for CFD. DCW Industries. 1998
3. BRENNEN, C.E. Fundamentals of Multiphase Flow. 1. Cambridge University Press, 2005.
4. DAVIDSON, Lars. Fluid mechanics, turbulent flow and turbulence modeling [online]. 1. Göteborg: Chalmers University of Technology, 2019 [cit. 2019-10-28]. Dostupné z: http://www.tfd.chalmers.se/˜lada/postscript files/solids-and-fluids turbulent-flow turbulence-modelling.pdf
The study programmes with the given course:
Programme Study form Branch Spec. Final classification   Course-unit credits     Obligation     Level     Year     Semester  
D-APM-P full-time study --- -- DrEx 0 Recommended course 3 1 S
D-ENE-P full-time study --- no specialisation -- DrEx 0 Recommended course 3 1 W
D-IME-P full-time study --- no specialisation -- DrEx 0 Recommended course 3 1 W
D-KPI-P full-time study --- no specialisation -- DrEx 0 Recommended course 3 1 S
D-APM-K combined study --- -- DrEx 0 Recommended course 3 1 S
D-ENE-K combined study --- no specialisation -- DrEx 0 Recommended course 3 1 W
D-IME-K combined study --- no specialisation -- DrEx 0 Recommended course 3 1 W
D-KPI-K combined study --- no specialisation -- DrEx 0 Recommended course 3 1 S