Course detail

Computational Modeling of the Turbulent Flow

FSI-9VMTAcad. year: 2022/2023

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.

Language of instruction

Czech

Mode of study

Not applicable.

Guarantor

doc. Ing. Pavel Rudolf, Ph.D.

Department

Energy Institute (EÚ)

Learning outcomes of the course unit

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

Co-requisites

Not applicable.

Planned learning activities and teaching methods

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

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

Presentation of more advanced approaches to computational fluid dynamics, always in connection to problematics of PhD thesis topic.

Specification of controlled education, way of implementation and compensation for absences

Lectures and individual consultations.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

BRENNEN, C.E. Fundamentals of Multiphase Flow. 1. Cambridge University Press, 2005. (EN)
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 (EN)
Vesteeg HK, Malalasekera W. 1995. An Introduction to Computational Fluid Dynamics. The finite Volume Method. Longman, London (EN)
Wilcox, D.C.: Turbulence Modeling for CFD. DCW Industries. 1998 (EN)

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme D-APM-K Doctoral 1 year of study, summer semester, recommended course
  • Programme D-APM-P Doctoral 1 year of study, summer semester, recommended course
  • Programme D-ENE-K Doctoral 1 year of study, winter semester, recommended course
  • Programme D-ENE-P Doctoral 1 year of study, winter semester, recommended course
  • Programme D-IME-K Doctoral 1 year of study, winter semester, recommended course
  • Programme D-IME-P Doctoral 1 year of study, winter semester, recommended course
  • Programme D-KPI-K Doctoral 1 year of study, summer semester, recommended course
  • Programme D-KPI-P Doctoral 1 year of study, summer semester, recommended course

Type of course unit

 

Lecture

20 hod., optionally

Teacher / Lecturer

doc. Ing. Pavel Rudolf, Ph.D.

Syllabus

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