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Course Information

Course Name
Turkish Modeling of Turbulence
English Modelling of Turbulence
Course Code
MAK 608E Credit Lecture
(hour/week)
Recitation
(hour/week)
Laboratory
(hour/week)
Semester -
- 3 - -
Course Language English
Course Coordinator Seyhan Onbaşıoğlu
Seyhan Onbaşıoğlu
Course Objectives Advanced knowledge of modelling turbulence and understanding physis of natural and industrial turbulent flows.
Course Description A review of RANS methods is presented, starting from closure problems, and then the physics of filtration and its connection with numerical methods are discussed. Data analysis and Machine Learning will also be implemented in the near future.
Course Outcomes - To be aware of the characteristics of turbulence, chaos and determinism.
-Understanding fluctuation structures.
-Understanding natural phenomena and using their properties in engineering.
-Linking statistical events to macroengineering.
-To develop modeling with realistic and realistic methods.
-Combining computational approach with models.
-To understand and solve the transport equations of momentum, heat and mass transfer.
Pre-requisite(s) Advanced knowledge of Fluid Mechanics and Heat Transfer, Computational Fluid Dynamics. Intermediate Knowledge of Software Coding
Required Facilities Python software, Open Foam.
Other
Textbook Lecture notes, 2024. Will be uploaded on ninova.
Other References 1- Davidson, L., Fluid mechanics, turbulent flow and turbulence modeling, , http://www.tfd.chalmers.se/~lada/postscript_files/solids-and-fluids_turbulent-flow_turbulence-modelling.pdf February 2023.
2- Davidson, P.A., Turbulence An Introduction for Scientists and Engineers, University of Cambridge, 2015.
3- Leschziner, Michael, Statistical turbulence modelling for fluid dynamics, demystified : an introductory text for graduate engineering students, 2015.

Also, some additional lecture notes will be distributed or uploaded on the class web page. Updated lectures will also be given such as machine learning in turbulence modeling etc.
 
 
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