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Dersin Bilgileri

Dersin Adı
Türkçe Modeling of Turbulence
İngilizce Modelling of Turbulence
Dersin Kodu
MAK 608E Kredi Ders
(saat/hafta)
Uygulama
(saat/hafta)
Labratuvar
(saat/hafta)
Dönem -
- 3 - -
Dersin Dili İngilizce
Dersin Koordinatörü Seyhan Onbaşıoğlu
Seyhan Onbaşıoğlu
Dersin Amaçları Advanced knowledge of modelling turbulence and understanding physis of natural and industrial turbulent flows.
Dersin Tanımı 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.
Dersin Çıktıları - 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.
Önkoşullar Advanced knowledge of Fluid Mechanics and Heat Transfer, Computational Fluid Dynamics. Intermediate Knowledge of Software Coding
Gereken Olanaklar Python software, Open Foam
Diğer
Ders Kitabı Lecture notes, 2024. Will be uploaded on ninova.
Diğer Referanslar 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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