MODELING of TURBULENCE

 

221504 MAK 608E MODELING of TURBULENCE  2025/2026 Spring

Lecturer: Seyhan Onbaşıoğlu

Room #:  537

e-mail: onbasiogl1@itu.edu.tr; suonbasioglu@gmail.com

Course hours: Friday.   09.30-12.30

Office Hours: Upon appointment

Prerequisites:

Advanced knowledge of Fluid Mechanics and Heat Transfer, Transport Phenemona and Computational Fluid Dynamics.

Lecture notes will be uploaded on Ninova.

Textbooks:

1-    Davidson, L., Fluid mechanics, turbulent flow and turbulence modeling,  December 2025.

https://www.tfd.chalmers.se/~lada/postscript_files/solids-and-fluids_turbulent-flow_turbulence-modelling.pdf

      2-    Schiestel, R., Modeling and Simulations of Turbulent Fşows, John Wiley and Sons, 2006.

3-    Leschziner, Michael, Statistical turbulence modelling for fluid dynamics, demystified : an introductory text for graduate engineering students, 2015.

4-    Durbin, P.A.,Pettersson Reif, B.A., Statistical Theory and Modeling

for Turbulent Flows, Second Edition, John Wiley  Sons, 2011.

5-    Kuo, K.K., Acharya, R., Fundamentals of Turbulent and Multiphase Combustion, John Wiley and Sons, 2012.

6-    Davidson, P.A., Turbulence An Introduction for Scientists and Engineers, University of Cambridge, 2015.

 

Also, some additional lecture notes will be distributed or uploaded on the class web page regarding to machine learning algorithms  in turbulence models.

Assessment Criteria:

 

Quantity

Percentage

Midterm Exam (April 03, 2026)

1

20

Homeworks

5

15

Term Paper

1

       25

Final Exam

1

40

Term paper will include the computational investigation of a turbulent flow  using OPEN SOURCE Codes and including the comparison of the turbulence models. It should be written in journal paper format and to be delivered on the last class of the semester.

 

 

FOR THE FINAL EXAM

-70% ATTENDANCE

-MINIMUM 50 POINTS AVARAGE FOR THE MIDTERM STUDIES

COURSE SCHEDULE

Week

Title

Chapter of the textbook

1

Feb. 13

Overview

Introduction to the Course

Introduction Slide

(Mostly from Schiestel)

2

Feb. 20

Introduction to Turbulence, Turbulent Scales, Energy Spectrum, The Cascade Process

Davidson, Ch. 5

3

Feb. 27

Turbulent Mean Flow, Probability Density Functions, Transport Equations for Turbulent Kinetic Energy, Transport Equations or Reynolds Stresses, Correlations

Davidson, Chs.: 6,7,8,9,10

4

March. 6

Reynolds Stress Models and Two Equation Models

Eddy Viscosity Models

Davidson, Ch. 11, 12

5

March 13

Scalar/Heat-Flux-Transport Modelling

Leschziner, Ch.13

HOLIDAY

March 20

 

 

6

March 27

Turbulent Buoyant Flows

 

Durbin and Pettersson-Reif, Ch. 8

7

April 03

Free Shear Flows

MIDTERM (1.5 hours)

Durbin and Pettersson-Reif, Ch. 4

8

April 10

Overview of Turbulent Combustion in RANS

Kuo and Acharya, Ch. 4

9

April 17

Introduction to LES

Davidson, Ch. 18

10

April 24

Test Filter, Bardina Model, numerical Methods

Davidson, Ch. 18

11

May 01

This lecture coincides with a holiday and will be covered in a later week.

 

12

May 08

Discussion of Dissipation in LES and RANS

Davidson, Ch. 18

13

May 15

URANS, DES and Hybrid LES-RANS and Review

Davidson, Chs. 19-28

14

May 22

Modeling of Buoyant Flows in LES

Journal papers

15

May. 01 Make up lecture

Discussing Turbulent Combustion in LES

Kuo and Acharya, Ch. 4

16

Optional lecture (Either online or face to face)

Machine Learning Algorithms in Turbulence Modeling

Journal papers

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