MODELING OF TURBULENCE_FALL 25-26

 

14981 MAK 608E MODELING of TURBULENCE  2025/2026 Fall

Lecturer: Seyhan Onbaşıoğlu

Room #:  537

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

Course hours: Thursday.   09.30-12.30         

Office Hours: Upon appointment

Prerequisites:

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

Textbooks:

1-    Davidson, L., Fluid mechanics, turbulent flow and turbulence modeling,  July 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 (November 06, 2025)

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

Sep. 25

Overview

Introduction to the Course

Introduction Slide

(Mostly from Schiestel)

2

Oct. 2

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

 

Davidson, Ch. 5

3

Oct. 9

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

Oct. 16

Reynolds Stress Models and Two Equation Models

Eddy Viscosity Models

Davidson, Ch. 11, 12

5

Oct. 23

Scalar/Heat-Flux-Transport Modelling

Leschziner, Ch.13

6

Oct. 30

Turbulent Buoyant Flows

 

Durbin and Pettersson-Reif, Ch. 8

7

Nov. 06

Free Shear Flows

MIDTERM (1.5 hours)

Durbin and Pettersson-Reif, Ch. 4

8

Nov. 20

Overview of Turbulent Combustion in RANS

Kuo and Acharya, Ch. 4

9

Nov. 27

Introduction to LES

Davidson, Ch. 18

10

Dec. 04

Test Filter, Bardina Model, numerical Methods

Davidson, Ch. 18

11

Dec. 11

Discussion of Dissipation in LES and RANS

Davidson, Ch. 18

12

Dec. 18

URANS, DES and Hybrid LES-RANS and Review

Davidson, Chs. 19-28

13

Dec. 25

Modeling of Buoyant Flows in LES

Journal papers

14

Jan. 01 (Make up lecture will be discussed)

Discussing Turbulent Combustion in LES

Kuo and Acharya, Ch. 4

Optional lecture (Either online or face to face)

Machine Learning Algorithms in Turbulence Modeling

Journal papers

 

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