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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of MECHANICAL ENGINEERING
Doctorate
Course Catalog
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Phone: +90 0462 3772905
FBE
GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of MECHANICAL ENGINEERING / Doctorate
Katalog Ana Sayfa
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MAKL7180Turbulence Modeling3+0+0ECTS:7.5
Year / SemesterSpring Semester
Level of CourseThird Cycle
Status Elective
DepartmentDEPARTMENT of MECHANICAL ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face
Contact Hours14 weeks - 3 hours of lectures per week
LecturerProf. Dr. Burhan ÇUHADAROĞLU
Co-LecturerNone
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
This course aims to teach the characteristics of turbulent flows and turbulence models and to have ability of modeling the turbulence
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : learn the fundamentals of turbulent flows1,31,3
PO - 2 : describe the statistical meaning of turbulence1,31,3
PO - 3 : learn the various turbulence modeling techniques 1,31,3
PO - 4 : know the advanced turbulence models1,31,3
PO - 5 : model a turbulent flow1,31
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome

 
Contents of the Course
Introduction. Foundamentals of turbulent flow. Algebraical models. The models based on Reynolds averaged Navier-Stokes equations. Reynolds stress equation models. Direct numerical simulatin (DNS). Large-eddy simulation (LES)
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Introduction; general description of turbulence, methods of analysis, orogin of turbulence.
 Week 2Introduction; diffusivity of turbulence, length scales of turbulent flows.
 Week 3Fundamentals of Turbulent Flows; mean motion and fluctuations, Reynolds stresses.
 Week 4Fundamentals of Turbulent Flows; correlations, measuring methods.
 Week 5Statistical Description of Turbulence; probability density
 Week 6Statistical Description of Turbulence; Fourier series and spectrum
 Week 7Algebraic models; mixing length hypothesis.
 Week 8Algebraic models; (1/2)-equation models.
 Week 9Mid-term exam
 Week 10The Models Based on Reynolds Averaged Navier-Stokes Equations; one-equation models
 Week 11The Models Based on Reynolds Averaged Navier-Stokes Equations; two-equation models
 Week 12The Models Based on Reynolds Averaged Navier-Stokes Equations; two-equation models
 Week 13Reynolds Stress Equation Models
 Week 14Direct Numerical Simulation (DNS)
 Week 15Large-Eddy Simulation (LES)
 Week 16End-of-term exam
 
Textbook / Material
1Tennekes, H. and Lumley, J.L.1973; A First Course in Turbulence, The MIT Press, London (ISBN 0-262-20019-8)
2Schlichting, H. and Gersten K. 2000; Boundary-Layer Theory, Springer-Verlag, Berlin (ISBN 3-540-6670-7)
3Wilcox, D.C.1993; Turbulence Modeling for CFD, DCW Industries, California (ISBN 0-963605-0-0)
 
Recommended Reading
1Heinz, S.2003; Statistical Mechanics of Turbulent Flows, Springer-Verlag, Berlin (ISBN 3-540-40103-2)
2Hinze, J.O. 1975; Turbulence, McGraw Hill, New York (ISBN 0-07?029037-7)
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 2 30
Homework/Assignment/Term-paper 2
4
6
8
10
12
14
7 20
End-of-term exam 16 2 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 3 13 39
Arasınav için hazırlık 1 8 8
Arasınav 2 1 2
Ödev 1 7 7
Dönem sonu sınavı için hazırlık 1 5 5
Dönem sonu sınavı 2 1 2
Total work load63