COURSE UNIT TITLE

: ADVANCED METHODS IN COMPUTATIONAL HYDRAULICS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
CIE 5142 ADVANCED METHODS IN COMPUTATIONAL HYDRAULICS ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR BIROL KAYA

Offered to

HYDRAULIC ENGINEERING AND WATER RESOURCES
HYDRAULIC ENGINEERING AND WATER RESOURCES
HYDRAULIC ENGINEERING AND WATER RESOURCES

Course Objective

In this course, to explain the use of finite volume method, differential quadrature method and high order compact finite difference method in steady and unsteady flow modeling with examples is aimed.

Learning Outcomes of the Course Unit

1   To determine the flow motion and boundary conditions
2   To investigated the advance numerical methods
3   To use the methods with different schemes
4   To solve the hydromechanic problems use of advance numerical methods
5   To investigate the effect to solution of boundary conditions and solution schemes.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Fluid flows and boundary conditions
2 Advanced Numerical Solution Methods
3 Discretization and solution schemes
4 Diffusion Problems and solutions
5 Diffusion Problems and solutions
6 Diffusion Problems and solutions
7 Convection-Diffusion Problems and solutions
8 Convection-Diffusion Problems and solutions
9 Saint-Venant equations - Kinematic wave model
10 Diffusion wave model
11 Dynamic wave model
12 Sediment Transport
13 Navier-Stokes Equations
14 Effect of boundary conditions

Recomended or Required Reading

Textbook(s): Versteeg, H.K., Malalasekera, W., An Introduction to Computational Fluid Dynamic, The Finite Volume Method, Pearson Education Limited, ISBN 0-582-21884-5, 257 p, 1995
Supplementary Book(s): Colella, P., Puckett, E.G., 1994, Modern Numerical Methods for fluid flow, University of California.
Dehghan, M. Mohebbi, A., High-order compact solution of the one-dimensional heat and advection-diffusion equations, Elsevier, Applied Mathematics and Computation, 34, p.3071-3084, 2010.
Eymard, R., Gallouet, T., Herbin, R., 2003, Finite Volume Methods, Ecole Normale Supérieure de Lyon , Université de Provence, Marseille, 237 p.
Fernandez-Nieto, E.D., Marin, J., Monnier, J., Coupling superposed 1D and 2D shallow water models : Source terms in finite volume schemes, Elsevier, Computer & Fluids, 39, p.1070-1082, 2010

Planned Learning Activities and Teaching Methods

The course is taught in a lecture. There is also some homework which is to be prepared and presented individually.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 +ASG * 0.20 +FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.20 + RST * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

LO 1-5 are evaluated with mid-term, homeworks and final exams.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Assoc.Prof.Dr. Birol Kaya
E-mail:birol.kaya@deu.edu.tr

Office Hours

If the course schedule created, it will be announced by the instructor.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 5 70
Preparation for midterm exam 1 20 20
Preparation for final exam 1 30 30
Preparing assignments 2 15 30
Midterm 1 2 2
Final 1 2 2
TOTAL WORKLOAD (hours) 196

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.15
LO.2345
LO.3345
LO.445
LO.545