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Computational Hydrodynamics

 

 

PIRI REIS UNIVERSITY

GRADUATE SCHOOL OF SCIENCE AND ENGINEERING

Naval Architecture and Marine Engineering Programme

2016 - 2017 Spring Term Course catalog Form

Course Name :  Ship Design

Degree: BSc

 

Code

 

 

Year/Semester

 

Local Credits

 

ECTS Credits

 

Course Implementation, Hours/Week

Course

Tutorial

Laboratory

NAME 506

2

3

 

3

 

-

Department

Naval Architecture and Marine Engineering

Instructors

Assist. Prof. Ziya Saydam & Prof.Dr. Ömer Gören

Contact Information

zsaydam@pirireis.edu.tr, ogoren@itu.edu.tr

Office Hours

TUESDAY 11:00 - 12:00

WEDNESDAY 11:00 - 12:00

Web page

PRU Online

Course Type

Elective

Course Language

English

Course Prerequisites

 

Course Category by Content

Basic Sciences

Engineering Science

Engineering Design

Humanities

-

%70

%30

-

Course Description

The course has been designed in order to enable the students to develop the concept design of a conventional marine craft with respect to given owner requirements and statutory regulations. The outcome would enable the estimation of cost and the performance of  the vessel given the requirements.

 

 

Course Objectives

 

1.  To equip students with the necessary computational skills to solve marine hydrodynamics problems

 

Course Learning Outcomes

Students who successfully complete the course will acquire the fundamental knowledge listed below as a basis for further studies in computational hydrodynamics

  1.      Approximation of marine hydrodynamics problems in a numeric fashion
  2.      Validation strategies
  3.      Utilization of potential flow and RANS tools for solution of hydrodynamics problems 

Instructional Methods and Techniques

Projection,  PowerPoint,  instruction by writing and drawing on the board.

Tutorial Place

Computer Laboratory

Co-term Condition

None

Textbook

Peyret, R. and Taylor, T.D., “Computational Methods for Fluid Flow”, Springer-Verlag, New York, 1985.

Newman, J.N., “Marine Hydrodynamics”, MIT Press, Cambridge, 1980.Lomax, H.,

Pulliam, T.H. and Zingg, D.W., “Fundementals of Computational Fluid Dynamics”, Springer, Berlin, 2001.

 

Other References

 

Homework & Projects

2 sets of homework problems

1 project on the problem of flow around arbitrary bodies by source-panel method

1 project on the solution of backward facing step reattachment problem

Laboratory Work

 

Computer Use

Computational tools

                   

 

 

Assessment Criteria

Activities

Quantity

Effects on Grading, %

Homeworks

2

10

Term Project 1

1

25

Term Project 2

1

40

Final Exam

1

25

TOTAL

 

%100

Effects of Midterm on Grading, %

 

75

Effects of Final on Grading, %

 

25

TOTAL

 

100

 

ECTS/

WORKLOAD TABLE

Activities

Count

Hours

Total

Workload

Lecture

14

3

42

Midterm

 

 

 

Quiz

 

 

 

Homework

2

32

64

Term Paper/Project

2

36

72

Laboratory Work

 

 

 

Practices

 

 

 

Tutorial

 

 

 

Seminar

 

 

 

Presentation

 

 

 

Field Study

 

 

 

Final Exam

1

10

10

Total Workload

 

 

188

Total Workload/25

 

 

188/25

Course ECTS Credits

 

 

7.5

 

 

 

Week

 

Topics

Course Outcomes

1

Intro. Governing equations for real fluids. Vorticity equation.

I

2

The motion of an ideal fluid. Boundary conditions.

I,II

3

Singularity distributions. The method of images.

I,II

4

Source-panel method. Computational wave resistance

I,II

5

Green’s theorem and Introduction to Boundary Element Method (BEM)

I,II

6

BEM (continued)

I,II

7

BEM (continued). Intro to Finite Volume Methods & RANS Equations 

I,II,III

8

Discretization Schemes

I;III

9

Turbulence Closure & Modelling & Boundary Conditions

I;III

10

Grid Generation & Sensitivity Analysis 

I;III

11

Coursework – RANS method

I;III

12

Coursework – RANS method

I;III

13

Coursework – RANS method

I;III

14

Coursework – RANS method

I;III

 

 

Relationship between the Course and the Naval Architecture and Marine Engineering Curriculum

 

 

Program Outcomes

Level of Contribution

1

2

3

a

An ability to apply knowledge of mathematics, science, and engineering

 

 

X

b

An  ability to design and conduct experiments, as well as to analyze and interpret data

 

 

X

c

An ability to design a system, component or process to meet desired needs

X

 

 

d

Ability to function on multi-disciplinary teams

X

 

 

e

An ability to identify, formulate, and solve engineering problems

 

 

X

f

An understanding of professional and ethical responsibility

X

 

 

g

An ability to communicate effectively

X

 

 

h

The broad education necessary to understand the impact of engineering solutions in a global and societal context

 

X

 

i

A recognition of the need for, and an ability to engage in life-long learning

 

 

X

j

A knowledge of contemporary issues

 

 

X

k

An ability to use the techniques, skills and modern engineering tools necessary for engineering practice

 

 

X

l

an ability to apply engineering knowledge in fluid mechanics, structural mechanics, material selection and energy/propulsion systems in the context of marine vehicles and offshore structures.

 

 

X

 

         1: Small, 2: Partial, 3: Full

Programme Outcomes & Course Outcomes Connectivity Matrix

 

Course

I

II

III

Outcomes

Programme Outcomes

a

X

X

X

b

X

X

X

c

X

X

X

d

 

 

 

e

X

X

X

f

 

 

 

g

 

 

 

h

X

X

X

i

X

X

X

j

X

X

X

k

X

X

X

l

X

X

X

 

 

 

 

Prepared by

Dr. Ziya Saydam

Date

06.02.2017

Signature