COURSE UNIT TITLE

: COMPUTER AIDED SHIP DESIGN

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
NAV 5038 COMPUTER AIDED SHIP DESIGN ELECTIVE 2 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR GÖKDENIZ NEŞER

Offered to

NAVAL ARCHITECTURE
NAVAL ARCHITECTURE

Course Objective

The course deals with the basic mathematical model and computational procedure for ship and offshore plant design. The course consists of three parts: (1) Optimization method: determination of optimal main dimensions of a ship and the determination of optimal operation, (2) Curve and surface modeling: ship hull form modeling, (3) Finite element method: grillage analysis of a ship hull structure.

Learning Outcomes of the Course Unit

1   Students will a a knowledge of basic methods and tools used in computer aided ship design
2   An appreciation of the advantages of computers in ship design process
3   A knowledge of availability of computer-aided ship design softwares
4   A background on the applications of computers in ship design

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to optimal design and unconstrained optimization method - Gradient method (1): steepest descent, conjugate gardient method - Gradient method (2): Newton's method, Davidon-Fletcher-Powell (DFP) method, Broyden-Fletcher-Goldfarb-Shanno (BFGS method)
2 Unconstrained optimization method: - Direct search method - 1-deimentional search method: Golden section search method - n-dimensional search method: Hoke & Jeeves method, Nelder & Nead method - Constrained optimization method - Penalty function method
3 Constrained optimization method: - Lagrange multiplier - Kuhn-Tucker necessary condition Assignement-1 will be circulated
4 Constrained optimzation method: - Linear programming
5 Constrained optimization method: - Sequential quadratic programming
6 Class practicum: Determination of optimal operating conditions for a ship
7 Bezier curves and de Casteljau algorithm B-spline curves and de Boor/Cox-de Boor algorithm Assignement - 1 due Assignement - 2 will be circulated
8 Midterm exam B-spilen curve interpolation Greville abscissa (moving average), knot Insertion
9 Bezier surfaces and B-spline surfaces
10 Finite difference method Function approximation by trial functions - Galerkin's weighted residual method
11 Approximation to the solutions of differential equations - Galerkin's weighted residual method
12 Piecewise defined trial functions and the finite element method Derivation ofdeflection curve of beam
13 Derivation of the beam elemental stiffness matrix using Galerkin's method Derivation of the bar elemental stiffness matrix and superposition of stiffness matrix Assignement -2 due
14 Grillage analysis - What is grillage analysis - Grillage analysis of a ship hull structure Overview of the course

Recomended or Required Reading

Although there is no textbook for the course and lecture notes will be circulated during the class, student can use the materials mentioned below:
- Lee K.Y., "Computer-Aided Ship Design", Open Coursware (OCW) Lecture Note, Seoul National University, Fall 2006, 2008, 2009
- Lee K.Y., "Innovative Ship Design", Open Coursware (OCW) Lecture Note, Seoul National University, Spring 2009
- Arora J.S, "Introduction to Optimum Design", 2nd Ed., Elsevier Academic Press, 2000
- Zienkiewicz O.C., Morgan K., "Finite Elements and Approximation", John Wiley & Sons, 1983

Planned Learning Activities and Teaching Methods

The strategy of this course is founded on applications of the related theorems. Real problems will be discussed durin the class and student will be forced to find the besrt approximation and / or method.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 MTE MIDTERM EXAM
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE ASG * 0.30 + MTE * 0.30 + FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) ASG * 0.30 + MTE * 0.30 + RST * 0.40


Further Notes About Assessment Methods

In case of an excused absence, the student must make-up any missed test or assignement on the following day durin a free peiod, before or after class. Unexcusd absences will result in a zero.

Assessment Criteria

Learning outcomes of the course should be assessed by the exams and assignements.

Language of Instruction

English

Course Policies and Rules

Attendance: Student are required to attend every class. Attendance will be taken at the beginning of the each class. Plagiarism: Plagiarism will be reported to Academic Judiciary Board and can result in getting zero on the assignements / exams and failing the course. Late Assignement: All assignements are due at the beginning of the class. The extentions will not be granted. Accommodations: Students are required to let the instructor know any special accommodation needed due to learning disabilities, medical needs, etc.

Contact Details for the Lecturer(s)

DEU Institute of Marine Sciences and Technology
Baku Blv. 100 Inciraltı, (35340) Izmir
Phone: +90.232.278 5565, 278 6515 (147-ext.)
Fax: +90.232.278 5082

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Tutorials 14 2 28
Preparing assignments 2 15 30
Preparations before/after weekly lectures 14 2 28
Preparation for midterm exam 1 10 10
Preparation for final exam 1 20 20
Reading 5 5 25
Midterm 1 3 3
Final 1 4 4
TOTAL WORKLOAD (hours) 176

Contribution of Learning Outcomes to Programme Outcomes

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LO.344423225555
LO.444422115555

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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