Structural Optimization (CE423) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Structural Optimization CE423 Elective Courses 3 0 0 3 6
Pre-requisite Course(s)
CE 321 Structural Analysis
Course Language English
Course Type Elective Courses
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Discussion, Question and Answer, Problem Solving.
Course Coordinator
Course Lecturer(s)
  • Asst. Prof. Dr. Saeid KAZEMZADEH AZAD
Course Assistants
Course Objectives The objective of this course is to introduce basic concepts of structural optimization. Different types of structural optimization problems will be formulated and solved using various optimization techniques. This course aims to enable the students to use and implement different algorithms for structural optimization.
Course Learning Outcomes The students who succeeded in this course;
  • The students will formulate mathematical statement of structural optimization problems.
  • The students will learn the graphical solution procedure.
  • The students will learn sizing, geometry, and topology optimization problems.
  • The students will implement and use different algorithms for structural optimization.
  • The students will perform sensitivity analyses based on finite element analysis results.
Course Content Formulation of structural optimization problems, graphical solution procedure, sizing, geometry, and topology optimization, steepest-descent method, Newton?s method, branch and bound method, multi-objective structural optimization, evolutionary algorithms, sensitivity analysis techniques, and practical applications.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Formulation of Structural Optimization Problems
2 Graphical Solution Procedure
3 Steepest-Descent Method
4 Newton’s Method
5 Branch and Bound Method
6 Evolutionary Algorithms
7 Evolutionary Algorithms
8 Evolutionary Algorithms
9 Sizing Optimization
10 Geometry Optimization
11 Topology Optimization
12 Sensitivity Analysis Techniques
13 Multiobjective Structural Optimization
14 Practical Applications
15 Final Exam Period
16 Final Exam Period

Sources

Other Sources 1. Arora, J.S., Introduction to Optimum Design, Third Edition, Elsevier Academic Press, 2012.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project 1 30
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 40
Toplam 3 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Having accumulated knowledge on mathematics, science and engineering and an ability to apply these knowledge to solve Civil engineering problems.
2 Ability to design Civil Engineering systems fulfilling sustainability in environment and manufacturability and economic constraints
3 An ability to differentiate, identify, formulate, and solve complex engineering problems; an ability to select and implement proper analysis, modeling and implementation techniques for the identified engineering problems.
4 An ability to develop a solution based approach and a model for an engineering problem and design and manage an experiment
5 Ability to use modern engineering tools, techniques and facilities in design and other engineering applications
6 Ability to carry out independent research in the field and to report the results of the research effectively and be able to present the research results at scientific meetings.
7 Sufficient oral and written English knowledge to follow scientific conferences in the field and communicate with colleagues.
8 Ability to effectively use knowledge in the field to work in disciplinary/multidisciplinary teams and the skill to lead these teams
9 Consciousness on the necessity of improvement and sustainability as a result of life-long learning,ability for continuous renovation and monitoring the developments on science and technology and awareness on entrepreneurship and innovation
10 Professional and ethical responsibility to gather and interpret data, apply and announce solutions to Civil Engineering problems.
11 An ability to investigate, improve social connections and their conducting norms with a critical view and act to change them when necessary.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 3 42
Presentation/Seminar Prepration
Project 1 32 32
Report
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 13 13
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 150