ECTS - Introduction to Finite Element Analysis

Introduction to Finite Element Analysis (AE417) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Introduction to Finite Element Analysis AE417 Area Elective 2 2 0 3 5
Pre-requisite Course(s)
MATH276 ve ME210
Course Language English
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies .
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives This course deals with a formulation, programming (MATLAB), and application of finite element method (FEM). The course material is organized for 1D, 2D, and 2D beams.
Course Learning Outcomes The students who succeeded in this course;
  • find out stress and strain fields using FEM for a given geometry and boundary conditions in 1D
  • determine deformation fields for a truss structure analytically and using FEM
  • find out stress and strain fields using FEM for a given geometry and boundary conditions in 2D and 2D beams
Course Content Solving partial differential equations of mechanics numerically; fundamentals of the finite element method including weak form, shape functions, iso-parametric approximation, Gauss quadrature, element types, assembly operation, sparsity pattern with application to 2D problems; self-written finite element code in MATLAB; computational simulations of elastic materials and stress analysis using the MATLAB code; domain discretization, pre-processing and post-processing aspects.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Understanding finite elements through springs combinations Lecture notes and presentations on Moodle website
2 Truss elements and assembly of 1D objects in 2D and 3D space
3 Programming assembly of truss structures
4 Strong form, weak form, energy minimization
5 Approximation using shape functions
6 Integration via Gauss quadrature
7 Formulation of FEM in 1D adopting iso-parametric concept
8 Programming 1D FE code
9 Strong and weak form for 2D problems
10 Domain discretization in 2D and pre-processing
11 Derivation of shape functions and Gauss quadrature in 2D
12 Formulation of FEM in 2D adopting isoparametric concept
13 Programming 2D FE code
14 Post-processing and visualization aspects

Sources

Course Book 1. A First Course in Finite Elements, Jacob Fish and Ted Belytschko, 2007, Wiley.
2. Introduction to Finite Element Analysis Using MATLAB and Abaqus, Amar Khennane, 2013 by Taylor & Francis Group, LLC.
3. MATLAB Codes Element Analysis for Finite Solids and Structures, A.J.M. Ferreira, Universidade do Porto Portugal.
4. Concepts and Applications of Finite Element Analysis, Robert D. Cook et al., 2001, Wiley.
5. The Finite Element Method: Linear Static and Dynamic Finite Element Analysis, Thomas J. R. Hughes, 2000, Dover.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory 1 5
Application 10 15
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 10 20
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 30
Final Exam/Final Jury 1 30
Toplam 24 100
Percentage of Semester Work
Percentage of Final Work 100
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 Adequate knowledge in mathematics, science and subjects specific to the aerospace engineering discipline; the ability to apply theoretical and practical knowledge of these areas to complex engineering problems.
2 The ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose.
3 The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose.
4 The ability to develop, select and utilize modern techniques and tools essential for the analysis and determination of complex problems in aerospace engineering applications; the ability to utilize information technologies effectively.
5 The ability to design experiments and their setups, to make experiments, gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the aerospace engineering discipline.
6 The ability to work effectively in inter/inner disciplinary teams; ability to work individually.
7 Effective oral and written communication skills in Turkish; the knowledge of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8 Recognition of the need for lifelong learning; the ability to access information and follow recent developments in science and technology with continuous self-development
9 The ability to behave according to ethical principles, awareness of professional and ethical responsibility; knowledge of the standards utilized in aerospace engineering applications.
10 Knowledge on business practices such as project management, risk management and change management; awareness about entrepreneurship, innovation; knowledge on sustainable development.
11 Knowledge on the effects of aerospace engineering applications on the universal and social dimensions of health, environment and safety; awareness of the legal consequences of engineering solutions.
12 Knowledge on aerodynamics, materials used in aerospace engineering, structures, propulsion, flight mechanics, stability and control, and an ability to apply these on aerospace engineering problems.
13 Knowledge on orbit mechanics, position determination, telecommunication, space structures and rocket propulsion.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 14 2 28
Laboratory 14 2 28
Application 10 2 20
Special Course Internship
Field Work
Study Hours Out of Class
Presentation/Seminar Prepration
Project
Report
Homework Assignments 10 3 30
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 5 10
Prepration of Final Exams/Final Jury 1 10 10
Total Workload 126