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 |
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Introduction to Finite Element Analysis | AE417 | Area Elective | 2 | 2 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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MATH276 ve ME210 |
Course Language | English |
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Course Type | Elective Courses |
Course Level | Bachelor’s Degree (First Cycle) |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | . |
Course Lecturer(s) |
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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;
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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 |
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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. |
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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 |
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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 | |
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Percentage of Final Work | 100 |
Total | 100 |
Course Category
Core Courses | X |
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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 | ||||
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1 | 2 | 3 | 4 | 5 | ||
1 | Adequate knowledge of mathematics, physical sciences and the subjects specific to engineering disciplines; the ability to apply theoretical and practical knowledge of these areas in the solution of complex engineering problems. | |||||
2 | The ability to define, formulate, and solve complex engineering problems; the ability to select and apply proper analysis and modeling methods for this purpose. | |||||
3 | The ability to design a complex system, process, device or product under realistic constraints and conditions in such a way as to meet the specific requirements; the ability to apply modern design methods for this purpose. | |||||
4 | The ability to select, and use modern techniques and tools needed to analyze and solve complex problems encountered in engineering practices; the ability to use information technologies effectively. | |||||
5 | The ability to design experiments, conduct experiments, gather data, and analyze and interpret results for investigating complex engineering problems or research areas specific to engineering disciplines. | |||||
6 | The ability to work efficiently in inter-, intra-, and multi-disciplinary teams; the ability to work individually. | |||||
7 | Effective oral and written communication skills; The knowledge of, at least, one foreign language; the ability to write a report properly, understand previously written reports, prepare design and manufacturing reports, deliver influential presentations, give unequivocal instructions, and carry out the instructions properly. | |||||
8 | Recognition of the need for lifelong learning; the ability to access information, follow developments in science and technology, and adapt and excel oneself continuously. | |||||
9 | Acting in conformity with the ethical principles; professional and ethical responsibility and knowledge of the standards employed in engineering applications. | |||||
10 | Knowledge of business practices such as project management, risk management, and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development. | |||||
11 | Knowledge of the global and social effects of engineering practices on health, environment, and safety issues, and knowledge of the contemporary issues in engineering areas; awareness of the possible legal consequences of engineering practices. | |||||
12 | Ability to work in the fields of both thermal and mechanical systems including the design and production steps of these systems. |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
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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 |