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 Lecturer(s) |
|
| 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;
|
| 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 | Knowledge of mathematics, natural sciences, engineering fundamentals, computing, and topics specific to the relevant engineering discipline; the ability to use this knowledge in the solution of complex engineering problems. | |||||
| 2 | The ability to identify, formulate, and analyze complex engineering problems using knowledge of basic sciences, mathematics, and engineering, and considering the UN Sustainable Development Goals relevant to the problem. | |||||
| 3 | The ability to design creative solutions for complex engineering problems; the ability to design complex systems, processes, devices, or products to meet current and future requirements, considering realistic constraints and conditions. | |||||
| 4 | The ability to select and use appropriate techniques, resources, and modern engineering and IT tools, including prediction and modeling, for the analysis and solution of complex engineering problems, with an awareness of their limitations. | |||||
| 5 | The ability to use research methods for the investigation of complex engineering problems, including literature search, designing and conducting experiments, collecting data, and analyzing and interpreting results. | |||||
| 6 | Knowledge of the effects of engineering practices on society, health and safety, the economy, sustainability, and the environment within the scope of the UN Sustainable Development Goals; awareness of the legal consequences of engineering solutions. | |||||
| 7 | Acting in accordance with engineering professional principles, knowledge of ethical responsibility; awareness of acting impartially without discrimination on any grounds and being inclusive of diversity. | |||||
| 8 | The ability to work effectively individually and in intra-disciplinary and multi-disciplinary teams (face-to-face, remote, or hybrid) as a team member or leader. | |||||
| 9 | "The ability to communicate effectively orally and in writing on technical topics, considering the various differences of the target audience (such as education, language, profession). | |||||
| 10 | Knowledge of practices in business life such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation. | |||||
| 11 | The ability to engage in life-long learning, including independent and continuous learning, adapting to new and emerging technologies, and thinking inquisitively regarding technological changes. | |||||
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 | ||