School/Faculty/Institute Faculty of Engineering
Course Code ME 472
Course Title in English Applied Structural Analysis
Course Title in Turkish Uygulamalı Yapısal Analiz
Language of Instruction EN
Type of Course Flipped Classroom,Lecture,Project
Level of Course Introductory
Semester Fall
Contact Hours per Week
Lecture: 3 Recitation: Lab: Other:
Estimated Student Workload 156 hours per semester
Number of Credits 6 ECTS
Grading Mode Standard Letter Grade
Pre-requisites STM 203 - Strength of Materials
Expected Prior Knowledge Strength of Materials (STM 203)
Co-requisites None
Registration Restrictions Only Undergraduate Students
Overall Educational Objective Aiming to apply structural analysis of the student’s senior design projects to be carried out, to review the studies and to provide guidance to reach more accurate results.
Course Description In this course, how to model structural analyzes using the finite element method and what to consider when making engineering decisions are covered. Finite element modeling techniques will cover structural systems with beam, shell and solid modeling; including the general content of nonlinear situations and optimization approaches, as well as modeling material behavior and functionality of dynamic effects.
Course Description in Turkish Bu derste, yapısal analizlerin sonlu elemanlar yöntemi kullanılarak nasıl modelleneceği ve mühendislik kararları alınırken nelere dikkat edilmesi gerektiği işlenmektedir. Doğrusal olmayan durumların genel içeriği ve optimizasyon yaklaşımlarının yanı sıra malzeme davranışının modellenmesi ve dinamik etkilerin işlevselliği dahil sonlu eleman modelleme teknikleri, kiriş, kabuk ve katı modelleme ile yapısal sistemleri kapsayacaktır.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) Analyze stress and deformations in solid structures for linear and non-linear static loading conditions by using finite element software.
2) Analyze natural frequencies and linear dynamics behavior of solid structures; and non-linear dynamics conditions using explicit solver.
3) Cary out design project involving the analysis summarized in 1 and 2.
4) Provide a final report of the design project.
5) Demonstrate efficient teamwork through project PowerPoint presentation organization.
6) Demonstrate oral communication skills through project presentation.
7) Ability to recognize ethical and professional responsibility in computer simulation.
8) Ability to acquire and apply new knowledge as needed in computer simulations.
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4 5 6 7 8
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology.
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation.
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes.
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts.
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline.
6) Internalization and dissemination of professional ethical standards.
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences.
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level).
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity.
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement.
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses.
12) Ability to acquire knowledge independently, and to plan one’s own learning.
13) Demonstration of advanced competence in the clarity and composition of written work and presentations.

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. N
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. N
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. H Exam,HW,Participation
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. N
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. N
6) Internalization and dissemination of professional ethical standards. N
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. N
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). N
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. S Participation
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. S HW,Participation
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. N
12) Ability to acquire knowledge independently, and to plan one’s own learning. S Exam,HW
13) Demonstration of advanced competence in the clarity and composition of written work and presentations. H Exam,HW
Prepared by and Date ALİ ÇINAR , March 2024
Course Coordinator ALİ ÇINAR
Semester Fall
Name of Instructor Assoc. Prof. Dr. ALİ ÇINAR

Course Contents

Week Subject
1) Behavior of element types and choosing criteria (Beam, Shell, Solid).
2) Preparing Finite Element (FE) Modeling with Proper Meshing Approach.
3) Static Stress Analysis. Solving Problems. Stresses and Deformations.
4) Hands-on Study Cases for each Senior Design Project.
5) Non-Linear Behavior of Structural Systems. Geometric Non-linearity and Large Deformation States
6) Material Non-linearity and Material Behavior of Deformed Parts. Engineering Judgement of Critical Conditions for Material Selection Criteria
7) Relationship between Stiffness and Natural Frequency. Observing the Conditions According to Design Change.
8) Hands-on Study Cases for each Senior Design Project.
9) Connection Modelling of assembled systems. Bolt and Weld modelling
10) Boundary Conditions, Predefined Conditions and Loads
11) Contact Modelling and Proper Approach of Parts in Touch
12) Hands-on Study Cases for each Senior Design Project.
13) Stability of Implicit Problems and Solution for Unstable Systems
14) Dynamic Implicit Method and Quasi-Static Approach
15) Final Exam/Project/Presentation Period
16) Final Exam/Project/Presentation Period
Required/Recommended ReadingsAbaqus 6.14 Documentation Bs SIMULIA, http://abaqus.software.polimi.it/v6.14/index.html
Teaching MethodsLectures/contact hours using computer for modeling and simulations in computer lab
Homework and ProjectsHome works and Final Project will be given as teaching method
Laboratory WorkComputer Lab only
Computer UseComputer will be used for pre and post processing of the FE model (preparing FE model and examining results) and running FE model. Home works and Final Projects will be done in computer lab.
Other ActivitiesNone
Assessment Methods
Assessment Tools Count Weight
Attendance 14 % 0
Application 14 % 10
Homework Assignments 4 % 16
Project 4 % 74
TOTAL % 100
Course Administration doguy@mef.edu.tr
90 (542) 417 14 11
Instructor’s office and phone number: Kurtköy - Teknopark / +90 (542) 417 14 11 Office hours: Tuesday, Thursday 13:00 – 15:00 Email address: doguy@mef.edu.tr/dogu@fev.com Rules for attendance: Practice contributes to 10% of the final grade. Missing Homework: Provided that proper documents of excuse are presented, each missed HW by the student, late submission will be accepted until the end of semester. Missing a Final Project: Provided that proper documents of excuse are presented, each missed final project by the student, late submission will be accepted until the final exam period. Missing a final: No final Exam. A reminder of proper classroom behavior, code of student conduct: YÖK Regulations Statement on plagiarism: YÖK Regulations http://www.mef.edu.tr/icerikler/files/lisans_onlisans_yonetmelik%20(1.pdf)

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 1 3 1 70
Study Hours Out of Class 3 1 4 3 24
Project 1 2 20 20 42
Homework Assignments 4 1 2 2 20
Total Workload 156
Total Workload/25 6.2
ECTS 6