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Syllabus ( EQE 512 )


   Basic information
Course title: Matrix Methods in Structural Analysis
Course code: EQE 512
Lecturer: Assist. Prof. Ahmet Anıl DİNDAR
ECTS credits: 7.5
GTU credits: 3 (3+0+0)
Year, Semester: 2017, Fall
Level of course: Second Cycle (Master's)
Type of course: Area Elective
Language of instruction: English
Mode of delivery: Face to face , Group study
Pre- and co-requisites: none
Professional practice: No
Purpose of the course: Development of the algorithms for structural analysis using computer programs, application in the calculations methods and use of matrix methods in analysis.
   Learning outcomes Up

Upon successful completion of this course, students will be able to:

  1. Use the basic skills in finite element methods for analysis, design, and optimization of engineering systems

    Contribution to Program Outcomes

    1. Define and manipulate advanced concepts of Earthquake and Structural Engineering
    2. Develop basic knowledge of seismic design codes, structural dynamics, geotechnical earthquake engineering, earthquake resistant design, seismic data acquisition and manipulation, earthquake hazard and risk analysis
    3. Acquire scientific knowledge and work independently
    4. Work effectively in multi-disciplinary research teams
    5. Design and conduct research projects independently
    6. Develop an awareness of continuous learning in relation with modern technology
    7. Understand the applications and basic principles of instrumentation and/or software vital to his/her thesis projects
    8. Demonstrating professional and ethical responsibility.

    Method of assessment

    1. Written exam
    2. Homework assignment
    3. Seminar/presentation
    4. Term paper
  2. Interpret practical issues such as schemes, implementation, and coding of Matrix Methods

    Contribution to Program Outcomes

    1. Define and manipulate advanced concepts of Earthquake and Structural Engineering
    2. Review the literature critically pertaining to his/her research projects, and connect the earlier literature to his/her own results
    3. Acquire scientific knowledge and work independently
    4. Work effectively in multi-disciplinary research teams
    5. Design and conduct research projects independently
    6. Develop an awareness of continuous learning in relation with modern technology
    7. Understand the applications and basic principles of instrumentation and/or software vital to his/her thesis projects
    8. Defend research outcomes at seminars and conferences

    Method of assessment

    1. Written exam
    2. Homework assignment
    3. Seminar/presentation
    4. Term paper
  3. Creation and development of the computer algoriths in MATLAB and PYTHON for the frame type systems those widely used in structural engineering.

    Contribution to Program Outcomes

    1. Define and manipulate advanced concepts of Earthquake and Structural Engineering
    2. Develop basic knowledge of seismic design codes, structural dynamics, geotechnical earthquake engineering, earthquake resistant design, seismic data acquisition and manipulation, earthquake hazard and risk analysis
    3. Acquire scientific knowledge and work independently
    4. Design and conduct research projects independently
    5. Develop an awareness of continuous learning in relation with modern technology
    6. Understand the applications and basic principles of instrumentation and/or software vital to his/her thesis projects
    7. Effectively express his/her research ideas and findings both orally and in writing
    8. Defend research outcomes at seminars and conferences
    9. Demonstrating professional and ethical responsibility.

    Method of assessment

    1. Written exam
    2. Homework assignment
    3. Laboratory exercise/exam
    4. Term paper
   Contents Up
Week 1: Defining the solution methods in engineering calculations using matrices and development of algorithms (Gerber beams analysis)
Week 2: Introduction to Programming: MATLAB, PYTHON, Jupyter (Fundemental Calculation Techniques)
Week 3: Development of computer algorithms (Determinate Single Degree of Freedom systems)
Week 4: Development of algorithms for parametric calculations and optimal solution approach (Design of the Determinate Single Degree Freedom Systems under Desing Load Combinations)
Week 5: Visualization of the Parametric Analysis Computations (Iteratitve computation of the constant ductility in nonlinear systems)
Week 6: Displacement and Force Method in Structural Analysis (Calculation of the Force and Displacement Matrices)
Week 7: Construction of the System Stiffness Matrix (Determinate Truss Systems)
Week 8: Midterm
Week 9: Development of solution algorigthm using displacement method (Indeterminate beams)
Week 10: Development of solution algorigthm using force method (Indeterminate beams)
Week 11: Development of solution algorigthm using direct method (Indeterminate beams)
Week 12: Dynamic characteristics of the systems, computations ( SDOF)
Week 13: Free vibration Analysis and vibration modes (Multi Degree of Freedom Systems)
Week 14: Mod superposition and application in Earthquake Engineering (MDOF)
Week 15*: Case Study (Analysis of a building from architectural plans)
Week 16*: Final exam
Textbooks and materials: Class notes and lecture videos are accessible through CATS.
Recommended readings: Prezemieniecki, J.S. Theory of Matrix Structural Analysis, Dover Pub. ISBN 04866-49482,1985.
  * Between 15th and 16th weeks is there a free week for students to prepare for final exam.
Assessment Up
Method of assessment Week number Weight (%)
Mid-terms: 7 20
Other in-term studies: 0
Project: 14 20
Homework: 2,3,4,5,6,8,9,10,11,12 30
Quiz: 0
Final exam: 16 30
  Total weight:
(%)
   Workload Up
Activity Duration (Hours per week) Total number of weeks Total hours in term
Courses (Face-to-face teaching): 3 15
Own studies outside class: 3 15
Practice, Recitation: 0 0
Homework: 6 10
Term project: 10 2
Term project presentation: 1 1
Quiz: 0 0
Own study for mid-term exam: 10 1
Mid-term: 1 1
Personal studies for final exam: 8 1
Final exam: 2 1
    Total workload:
    Total ECTS credits:
*
  * ECTS credit is calculated by dividing total workload by 25.
(1 ECTS = 25 work hours)
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