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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of CIVIL ENGINEERING
Doctorate
Course Catalog
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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of CIVIL ENGINEERING / Doctorate
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INSL7710Optimization of Reinforced Concrete Elements3+0+0ECTS:7.5
Year / SemesterSpring Semester
Level of CourseThird Cycle
Status Elective
DepartmentDEPARTMENT of CIVIL ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face
Contact Hours14 weeks - 3 hours of lectures per week
LecturerDoç. Dr. Hasan Tahsin ÖZTÜRK
Co-Lecturer
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
The aim of the course is to teach optimum design of reinforced concrete elements by using heuristic algorithms and the use of artificial neural networks trained with heuristic algorithms in the modeling of concrete experiments.
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : apply heuristic algorithms to a structural problem1,3,5
PO - 2 : use heuristic algoritms to optimize reinforced concrete elements1,3,5
PO - 3 : learn how to use heuristic algoritms for training of Artificial Neural Networks 1,3,5
PO - 4 : model experimental data with artificial neural networks trained with heuristic algorithms1,3,5
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome

 
Contents of the Course
introduction, general structure of heuristic algorithms, objective functions for reinforced concrete, constraints for reinforced concrete, constraint handling methods, converting a RC design problem to an optimization problem, optimization of RC elements with Artificial Bee Colony Algorithm, optimization of RC elements with Cuckoo Search Algorithm, optimization of RC elements with Teaching-Learning Based Optimization Algorithm, optimization of RC elements with JAYA Algorithm, optimization of RC elements with Differential Search Algorithm, using Neural Networks with heuristic algorithms in concrete experiments.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Introduction to optimization
 Week 2General structure of heuristic algorithms
 Week 3Objective functions for reinforced concrete
 Week 4Constraints for reinforced concrete
 Week 5Constraint handling methods
 Week 6Converting a RC design problem to an optimization problem
 Week 7Optimization of RC elements with Artificial Bee Colony Algorithm
 Week 8Optimization of RC elements with Cuckoo Search Algorithm
 Week 9Mid-term exam
 Week 10Teaching-Learning Based Optimization Algorithm
 Week 11Optimization of RC elements with JAYA Algorithm
 Week 12Optimization of RC elements with Differential Search Algorithm
 Week 13General structure of ANN
 Week 14Training of ANN with heuristic algorithms
 Week 15Modeling of experiment data with ANN
 Week 16End-of-term exam
 
Textbook / Material
1Öğretim üyesi ders notları
 
Recommended Reading
1ÖZTÜRK H.T. 2013. "Deprem Bölgelerinde Yapılacak Betonarme Sığ Tünellerin Yapay Arı Koloni Algoritması Ve Genetik Algoritmayla Optimum Tasarımı", KTÜ Fen Bilimleri Enstitüsü İnşaat Mühendisliği Anabilim Dalı, Doktora Tezi
2SLOBBE, G. 2015. “ Optimisation of Reinforced Concrete Structures”, Delft University of Technology, Main Report.
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 2 50
End-of-term exam 16 2 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 3 14 42
Sınıf dışı çalışma 4 14 56
Arasınav için hazırlık 4 8 32
Arasınav 2 1 2
Dönem sonu sınavı için hazırlık 3 7 21
Dönem sonu sınavı 2 1 2
Diğer 1 5 14 70
Total work load225