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| INS5570 | Optimization Techniques in Structures | 3+0+0 | ECTS:7.5 | | Year / Semester | Fall Semester | | Level of Course | Second Cycle | | Status | Elective | | Department | DEPARTMENT of CIVIL ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face, Practical | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | -- | | Co-Lecturer | None | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | The objective of this course is to describe the structural optimization mathematically and to apply mathematical programming techniques to the linear and nonlinear problems of structural analysis |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | practice structural mechanics and structural analysis knowledge in the optimum design of steel structural sections. | 1,3,4,5,6,7,8,9,10,11 | 1 | | PO - 2 : | design structures with minimum weight under various loadings. | 1,3,4,5,6,7,8,9,10,11 | 3 | | PO - 3 : | determine, define and solve structural design problems using suitable codes considering related constrains for the design. | 1,3,4,5,6,7,8,9,10,11 | 3 | | PO - 4 : | design a structure using minimum amount of material and its effect to the national economy. | 1,3,4,5,6,7,8,9,10,11 | 1 | | PO - 5 : | follow various codes, new technology and optimization techniques. | 1,3,4,5,6,7,8,9,10,11 | 6 | | PO - 6 : | use various structural analysis programs and code their own program for structural optimization. | 1,3,4,5,6,7,8,9,10,11 | 6 | | 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 | | |
| General Definitions: Objective function, Constraints, Optimization Techniques used in Structural Design: Simplex Method, Sequential Linear Programming Methods. Optimality Criteria. Artificial Intelligence Methods: Genetic Algorithms. Structural Optimization, Formulation of Optimization Problem with Matrix Displacement Method: Optimum Design of Truss and Framed Systems. Structural Optimization with Genetic Algorithms. Shape Optimization and topology design. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | General Definitions, Objective function, Constraints. | | | Week 2 | Optimization Techniques used in Structural Design, Simplex Method. | | | Week 3 | Sequential Linear Programming Methods. Optimality Criteria. | | | Week 4 | Optimality Criteria. | | | Week 5 | Artificial Intelligence Methods. | | | Week 6 | Genetic Algorithms.
| | | Week 7 | Genetic Algorithms. | | | Week 8 | Structural Optimization, Formulation of Optimization Problem with Matrix Displacement Method. | | | Week 9 | Mid-term exam | | | Week 10 | Structural Optimization, Formulation of Optimization Problem with Matrix Displacement Method. | | | Week 11 | Optimum Design of Truss and Framed Systems. | | | Week 12 | Genetic Algorithms. Shape Optimization and topology design.
| | | Week 13 | Structural Optimization with Genetic Algorithms. Shape Optimization and topology design.
| | | Week 14 | Shape Optimization and topology design.
| | | Week 15 | Shape Optimization and topology design.
| | | Week 16 | End-of-term exam | | | |
| 1 | Majid, K. I. , 1978; Optimum Design of Structures, Newnes Butterworths.
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| 1 | Arora, J. S. , 1989; Introduction to Optimum Design, Mc Graw Hill International Editions.
| | | 2 | Goldberg, D. E., 1989; Genetic Algorithms in Search Optimization and Machine Learning', Addison-Wesley Publishing Co. , Inc. , Redwood City Mass.
| | | 3 | Kirsh, U., 1981; Optimum Structural Design, Concepts, Methods and Applications. Mc Graw Hill Book Company.
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| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | | 2 | 30 | | Homework/Assignment/Term-paper | 4
10
12 | | 2 | 20 | | End-of-term exam | 16 | | 2 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 3 | 14 | 42 | | Arasınav için hazırlık | 12 | 2 | 24 | | Arasınav | 3 | 1 | 3 | | Ödev | 3 | 14 | 42 | | Kısa sınav | 1 | 2 | 2 | | Dönem sonu sınavı için hazırlık | 12 | 2 | 24 | | Dönem sonu sınavı | 3 | 1 | 3 | | Total work load | | | 182 |
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