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Structural Engineering and Mechanics
  Volume 64, Number 5, December10 2017, pages 579-589

Optimum design of partially prestressed concrete beams using Genetic Algorithms
Erdem Türkeli and Hasan Tahsin Öztürk

    This paper deals with the optimum cost design of partially prestressed concrete I crosssectioned beams by using Genetic Algorithms. For this purpose, the optimum cost design of two selected example problems that have different characteristics in behavior are performed via Genetic Algorithms by determining their objective functions, design variables and constraints. The results obtained from the technical literature are compared with the ones obtained from this study. The interpretation of the results show that the design of partially prestressed concrete I crossectioned beams from cost point of view by using Genetic Algorithms is 35~50 % more economical than the traditional ones (technical literature) without conceding safety.
Key Words
    optimum; partially prestressed concrete; beam; Genetic Algorithm; cost
Erdem Türkeli : Construction Department, Vocational School of Technical Sciences, Ordu University, Ordu, Turkey

Hasan Tahsin Öztürk : Department of Civil Engineering, Faculty of Technology, Karadeniz Technical University, Trabzon, Turkey

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