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      • KCI등재

        Overall Cost Optimization of Prestressed Concrete Bridge using Genetic Algorithm

        Zekeriya Aydın,Yusuf Ayvaz 대한토목학회 2013 KSCE JOURNAL OF CIVIL ENGINEERING Vol.17 No.4

        Overall cost optimization of Prestressed Concrete (PC) bridges is investigated in this study. The purpose of this study is to determine the optimum span number and optimum cross-sectional properties of multi-span bridges. Considered bridge superstructure is constituted by adjacent simply supported pretensioned prestressed I-girders. Also, considered bridge substructure is constituted by single-column piers and rectangular spread footings. Span number, cross-section dimensions of prestressed girders and the area of Prestressing Steel (PS) are considered as design variables. PC girders, piers and footings are designed according to AASHTO Standard Specifications for Highway Bridges. A modified hybrid Genetic Algorithm (GA) is used for the optimum design. Working stress, ultimate strength, ductility limits, deflection, and geometry constraints are considered. Total cost of the bridge is taken as optimality criterion. A computer program is coded to perform optimum design and numerical examples from the application are designed. One of these examples is used in this paper. It is concluded that GA can be effectively used in the overall cost optimization of PC bridges.

      • KCI등재

        Cost minimization of prestressed steel trusses considering shape and size variables

        Zekeriya Aydın,Ebru Cakir 국제구조공학회 2015 Steel and Composite Structures, An International J Vol.19 No.1

        There are many studies on the optimization of steel trusses in literature; and, a large number of them include a shape optimization. However, only a few of these studies are focused on the prestressed steel trusses. Therefore, this paper aims to determine the amounts of the material and cost savings in steel plane trusses in the case of prestressing. A parallel-chord simply supported steel truss is handled as an example to evaluate the used approach. It is considered that prestressing tendon is settled under the bottom bar, between two end supports, using deviators. Cross-sections of the truss members and height of the truss are taken as the design variables. The prestress losses are calculated in two steps as instantaneous losses and time-dependent losses. Tension increment in prestressing tendon due to the external loads is also considered. A computer program based on genetic algorithm is developed to solve the optimization problem. The handled truss is optimized for different span lengths and different tendon eccentricities using the coded program. The effects of span length and eccentricity of tendon on prestressed truss optimization are investigated. The results of different solutions are compared with each other and those of the non-prestressed solution. It is concluded that the amounts of the material and the cost of a steel plane truss can be reduced up to 19.9% and 14.6%, respectively, by applying prestressing.

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