Browsing by Author "Saka, M.P."

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Discrete Design Optimization of Space Steel Frames Using the Adaptive Firefly Algorithm
(Civil-Comp Press, 2012) Aydoǧdu, I̊.; Akin, A.; Saka, M.P.
Optimum design of steel frames is a complicated process because the designer has to consider a large number of nonlinear constraints which are imposed by steel design codes while also dealing with discrete design variables. Obtaining the optimum solution to discrete programming problems was never easy until the emergence of metaheuristic techniques. The firefly algorithm, one of the recent metaheuristic techniques that is based on the idealized behaviour of the flashing characteristics of fireflies. In this paper, the optimum design problem of steel space frames is formulated according to the provisions of LRFD-AISC (Load and Resistance Factor Design) [1]. The firefly optimization technique is used to obtain the solution to the design problem. A number of space frames is designed using the firefly algorithm developed in order to test the performance of the firefly algorithm for structural design problem. © Civil-Comp Press, 2012.
Optimum Design of 3d Steel Frames With Composite Slabs Using Adaptive Harmony Search Method
(CRC Press, 2023) Saka, M.P.; Aydogdu, I.; Taymus, R.B.; Geem, Z.W.
This chapter presents optimum design of steel buildings with composite slabs subjected to combined loading conditions which includes dead, live, snow and earthquake loads. The buildings may have regular or irregular plans. In the formulation of the design optimization problem minimizing the weight of the building is taken as objective function. The design constraints are implemented according to LRFD-AISC. Design variables are selected as designation of W-sections to be assigned to frame member groups, slab thickness, stud diameter, stud height, deck type and designations of W-sections for intermediate steel beams in the composite slabs. The design optimization problem with such formulation turns out to be discrete nonlinear programming problem. Three soft computing techniques are employed to determine its optimum solution. These are Adaptive Harmony Search (AHS) algorithm, Biogeography optimization with levy Flight (LFBBO) and Whale Optimization (WO) algorithm. The performance of three optimum design algorithms developed is investigated on two three-dimensional six-story steel frames with and without composite slabs. © 2023 Taylor & Francis Group, LLC.
Optimum Detailing Design of Reinforced Concrete Plane Frames To Aci 318-05 Using the Harmony Search Algorithm
(Civil-Comp Press, 2012) Akin, A.; Saka, M.P.
This paper presents the application of the harmony search based algorithm to the optimum detailed design of special seismic moment reinforced concrete (RC) frames under earthquake loads based on American Standard specifications. The objective function is selected as the total cost of the frame which includes the cost of concrete, formwork and reinforcing steel for individual members of the frame. The modular sizes of members, standard reinforcement bar diameters, spacing requirements of reinforcing bars, architectural requirements and other practical requirements in addition to relevant provisions are considered to obtain directly constructible designs without any further modifications. For the RC columns, predetermined section database is constructed and arranged in the order of resisting capacity. The produced optimum design satisfies the strength, ductility, serviceability and other constraints related to good design and stated in the relevant specifications. The lateral seismic forces are calculated according to ASCE 7-05 and it is updated in each iteration. Number of design examples is considered to demonstrate the efficiency of the optimum design algorithm proposed. It is concluded that the developed optimum design model can be used in design offices for practical designs and this study is the first application of the harmony search method to the optimization of RC frames and also the optimization of special seismic moment RC frames to date. © Civil-Comp Press, 2012.