Research Information System
12th International Congress on Advances in Civil Engineering, İstanbul, Turkey, 21 - 23 September 2016, pp.1-8
Optimum cost design of columns subjected to axial force and uniaxial bending moment is presented in this proceeding. In the formulation of the optimum design problem, the height and width of the column, diameter and number of reinforcement bars are treated as design variables. The design constraints are implemented according to ACI 318-08 and studies in the literature. The objective function is taken as the cost of unit length of the column consisting the cost of concrete, steel, and shuttering. The solution of the design problem is obtained using the big bang-big crunch optimization algorithm which is one of the recent additions to metaheuristic techniques. Big bang-big crunch optimization algorithm relies on one of the theories of the evolution of the universe; namely, the Big Bang and Big Crunch Theory. In the Big Bang phase, energy dissipation produces disorder and randomness is the main feature of this phase; whereas, in the Big Crunch phase, randomly distributed particles are drawn into an order. Obtained results showed that the optimum value of numerical example is nearly same with the existing values in the literature.