عنوان مقاله [English]
Optimum economic design is one of the main goals of civil engineering. Today, reinforced concrete the columns reinforced fibers called FRP fibers. The fiber is available in three types of carbon, glass, and aramid. In this study, the teaching and learning metaheuristic algorithm used to determine the dimensions of the column and steel bars, as well as the number of FRP layers needed for reinforcement. Considering the limitations and constraint that are intended for design, the algorithm determines the dimensions of the concrete cross-section and the bars, and then examines the cross-sectional strength and, if required for reinforcement, a number of FRP layers to reinforce the cross-sectional will use. The cost function includes the cost of concrete, reinforcing, and the FRP, which has been introduced as a target function. Design criteria and design constraints are implemented and formulated in accordance with the ACI 440-08 and ACI 318-14. Therefore, the set of target functions and constraints are related to each other so that the lowest cost based on the objective function is achieved by establishing all constraints (acceptable design) at a point called the optimal design. According to the results, using the dimensions of the column and number of bars represented by the algorithm, CFRP use is more cost effective.