The examining of FRP confined rectangular reinforced concrete columns' load carrying capacity with various mathematical models

The aim of this work is to predict the axial load carrying capacity of rectangular reinforced concrete columns confined with fiber reinforcement polymer. In chapter two, basic characteristics of FRP, which is a new technology for our country, are described in two parts; physical charasteristics and mechanical charasteristics. After describing the mathematical models which obtain the compressive strength of FRP confined concrete columns, these models are applied on published experimental studies in chapter three. Then results of mathematical models are compared with experimental results. In chapter four, two analytical equations in literature , which extend the axial load carrying capacity, are examined. The compressive strength in these equations are calculated with the sensitive mathematical model which was determined in the previous chapter. Experimental results and analytical results are compared to these two analytical equations, and the analytical equations which give the similar results to the experimental results are determined. Besides, Neural Networks are basically described. Then the equation of FRP confined section?s axial load carrying capacity with 14 parameters (Maalej, M., Tanwongsval S., Paramasivam P., 2002) is examined by Neural Networks. Effective parameters are investigated by sensitivity analyses. With the help of generated 50 data set , a Neural Network is modeled, trained and tested. With sensitivity analyses of generated Neural Network system, 8 parameters are determined and analyzed if they are enough to define the axial load carrying capacity. Keywords: Fiber Reinforcement Polymer, Axial Load Carrying Capacity, Neural Networks.