Shear strength estimations and shear designs on RC beams with limited ductility by FL and FIL methods

In this study, a fuzzy logic model was constituted by using the Fuzzy Logic (FL) method, which is one of traditional artificial intelligence (AI) methods, in order to estimate shear strength reinforced concrete (RC) beams with limited ductility. model, beam width(bw), height(h), characteristic compressive strength(fck), transverse reinforcement diameter(T), number arms bearing force reinforcement(n) and spacing(s) were taken into account as variable parameters. The developed problem data containing solutions 2640 different cross-section properties tested 480 from these data. tests FL maximum percentage error, minimum average error correlation coefficient values obtained 3.604, -0.091, 1.514 R2=0.999678. By applying inverse method (FIL), recently author on seen have been quite sensitively test results, total 521 designs for 15 RC ductility subjected shear. check accuracy designs, after strengths conventional computations % coefficients computed between design. promising results show that FIL can be used design under even other scientific studies such design, optimization control.