Waste Tin Addition Beam Samples Non-Destructive Test Techniques Obtained Compressive Strength Estimation Method Of Fuzzy Logic

Abstract

In this study, using the results of non-destructive testing of added beams samples of waste cans to estimate the compressive strength of artificial intelligence techniques, to develop a model with fuzzy logic method.In the study, lean and waste tins supplement beam samples of two main series were produced. Beam samples 5 of lean and 30 with supplement waste tins as a 100 mm x 100 mm x 500 mm dimensions a total of 35 were produced. Waste cans supplement series beams are divided with each other according to it's size and the amount into three series. Waste cans aspect ratio, l / e = 40mm/5mm, 50mm/5mm, 60mm/5mm in three different sizes and with the amount of 30 kg/m3, 40 kg/m3, 60 kg/m3 to be determined. In the study 3 pieces of lean 150 x 150 x 150 mm cube size samples and 27 pieces of waste cans supplement standard 150 x 150 x 150 mm cube size samples were produced. Produced samples stored 28 days in the appropriate cure conditions have been subjected to pressure.At the end of the beam specimens in the 28-day cure period by non-destructive testing of compressive strength values were obtained. Schmidt and ultrasonic transition rate data obtained from experiments used as input parameters, the cube compressive strength test data obtained from samples was used as an output parameter from the modeling method, fuzzy logic. The developed fuzzy logic model and the predicted compressive strength, with the estimated ability of the model was tested compressive strength values compared. The experimental results are given in the study.