Author/Authors :
ÇAKIROĞLU, Melda Alkan Süleyman Demirel Üniversitesi - Teknik Eğitim Fakültesi - Yapı Eğitimi Bölümü, Turkey , ERENOĞLU, Eren Süleyman Demirel Üniversitesi - Teknik Eğitim Fakültesi - Yapı Eğitimi Bölümü, Turkey , KASAP, Serdar Süleyman Demirel Üniversitesi - Teknik Eğitim Fakültesi - Yapı Eğitimi Bölümü, Turkey , EKİZ, Yunus Süleyman Demirel Üniversitesi - Teknik Eğitim Fakültesi - Yapı Eğitimi Bölümü, Turkey
Title Of Article :
FORECAST WITH ANFIS METHOD OF COMPRESSIVE STRENGTH OBTAINED NON-DESTRUCTIVE TEST METHODS CONCRETES OF ADDITIVE STEEL FIBER
Abstract :
In this study, we developed a method using non-destructive test results Adaptive Neural Network-Based Fuzzy Inference System (ANFIS) model for produced by participating in various forms of steel fiber concrete compressive strengths for the prediction. In this context, 4 different geometric shape and extent of steel fiber doped with 18 to 150 mm x 150mm x 150 mm standard cube samples were produced and 6 lean sample has been produced. The produced samples has been subject to non-destructive experiments at the of 7 and 28 curing time. Then, the compressive strength values were obtained by compression test on the samples. The data obtained from experiments was used as input parameters for ANFIS modeling method. The age of the concrete, the transition rate of the model schmidit and ultrasonic was used as the model input compressive strength was the output. The developed ANFIS model and the predicted compressive strength, uniaxial compressive strength values compared with the estimated ability of the model was tested. As a result, ANFIS, different geometric fiber reinforced concrete compressive strength prediction using non-destructive testing methods used in studies to be conducted on this issue and is thought to provide a great benefit.
NaturalLanguageKeyword :
ANFIS , Non , Destructive Test Methods , Compressive Strength
JournalTitle :
Sdu International Technologic Science
