Author/Authors
ALKAN ÇAKIROĞLU, Melda Süleyman Demirel Üniversitesi - Teknik Eğitim Fakültesi - Yapı Eğitimi Bölümü, Turkey , KAYA, Fatih Süleyman Demirel Üniversitesi - Teknik Eğitim Fakültesi - Yapı Eğitimi Bölümü, Turkey , YİĞİT YEDEK, Çiğdem Süleyman Demirel Üniversitesi - Teknik Eğitim Fakültesi - Yapı Eğitimi Bölümü, Turkey
Title Of Article
ESTIMATION OF ELASTICITY MODULUS OF DRY MIX SHOTCRETE WITH FUZZY LOGIC METHOD
شماره ركورد
35837
Abstract
Nowadays, computer models, such as Artificial Intelligence Methods, are becoming increasingly common because it is capable of solving, results are acceptable a close approximation in application fields. In this study, a fuzzy logic algorithm was designed benefiting from compressive strength of dry mix shotcrete and Fuzzy Logic Method from one of the Artificial Intelligence Methods in order to estimate the elasticity modulus of shotcrete. To determine compressive strenght of dry mix shotcrete, in accordance with TS 11747 3 pieces each side 45 cm and in accordance with ACI 506 2 pieces each side 76 cm square shaped wood panels has been generated. 12 cm thick dry mixture shotcrete were sprayed to test panels. Created panels of aspect ratio = (height/diameter) = (100 mm/100 mm) = 1 with 25 pieces based on drilling core samples subjected to compressive strenght test. Data obtained from experiments using as input parameters in the ANFIS method, a model have been improved. The results obtained from the developed model of fuzzy logic, can be used in the estimation of elasticity modules of shotcrete with dry mixtures.
From Page
22
NaturalLanguageKeyword
Dry , mix shotcrete , Compressive strength , Modulus of Elasticity , ANFIS
JournalTitle
Sdu International Technologic Science
To Page
30
JournalTitle
Sdu International Technologic Science
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