Using ANN and ANFIS to predict the mechanical and chloride permeability properties of concrete containing GGBFS and CNI

Composites Part B: Engineering

Volumn 45, Issue 1, 2013, Pages 688-696

  Boǧa, Ahmet Raif ^a   Öztürk, Murat ^b   Topçu, Ilker Bekir ^c  

^a AFYON KOCATEPE UNIVERSITY   (Turkey)

^b SELCUK UNIVERSITY   (Turkey)

^c ESKISEHIR OSMANGAZI UNIVERSITY   (Turkey)

Author keywords

A. Ceramic matrix composites (CMCs); B. Electrical properties; B. Strength; C. Computational modeling

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANFIS MODEL; B. STRENGTH; CHLORIDE IONS; CHLORIDE PERMEABILITY; COMPUTATIONAL MODELING; CONCRETE SPECIMENS; CURE CONDITION; DURABILITY PROPERTY; SPLITTING TENSILE STRENGTH;

BLAST FURNACES; CHLORINE COMPOUNDS; COMPRESSIVE STRENGTH; CORROSION INHIBITORS; CURING; ELECTRIC PROPERTIES; NEURAL NETWORKS; SLAGS; TENSILE STRENGTH;

MECHANICAL PERMEABILITY;

EID: 84869497046     PISSN: 13598368     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compositesb.2012.05.054     Document Type: Article

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