Modeling the mechanical properties of rubberized concretes by neural network and genetic programming

Materials and Structures/Materiaux et Constructions

Volumn 43, Issue 1-2, 2010, Pages 31-45

  Gesoǧlu, Mehmet ^a   Güneyisi, Erhan ^a   Özturan, Turan ^b   Özbay, Erdoǧan ^c  

^a GAZIANTEP UNIVERSITY   (Turkey)

^b BOGAZICI UNIVERSITY   (Turkey)

^c KILIS 7 ARALIK UNIVERSITY   (Turkey)

Author keywords

Genetic programming; Mechanical properties; Neural network; Rubberized concrete; Tire rubber

Indexed keywords

CONCRETE MIXTURE; DESIGN VARIABLES; DISCARDED TIRE RUBBER; EXPERIMENTAL STUDIES; EXPLICIT MODELS; PRACTICAL ESTIMATION; PREDICTION CAPABILITY; PREDICTION OF MECHANICAL PROPERTIES; RUBBER AGGREGATES; RUBBERIZED CONCRETE; SPLITTING TENSILE STRENGTH; STATIC ELASTIC MODULUS; TIRE RUBBER; TIRE RUBBERS; TRAINING AND TESTING; WASTE MATERIALS;

COMPRESSIVE STRENGTH; CONCRETE AGGREGATES; CONCRETES; GENETIC PROGRAMMING; NEURAL NETWORKS; RUBBER; TENSILE STRENGTH; TIRES; WASTE DISPOSAL;

MECHANICAL PROPERTIES;

EID: 72549093096     PISSN: 13595997     EISSN: None     Source Type: Journal    
DOI: 10.1617/s11527-009-9468-0     Document Type: Article

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