Utilization of artificial neural networks to prediction of the capacity of CCFT short columns subject to short term axial load

Archives of Civil and Mechanical Engineering

Volumn 14, Issue 3, 2014, Pages 510-517

  Ahmadi, M ^a   Naderpour, H ^a   Kheyroddin, A ^a  

^a SEMNAN UNIVERSITY   (Iran)

Author keywords

Artificial neural networks; Column capacity; Concrete filled steel tube

Indexed keywords

AXIAL LOADS; COLUMNS (STRUCTURAL); COMPOSITE STRUCTURES; COMPRESSIVE STRENGTH; FORECASTING; NEURAL NETWORKS; TUBULAR STEEL STRUCTURES;

AXIALLY LOADED COLUMNS; COLUMN CAPACITY; COMPRESSIVE STRENGTH OF CONCRETE; CONCRETE FILLED STEEL TUBE; CONCRETE FILLED STEEL TUBE COLUMNS; EFFECTIVE PARAMETERS; HIGH STRENGTH AND DUCTILITY; LATERAL CONFINEMENT;

CONCRETES;

EID: 84901029840     PISSN: 16449665     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.acme.2014.01.006     Document Type: Article

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