Shear strength predicting of FRP-strengthened RC beams by using artificial neural networks

Science and Engineering of Composite Materials

Volumn 21, Issue 2, 2014, Pages 239-255

  Yavuz, Gunnur ^a   Arslan, Musa Hakan ^a   Baykan, Omer Kaan ^a  

^a SELCUK UNIVERSITY   (Turkey)

Author keywords

Artificial neural network; Beam; Externally bonded FRP; Shear strength; Strengthening

Indexed keywords

BACKPROPAGATION; BUILDING CODES; FORECASTING; NEURAL NETWORKS; REINFORCED CONCRETE; SHEAR STRENGTH; STRENGTHENING (METAL);

BEAM; EXTERNALLY BONDED; FIBER REINFORCED POLYMERS; INPUT PARAMETER; INPUT VECTOR; OUTPUT VECTORS; REINFORCED CONCRETE BEAMS; ULTIMATE SHEAR STRENGTH;

CONCRETE BEAMS AND GIRDERS;

EID: 84898621748     PISSN: 0334181X     EISSN: None     Source Type: Journal    
DOI: 10.1515/secm-2013-0002     Document Type: Article

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