Prediction of the ultimate strength of reinforced concrete beams FRP-strengthened in shear using neural networks

Composites Part B: Engineering

Volumn 41, Issue 4, 2010, Pages 287-298

  Perera, R ^a   Barchin M ^a   Arteaga, A ^b   Diego, A De ^b  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

^b INSTITUTO DE CIENCIAS DE LA CONSTRUCCIÓN EDUARDO TORROJA   (Spain)

Author keywords

C. Computational modelling; CFRP materials; RC beams strengthening

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CFRP MATERIALS; COMPUTATIONAL MODELLING; DESIGN PROPOSAL; EXPERIMENTAL DATA; EXPERIMENTAL TEST; EXTERNALLY BONDED; FIBRE REINFORCED POLYMERS; PARAMETRIC STUDY; RC BEAMS; REINFORCED CONCRETE BEAMS; SHEAR STRENGTHENING; ULTIMATE STRENGTH;

CONCRETE BEAMS AND GIRDERS; CONCRETE BUILDINGS; DESIGN; FIBER REINFORCED PLASTICS; NEURAL NETWORKS; REGRESSION ANALYSIS; REINFORCED CONCRETE; REINFORCEMENT; STRENGTHENING (METAL);

SHEAR STRENGTH;

EID: 77951208685     PISSN: 13598368     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compositesb.2010.03.003     Document Type: Article

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