Artificial intelligence techniques for prediction of the capacity of RC beams strengthened in shear with external FRP reinforcement

Composite Structures

Volumn 92, Issue 5, 2010, Pages 1169-1175

  Perera, Ricardo ^a   Arteaga, Angel ^b   Diego, Ana De ^b  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

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

Author keywords

FRP; Genetic algorithms; Neural networks; Reinforced concrete; Shear strengthening

Indexed keywords

ARTIFICIAL INTELLIGENCE TECHNIQUES; COMPLEX MODEL; CONVENTIONAL METHODS; EXPERIMENTAL VALUES; EXTERNALLY BONDED; FRP; FRP REINFORCEMENT; RC BEAMS; REINFORCED CONCRETE BEAMS; SHEAR CAPACITY; SHEAR MECHANISMS; SHEAR STRENGTHENING;

BUILDING MATERIALS; CONCRETE BEAMS AND GIRDERS; CONCRETE BUILDINGS; FIBER REINFORCED PLASTICS; GENETIC ALGORITHMS; REINFORCED CONCRETE; REINFORCED PLASTICS; REINFORCEMENT; STRENGTHENING (METAL);

NEURAL NETWORKS;

BEAM; CONCRETE; FIBER REINFORCED COMPOSITE; NEURAL NETWORK; PLASTIC; PREDICTION; SHEAR PROPERTY;

EID: 73449098116     PISSN: 02638223     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compstruct.2009.10.027     Document Type: Article

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