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Volumn 30, Issue , 2012, Pages 556-568

An approach for estimating the capacity of RC beams strengthened in shear with FRP reinforcements using artificial neural networks

Author keywords

FRP; Neural networks; RC beams; Shear strengthening

Indexed keywords

ARTIFICIAL NEURAL NETWORK MODELS; DESIGN CODES; DIMENSIONAL PROPERTIES; EXTERNALLY BONDED; FIBER REINFORCED POLYMERS; FRP; FRP REINFORCEMENT; INTERNATIONAL FEDERATION; NATIONAL RESEARCH COUNCIL; NEURAL NETWORK MODEL; RC BEAMS; REINFORCED CONCRETE BEAMS; SHEAR CAPACITY; SHEAR STRENGTHENING; SPAN-TO-DEPTH RATIO; STRENGTHENING MATERIALS; STRUCTURAL CONCRETES;

EID: 84855284673     PISSN: 09500618     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.conbuildmat.2011.12.008     Document Type: Article
Times cited : (73)

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