Artificial neural network model for deflection analysis of superelastic shape memory alloy reinforced concrete beams

Canadian Journal of Civil Engineering

Volumn 37, Issue 6, 2010, Pages 855-865

  Elbahy, Y I ^a   Nehdi, M ^a   Youssef, M A ^a  

^a UNIVERSITY OF WESTERN ONTARIO   (Canada)

Author keywords

Artificial neural networks; Load deflection; Moment of inertia; Reinforced concrete; Shape memory alloy

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK MODELS; ARTIFICIAL NEURAL NETWORKS; DEFLECTION ANALYSIS; DESIGN CHARTS; DESIGN TOOL; INPUT DATAS; LOAD DEFLECTION; MODULUS OF ELASTICITY; MOMENT OF INERTIA; NEW MODEL; OPTIMUM PERFORMANCE; OUTPUT DATA; PARAMETRIC STUDY; RC BEAMS; REDUCTION FACTOR; REINFORCED CONCRETE BEAMS; REINFORCEMENT RATIOS; SHAPE MEMORY ALLOY; SUPERELASTIC SHAPE MEMORY ALLOY;

ALLOYS; CONCRETE BEAMS AND GIRDERS; CONCRETE BUILDINGS; DEFLECTION (STRUCTURES); DESIGN; REINFORCED CONCRETE; REINFORCEMENT; SHAPE MEMORY EFFECT;

NEURAL NETWORKS;

ALLOY; ARCHITECTURAL DESIGN; ARTIFICIAL NEURAL NETWORK; COMPUTER AIDED DESIGN; DATABASE; DEFLECTION; ELASTIC MODULUS; FOUNDATION; INERTIA; LOADING; NETWORK DESIGN; REINFORCED CONCRETE; STRUCTURAL ANALYSIS;

EID: 77953765185     PISSN: 03151468     EISSN: None     Source Type: Journal    
DOI: 10.1139/L10-039     Document Type: Article

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