Modeling and simulation of low-cycle fatigue life of steel reinforcing bars using artificial neural network

Journal of the Franklin Institute

Volumn 348, Issue 7, 2011, Pages 1393-1403

  Abdalla, Jamal A ^a   Hawileh, Rami ^a  

^a AMERICAN UNIVERSITY OF SHARJAH   (United Arab Emirates)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYSIS AND DESIGN; ANN PREDICTION; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK TOPOLOGY; FATIGUE FAILURES; HIDDEN LAYERS; INPUT PARAMETER; LOW-CYCLE FATIGUE LIFE; LOW-CYCLE FATIGUE TESTS; MODELING AND SIMULATION; NUMBER OF CYCLES; PARAMETRIC STUDY; PROCESSING ELEMENTS; RADIAL BASIS FUNCTIONS; REINFORCING BAR; STRAIN AMPLITUDE; STRAIN RATIOS; TEST DATA;

BARS (METAL); COMPUTER SIMULATION; ELECTRIC NETWORK TOPOLOGY; FATIGUE OF MATERIALS; FATIGUE TESTING; RADIAL BASIS FUNCTION NETWORKS; REINFORCED CONCRETE; REINFORCEMENT; TENSILE STRAIN;

NEURAL NETWORKS;

EID: 79961028873     PISSN: 00160032     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfranklin.2010.04.005     Document Type: Conference Paper

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