Linear and nonlinear model updating of reinforced concrete T-beam bridges using artificial neural networks

Computers and Structures

Volumn 119, Issue , 2013, Pages 1-11

  Hasançebi, Oǧuzhan ^a   Dumlupinar, Taha ^a  

^a MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Artificial neural networks; FE model updating and calibration; Linear and nonlinear structural analyses; RC T beam bridges; Structural identification

Indexed keywords

BRIDGE RESPONSE; DATA SETS; FE MODEL; FE MODEL UPDATING; FIELD EXPERIMENT; FINITE ELEMENT MODELS; KEY PARAMETERS; LABORATORY TEST; MODEL UPDATING; NON-LINEAR MODEL; NON-LINEAR RESPONSE; NONLINEAR MATERIAL PROPERTIES; NONLINEAR STRUCTURAL ANALYSIS; PARAMETER PREDICTION; PENNSYLVANIA; RESEARCH FIELDS; SIMULATED RESPONSE; STATIC RESPONSE; STRUCTURAL IDENTIFICATION; STRUCTURAL SYSTEMS;

CALIBRATION; DETERIORATION; DYNAMIC RESPONSE; IDENTIFICATION (CONTROL SYSTEMS); LIFE CYCLE; NEURAL NETWORKS; PARAMETER ESTIMATION; REINFORCED CONCRETE;

COMPUTER SIMULATION;

EID: 84873401433     PISSN: 00457949     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compstruc.2012.12.017     Document Type: Article

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