Location and severity identification of notch-type damage in a two-storey steel framed structure utilising frequency response functions and artificial neural network

Advances in Structural Engineering

Volumn 15, Issue 5, 2012, Pages 743-757

  Samali, Bijan ^a   Dackermann, Ulrike ^a   Li, Jianchun ^a  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

artificial neural networks; damage identification; frequency response functions; neural network ensembles; principal component analysis; structural health monitoring; two storey framed structure

Indexed keywords

DAMAGE IDENTIFICATION; DAMAGED STRUCTURES; EXPERIMENTAL INVESTIGATIONS; FRAMED STRUCTURE; FREQUENCY RESPONSE FUNCTIONS; INDIVIDUAL CHARACTERISTICS; NEURAL NETWORK ENSEMBLES; SIMULATED DATA; STEEL FRAMED STRUCTURE; VIBRATION-BASED DAMAGE IDENTIFICATION; WHITE GAUSSIAN NOISE;

FREQUENCY RESPONSE; GAUSSIAN NOISE (ELECTRONIC); NEURAL NETWORKS; NUMERICAL METHODS; PRINCIPAL COMPONENT ANALYSIS; STRUCTURAL FRAMES; STRUCTURAL HEALTH MONITORING;

DAMAGE DETECTION;

EID: 84863433929     PISSN: 13694332     EISSN: None     Source Type: Journal    
DOI: 10.1260/1369-4332.15.5.743     Document Type: Article

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