The application of a damage detection method using Artificial Neural Network and train-induced vibrations on a simplified railway bridge model

Engineering Structures

Volumn 52, Issue , 2013, Pages 408-421

  Shu, Jiangpeng ^a   Zhang, Ziye ^a   Gonzalez, Ignacio ^a   Karoumi, Raid ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

Artificial Neural Network (ANN); Damage detection; Dynamic response; Railway bridge; Statistical property

Indexed keywords

BACK-PROPAGATION NEURAL NETWORKS; DETECTION ALGORITHM; FINITE ELEMENT MODELS; IDEALIZED MODELS; NUMERICAL TESTS; RAILWAY BRIDGES; SIMPLY SUPPORTED BEAMS; STATISTICAL PROPERTIES;

DYNAMIC RESPONSE; FINITE ELEMENT METHOD; NEURAL NETWORKS; RAILROAD BRIDGES; STRUCTURAL DYNAMICS;

DAMAGE DETECTION;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; BRIDGE; DAMAGE MECHANICS; DETECTION METHOD; DYNAMIC ANALYSIS; DYNAMIC RESPONSE; EFFICIENCY MEASUREMENT; MODEL TEST; MODEL VALIDATION; NUMERICAL MODEL; RAILWAY; RELIABILITY ANALYSIS; STRUCTURAL ANALYSIS; STRUCTURAL RESPONSE; VIBRATION;

EID: 84876320597     PISSN: 01410296     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engstruct.2013.02.031     Document Type: Article

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