Hierarchical neural network for damage detection using modal parameters

Structural Engineering and Mechanics

Volumn 70, Issue 4, 2019, Pages 457-466

  Chang, Minwoo ^a   Kim, Jae Kwan ^b   Lee, Joonhyeok ^c  

^a Korea Railroad Research Institute   (South Korea)

^b Seoul National University   (South Korea)

^c Samsung C and T Corporation   (South Korea)

Author keywords

Artificial neural network; Damage detection; Modal identification; Normalized damage significance index; Structural health monitoring

Indexed keywords

COMPOSITE BEAMS AND GIRDERS; LOCATION; MODAL ANALYSIS; NEURAL NETWORKS; STOCHASTIC SYSTEMS; STRUCTURAL HEALTH MONITORING;

DAMAGED STRUCTURES; HIERARCHICAL NEURAL NETWORKS; LABORATORY EXPERIMENTS; MODAL IDENTIFICATION; MODE-SHAPE VECTORS; MULTIPLE DAMAGES; NORMALIZED DAMAGE SIGNIFICANCE INDEX; STOCHASTIC SUBSPACE IDENTIFICATION METHODS;

DAMAGE DETECTION;

EID: 85066454496     PISSN: 12254568     EISSN: 15986217     Source Type: Journal    
DOI: 10.12989/sem.2019.70.4.457     Document Type: Article

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