Detection of fatigue cracking in steel bridge girders: A support vector machine approach

Archives of Civil and Mechanical Engineering

Volumn 17, Issue 3, 2017, Pages 609-622

  Hasni, Hassene ^a   Alavi, Amir H ^a   Jiao, Pencheng ^a   Lajnef, Nizar ^a  

^a Michigan State University   (United States)

Author keywords

Damage detection; Fatigue cracking; Self powered wireless sensors; Steel bridges; Support vector machine

Indexed keywords

BEAMS AND GIRDERS; CLASSIFICATION (OF INFORMATION); CRACKS; DAMAGE DETECTION; DATA ACQUISITION; FATIGUE DAMAGE; FINITE ELEMENT METHOD; HIGHWAY BRIDGES; PLATE GIRDER BRIDGES; STEEL BRIDGES; SUPPORT VECTOR MACHINES;

CLASSIFICATION PERFORMANCE; CUMULATIVE DENSITY FUNCTIONS; DATA ACQUISITION NODES; DISTORTION-INDUCED FATIGUE; FATIGUE CRACKING; FINITE ELEMENT SIMULATIONS; MULTIPLE DAMAGE STATE; WIRELESS SENSOR;

CRACK DETECTION;

EID: 85011064740     PISSN: 16449665     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.acme.2016.11.005     Document Type: Article

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