Machine Learning–Based Seismic Reliability Assessment of Bridge Networks

AbstractTransportation networks are critical components of lifeline systems. They can experience disruptions due to seismic hazards that could lead to severe emergency response and recovery problems. Finding an efficient and effective method to evaluate the seismic reliability of bridge networks is...

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Veröffentlicht in:	Journal of structural engineering (New York, N.Y.) N.Y.), 2022-07, Vol.148 (7)
Hauptverfasser:	Chen, Mengdie, Mangalathu, Sujith, Jeon, Jong-Su
Format:	Artikel
Sprache:	eng
Schlagworte:	Component reliability Critical components Emergency management Emergency response Machine learning Management systems Network reliability Reliability analysis Retrofitting Risk management Seismic hazard Structural engineering Technical Note Technical Notes Transportation networks
Online-Zugang:	Volltext
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