Machine Learning–Based Failure Mode Recognition of Circular Reinforced Concrete Bridge Columns: Comparative Study

AbstractThe prediction of failure mode of columns is critical in deciding the operational and recovery strategies of a bridge after a seismic event. This paper contributes to the critical need of failure mode prediction for circular reinforced concrete bridge columns by exploring the capabilities of...

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Veröffentlicht in:	Journal of structural engineering (New York, N.Y.) N.Y.), 2019-10, Vol.145 (10)
Hauptverfasser:	Mangalathu, Sujith, Jeon, Jong-Su
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Artificial neural networks Bridge failure Circularity Classification Columns (structural) Comparative studies Concrete bridges Decision analysis Decision trees Discriminant analysis Failure modes Flexing Machine learning Neural networks Recognition Reinforced concrete Seismic activity Structural engineering Technical Papers
Online-Zugang:	Volltext
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