Assessment of RC exterior beam-column Joints based on artificial neural networks and other methods

•Development of a database comprising experimental information of 153 RC beam-column elements.•Development of an ANN model so as to predict the failure mode and strength of the subject elements.•Verification of the proposed ANN by comparing its predictions with the available test data.•Comparative s...

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Veröffentlicht in:	Engineering structures Jg. 144; S. 1 - 18
Hauptverfasser:	Kotsovou, Gregoria M., Cotsovos, Demitrios M., Lagaros, Nikos D.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.08.2017 Elsevier BV
Schlagworte:	Artificial neural networks Beam-columns Carrying capacity Codes of practice Design External beam-column joints Load carrying capacity Neural networks Reinforced concrete Design External beam-column joints Codes of practice Artificial neural networks Reinforced concrete
ISSN:	0141-0296, 1873-7323
Online-Zugang:	Volltext
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