Open AccessPredicting the Bond Strength of thin Steel Rebars in Concrete by Means of Artificial Neural Networks
Author(s) -
Priscila F. S. Silva,
Gray Farias Moita,
Eliene Pires Carvalho
Publication year - 2020
Publication title -
proceedings of the world congress on civil, structural, and environmental engineering
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.129
H-Index - 5
ISSN - 2371-5294
DOI - 10.11159/icsect20.165
Subject(s) - artificial neural network , bond strength , bond , computer science , materials science , artificial intelligence , structural engineering , composite material , engineering , layer (electronics) , finance , economics , adhesive
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