Using data mining algorithms to predict the bond strength of NSM FRP systems in concrete

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Using data mining algorithms to predict the bond strength of NSM FRP systems in concrete

This paper presents the effectiveness of soft computing algorithms in analyzing the bond behavior of fiber reinforced polymer (FRP) systems inserted in the cover of concrete elements, commonly known as the near-surface mounted (NSM) technique. It focuses on the use of Data Mining (DM) algorithms as...

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Bibliographic Details
Main Authors:	Coelho, Mário R.F., Sena-Cruz, José M., Neves, Luís A.C., Pereira, Marta, Cortez, Paulo, Miranda, Tiago
Format:	Article
Published:	Elsevier 2016
Subjects:	FRP; NSM; Bond; Guidelines; Data Mining
Online Access:	https://eprints.nottingham.ac.uk/40378/

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