Journal
CONSTRUCTION AND BUILDING MATERIALS
Volume 126, Issue -, Pages 484-495Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.conbuildmat.2016.09.048
Keywords
FRP; NSM; Bond; Guidelines; Data mining
Categories
Funding
- FEDER funds through the Operational Program for Competitiveness Factors - COMPETE
- National Funds through FCT (Portuguese Foundation for Science and Technology) under the project CutInDur [FCOMP-01-0124-FEDER-014811, PTDC/ECM/112396/2009]
- FCT [SFRH/BD/87443/2012]
- [POCI-01-0145-FEDER-007633]
- Fundação para a Ciência e a Tecnologia [SFRH/BD/87443/2012, PTDC/ECM/112396/2009] Funding Source: FCT
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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 an alternative to the existing guidelines' models to predict the bond strength of NSM FRP systems. To ease and spread the use of DM algorithms, a web-based tool is presented. This tool was developed to allow an easy use of the DM prediction models presented in this work, where the user simply provides the values of the input variables, the same as those used by the guidelines, in order to get the predictions. The results presented herein show that the DM based models are robust and more accurate than the guidelines' models and can be considered as a relevant alternative to those analytical methods. (C) 2016 Elsevier Ltd. All rights reserved.
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