Hybrid Ensemble Model for Predicting the Strength of FRP Laminates Bonded to the Concrete
Hybrid Ensemble Model for Predicting the Strength of FRP Laminates Bonded to the Concrete
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Publisher
Basel: MDPI AG
Journal title
Language
English
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Publisher
Basel: MDPI AG
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Scope and Contents
Contents
The goal of this work was to use a hybrid ensemble machine learning approach to estimate the interfacial bond strength (IFB) of fibre-reinforced polymer laminates (FRPL) bonded to the concrete using the results of a single shear-lap test. A database comprising 136 data was used to train and validate six standalone machine learning models, namely, a...
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Full title
Hybrid Ensemble Model for Predicting the Strength of FRP Laminates Bonded to the Concrete
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9460908
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9460908
Other Identifiers
ISSN
2073-4360
E-ISSN
2073-4360
DOI
10.3390/polym14173505
