ArticleScientific reports2025
Axial strength prediction of FRP reinforced concrete columns under concentric and eccentric loading using machine learning models.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Over the past decades, the use of fiber-reinforced polymers (FRPs) for retrofitting existing structures has become a widespread practice. More recently, however, the use of FRP bars as the primary reinforcement in new structures-especially concrete columns-has attracted global attention. Various equations have been proposed to predict the compressive strength of columns reinforced with FRP bars. However, these equations typically estimate axial strength without directly accounting for eccentricity. In this study, additional important parameters are considered: eccentricity of axial load, types of longitudinal and transverse reinforcement, and column height. To this end, a dataset of 525 samples is compiled, and machine learning methods-including artificial neural networks (ANN), gene expression programming (GEP), the group method of data handling (GMDH), and multiple linear regression (MLR)-are employed. Among these, ANN yielded the best predictive performance with an R
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