#6621. Classification and regression tree (CART) modelling for analysis of shear strength of FRP-RC members

December 2026publication date
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Journal’s subject area:
Mathematics (all);
Agricultural and Biological Sciences (all);
Environmental Science (all);
Energy (all);
Biochemistry, Genetics and Molecular Biology (all);
Chemistry (all);
Materials Science (all);
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Abstract:
The shear behaviour of concrete members that are reinforced with fibre-reinforced polymer (FRP) bars varies from that of steel reinforced concrete members. The use of non-parametric techniques, which can explain the relationship between different properties of FRP members in more detail, has not yet been well researched in this area. This study utilized a non-parametric technique, namely Classification and Regression Tree (CART) to predict the shear capacity of FRP reinforced concrete members. The members were only reinforced lengthways without vertical reinforcement. A total of 216 experimental results are used to train and test the CART model. The outcomes from CART were compared to traditional models and equations, as well as another non-parametric model from previous research.
Keywords:
CART model; Concrete; FRP bars; Shear capacity

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