Fibre-reinforced plastic

Engineering

Statistics

Multivariate statistics

Geotechnical engineering

Materials science

Tube (container)

Multivariate analysis

Aggregate (composite)

Regression analysis

Mechanical engineering

Mathematics

Cylinder

Composite material

Structural engineering

Construction and Building Materials

This study applied newly developed multivariate statistical models to estimating the mechanical properties of recycled aggregate concrete cylinder encased by fiber reinforced polymer (FRP). Two different types of RFPs were applied, namely flax FRP and polyester FRP. Ten independent variables were predefined including the FRP type and cylinder size. It was found that several mixed models outperformed the traditional linear regression approach, based on the accuracy and residual value distribution. Individual factor analysis indicated that the fiber thickness and layer number had more significant impacts on the strength and strain of FRP-encased concrete's transitional point, compared to their impacts at the ultimate state.

Multivariate regression models in estimating the behavior of FRP tube encased recycled aggregate concrete