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

Ruoyu Jin; Libo Yan; Alfred B.O. Soboyejo; Liang Huang; Bohumil Kasal

doi:10.1016/j.conbuildmat.2018.10.012

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

Ruoyu Jin, Libo Yan, Alfred B.O. Soboyejo, Liang Huang, Bohumil Kasal

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	216-227
Number of pages	12
Journal	Construction and Building Materials
Volume	191
DOIs	https://doi.org/10.1016/j.conbuildmat.2018.10.012
Publication status	Published - 9 Oct 2018

Keywords

Fiber reinforced polymer (FRP)
Mechanical properties
Mixed model
Multivariate regression analysis
Recycled aggregate concrete (RAC)
Size effect
Slenderness
Statistical modeling

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10.1016/j.conbuildmat.2018.10.012

Multivariate regression models in estimating the behavior of FRP tube encasedAccepted author manuscript, 743 KB

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title = "Multivariate regression models in estimating the behavior of FRP tube encased recycled aggregate concrete",

abstract = "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.",

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year = "2018",

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AU - Jin, Ruoyu

AU - Yan, Libo

AU - Soboyejo, Alfred B.O.

AU - Huang, Liang

AU - Kasal, Bohumil

PY - 2018/10/9

Y1 - 2018/10/9

N2 - 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.

AB - 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.

KW - Fiber reinforced polymer (FRP)

KW - Mechanical properties

KW - Mixed model

KW - Multivariate regression analysis

KW - Recycled aggregate concrete (RAC)

KW - Size effect

KW - Slenderness

KW - Statistical modeling

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SN - 0950-0618

VL - 191

SP - 216

EP - 227

JO - Construction and Building Materials

JF - Construction and Building Materials

ER -

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

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