Multivariate regression models in estimating the behavior of FRP tube encased recycled aggregate concrete
Journal article
Jin, R., Yan, L., Soboyejo, Alfred BO., Huang, L. and Kasal, B. (2018). Multivariate regression models in estimating the behavior of FRP tube encased recycled aggregate concrete. Construction and Building Materials. 191, pp. 216-227. https://doi.org/10.1016/j.conbuildmat.2018.10.012
| Authors | Jin, R., Yan, L., Soboyejo, Alfred BO., Huang, L. and Kasal, B. |
|---|---|
| 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. |
| Year | 2018 |
| Journal | Construction and Building Materials |
| Journal citation | 191, pp. 216-227 |
| Publisher | Elsevier BV |
| ISSN | 0950-0618 |
| Digital Object Identifier (DOI) | https://doi.org/10.1016/j.conbuildmat.2018.10.012 |
| Publication dates | |
| Dec 2018 | |
| Online | 09 Oct 2018 |
| Publication process dates | |
| Accepted | 02 Oct 2018 |
| Deposited | 03 Jun 2020 |
| Accepted author manuscript | License File Access Level Open |
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| 6 Sep Mutivariate regression FRP-RCA paper.pdf | ||
| License: CC BY-NC-ND 4.0 | ||
| File access level: Open | ||
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