Non-linear and mixed regression models in predicting sustainable concrete strength

Published on May 1, 2018in Construction and Building Materials4.046
· DOI :10.1016/j.conbuildmat.2018.03.063
Ruoyu Jin11
Estimated H-index: 11
(University of Brighton),
Qian Chen11
Estimated H-index: 11
(OSU: Ohio State University),
Alfred B. O. Soboyejo15
Estimated H-index: 15
(OSU: Ohio State University)
Abstract Most previous research adopting the regression analysis to capture the relationship between concrete properties and mixture-design-related variables was based on the linear approach with limited accuracy. This study applies non-linear and mixed regression analyses to model properties of environmentally friendly concrete based on a comprehensive set of variables containing alternative or waste materials. It was found that best-fit non-linear and mixed models achieved similar accuracies and superior R2 values compared to the linear approach, with both the numerical and relative input methods. Individual materials’ effects on concrete strength were statistically quantified at different curing ages using the best-fit models.
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