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

Ruoyu Jin, Qian Chen, Alfred Soboyejo

Research output: Contribution to journalArticlepeer-review


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 analysis 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 when using 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.
Original languageEnglish
Pages (from-to)142-152
Number of pages11
JournalConstruction and Building Materials
Publication statusPublished - 23 Mar 2018

Bibliographical note

© 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license


Dive into the research topics of 'Non-linear and mixed regression models in predicting sustainable concrete strength'. Together they form a unique fingerprint.

Cite this