Design of fly ash geopolymer concrete mix proportions using Multivariate Adaptive Regression Spline model
Article
Lokuge, Weena, Wilson, Aaron, Gunasekara, Chamila, Law, David W. and Setunge, Sujeeva. 2018. "Design of fly ash geopolymer concrete mix proportions using Multivariate Adaptive Regression Spline model." Construction and Building Materials. 166, pp. 472-481. https://doi.org/10.1016/j.conbuildmat.2018.01.175
| Article Title | Design of fly ash geopolymer concrete mix proportions using Multivariate Adaptive Regression Spline model |
|---|---|
| ERA Journal ID | 3470 |
| Article Category | Article |
| Authors | Lokuge, Weena (Author), Wilson, Aaron (Author), Gunasekara, Chamila (Author), Law, David W. (Author) and Setunge, Sujeeva (Author) |
| Journal Title | Construction and Building Materials |
| Journal Citation | 166, pp. 472-481 |
| Number of Pages | 10 |
| Year | 2018 |
| Publisher | Elsevier |
| Place of Publication | Netherlands |
| ISSN | 0950-0618 |
| Digital Object Identifier (DOI) | https://doi.org/10.1016/j.conbuildmat.2018.01.175 |
| Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S0950061818301995 |
| Abstract | Many research studies have been conducted during recent years on the topic of geopolymer materials based on the engineering performance of the concrete. What has been missing is the combination of this research in a way that would provide a simple to use design tool for geopolymer concrete as a replacement to concrete based on Portland Cement. This research paper addresses this requirement for developing a standard mix design method for Class F, low calcium fly ash based geopolymer concrete using Multivariate Adaptive Regression Spline (MARS) model. Published geopolymer concrete research data was combined into a database and analysed to give the ratios of water/solid, alkaline activator/fly ash, Na2SiO3/NaOH, and NaOH molarity. Targeted compressive strengths ranging from 30 MPa to 55 MPa at 28 days were achieved with laboratory experiments, using the proposed MARS mix design methodology. Thus, this tool has the capability to provide a novel approach for the design of geopolymer concrete mixes to achieve the desired compressive strength appropriate for the construction requirement. |
| Keywords | fly ash; geopolymer concrete; Multivariate Adaptive Regression Spline model; mix design; compressive strength |
| ANZSRC Field of Research 2020 | 400505. Construction materials |
| 400510. Structural engineering | |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Byline Affiliations | School of Civil Engineering and Surveying |
| Royal Melbourne Institute of Technology (RMIT) | |
| Institution of Origin | University of Southern Queensland |
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