Design of fly ash geopolymer concrete mix proportions using Multivariate Adaptive Regression Spline model

Lokuge, Weena and Wilson, Aaron and Gunasekara, Chamila and 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. ISSN 0950-0618

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.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Restricted access to published version in accordance with the copyright policy of the publisher.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying
Date Deposited: 27 Mar 2018 04:29
Last Modified: 28 Mar 2018 02:11
Uncontrolled Keywords: fly ash; geopolymer concrete; Multivariate Adaptive Regression Spline model; mix design; compressive strength
Fields of Research : 09 Engineering > 0905 Civil Engineering > 090503 Construction Materials
09 Engineering > 0905 Civil Engineering > 090506 Structural Engineering
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: 10.1016/j.conbuildmat.2018.01.175
URI: http://eprints.usq.edu.au/id/eprint/33764

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