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dc.contributor.authorYang, Keun-Hyeok*
dc.contributor.authorSong, J-K.*
dc.contributor.authorLee, K-S.*
dc.contributor.authorAshour, Ashraf F.*
dc.date.accessioned2016-02-03T15:03:29Z
dc.date.available2016-02-03T15:03:29Z
dc.date.issued2009-01-01
dc.identifier.citationYang KH, Song JK, Lee KS and Ashour AF (2009) Flow and Compressive Strength of Alkali-Activated Mortars. ACI Materials Journal, 106 (1): 50-58.en_US
dc.identifier.urihttp://hdl.handle.net/10454/7741
dc.descriptionyesen_US
dc.description.abstractTest results of thirty six ground granulated blast-furnace slag (GGBS)-based mortars and eighteen fly ash (FA)-based mortars activated by sodium silicate and/or sodium hydroxide powders are presented. The main variables investigated were the mixing ratio of sodium oxide (Na2O) of the activators to source materials, water-to-binder ratio, and fine aggregate-to-binder ratio. Test results showed that GGBS based alkali-activated (AA) mortars exhibited much higher compressive strength but slightly less flow than FA based AA mortars for the same mixing condition. Feed-forward neural networks and simplified equations developed from nonlinear multiple regression analysis were proposed to evaluate the initial flow and 28-day compressive strength of AA mortars. The training and testing of neural networks, and calibration of the simplified equations were achieved using a comprehensive database of 82 test results of mortars activated by sodium silicate and sodium hydroxide powders. Compressive strength development of GGBS-based alkali-activated mortars was also estimated using the formula specified in ACI 209 calibrated against the collected database. Predictions obtained from the trained neural network or developed simplified equations were in good agreement with test results, though early strength of GGBS-based alkali-activated mortars was slightly overestimated by the proposed simplified equations.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://www.concrete.org/publications/internationalconcreteabstractsportal.aspx?m=details&ID=56316en_US
dc.rights© 2009 ACI. Reproduced in accordance with the publisher's self-archiving policy.en_US
dc.subjectAlkali-activated mortar, Fly ash, Ground granulated blast furnace slag, Neural network, Regression analysisen_US
dc.titleFlow and Compressive Strength of Alkali-Activated Mortars.en_US
dc.status.refereedyesen_US
dc.typeArticleen_US
dc.type.versionAccepted Manuscripten_US
refterms.dateFOA2018-07-25T12:56:07Z


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