Development of Regression Model and Optimization of Mechanical Properties of Geopolymer Concrete Prepared Using Gold Ore Tailings

dc.contributor.authorLokesha, E.B.
dc.contributor.authorMangalpady, M.
dc.contributor.authorKumar Reddy, S.K.
dc.contributor.authorSrinivasa, A.S.
dc.date.accessioned2026-02-04T12:26:08Z
dc.date.issued2023
dc.description.abstractIn this study, 11 mix proportions of geopolymer concrete (GPC) beam and cylinder samples were prepared by partially replacing the class F fly ash (FA) as the binder with ground granulated blast furnace slag (GGBFS) in steps from 10% to 100%, along with gold ore tailings (GOTs) [as a partial substitute to the river sand (RS) in steps from 5% to 30%] and recycled coarse aggregates (RCAs). The laboratory tests demonstrated a maximum split tensile strength of 5.99 MPa and flexural strength of 7.98 MPa for Sample GOT-11-15 (11 indicates Mix Proportion-XI and 15 indicates 15% of GOTs) of Mix Proportion-XI. In addition to the previous 11 mix proportions, one more set of cylinders and beams was prepared using FA, GOTs, and natural coarse aggregates (NCAs), which are designated as Mix Proportion-XII. For Mix Proportion-XII, the highest split tensile strength of 4.17 MPa and flexural strength of 6.13 MPa was achieved for Sample GOT-15 (15 indicates 15% of GOTs). Among the 12 types of mix proportions, Sample GOT-0 of Mix Proportion-XII (i.e., FA 100%, GOT 0%, and NCAs 100%) showed a maximum slump value of 89.3 mm. Sample GOT-1-0 of Mix Proportion-I (i.e., FA 100%, GOT 0%, and RCA 100%) exhibited the maximum slump of 65.3 mm. The field emission scanning electron microscopy (FESEM) analysis indicated that silicon (Si) and aluminum (Al) were the two main constituents of the GOTs and FA. In addition, this analysis revealed the existence of uneven forms of quartz particles in GOTs and the spherical shapes of the FA particles that adhered to the RCAs. The multiple regression analysis exhibited the root mean square (R2) values of 89.0% and 85.5%, respectively, for the split tensile and flexural strengths. The p-value for the developed model was <0.05; therefore, the developed model was considered significant and the best-fit model. © 2023 American Society of Civil Engineers.
dc.identifier.citationJournal of Hazardous, Toxic, and Radioactive Waste, 2023, 27, 4, pp. -
dc.identifier.issn21535493
dc.identifier.urihttps://doi.org/10.1061/JHTRBP.HZENG-1259
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/21688
dc.publisherAmerican Society of Civil Engineers (ASCE)
dc.subjectBending strength
dc.subjectBlast furnaces
dc.subjectCompressive strength
dc.subjectConcrete aggregates
dc.subjectCylinders (shapes)
dc.subjectField emission microscopes
dc.subjectFly ash
dc.subjectGeopolymers
dc.subjectInorganic polymers
dc.subjectRegression analysis
dc.subjectScanning electron microscopy
dc.subjectSlags
dc.subjectTensile strength
dc.subjectElectron microscopy analysis
dc.subjectField emission scanning electron microscopy
dc.subjectField emission scanning electron microscopy analyse
dc.subjectFourier transform infrared spectroscopy analyse
dc.subjectGeopolymer concrete
dc.subjectGold ore tailing
dc.subjectGold ores
dc.subjectMix proportions
dc.subjectMultiple regression analysis
dc.subjectRecycled coarse aggregate
dc.subjectFourier transform infrared spectroscopy
dc.subjectconcrete
dc.subjectFTIR spectroscopy
dc.subjectgold
dc.subjectmechanical property
dc.subjectoptimization
dc.subjectpolymer
dc.subjectregression analysis
dc.subjectscanning electron microscopy
dc.subjecttailings
dc.titleDevelopment of Regression Model and Optimization of Mechanical Properties of Geopolymer Concrete Prepared Using Gold Ore Tailings

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