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CALL FOR PAPERS : DEC-2018

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Call for Paper Vol-7 Iss-02 Feb-2018

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Published Vol-07 Iss-01 Jan-18

IJRET Volume-07 Issue-01, Jan-2018 is published now.

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EFFECT OF ALKALINE LIQUID RATIO ON THE COMPRESSIVE STRENGTH OF GEOPOLYMER CONCRETE (A THEORETICAL APPROACH)

D. Annapurna, Ravande Kishore, G.Vikas

Abstract: Carbon dioxide (CO2) emission into the atmosphere is a factor for the cement industries, as the green house effect created by emission is considered to produce an increase in global temperature that may result in climate change. The use of concrete is increasing worldwide in a fast track and therefore the development of suitable concrete is expected for environmental reasons and for strength parameter. Replacement of cement with Geopolymer is one of the efforts to produce more environmentally friendly concrete. No cement is used in Geopolymer concrete, but fly ash and alkaline solutions, i.e, sodium hydroxide (Na OH) and sodium silicate (Na2O, SiO2) are used to make the binder necessary to manufacture the concrete. To produce 2.5 cubic meter of high quality Geopolymer concrete, One tone of fly ash can be utilized. In this study investigations are made to see the effect of Alkaline liquid to fly ash ratio on compressive strength of Geopolymer concrete in ambient conditions as well as oven dry conditions at 900 for 4 hours. Alkaline liquid ratio is varied from 0.5 to 0.3 and compressive strengths are detected after 7 and 28 days. A mathematical model is prepared by using the Fuzzy logic to predict the compressive strength of Geopolymer concrete for different chemical ratios using the experimental results. The alkaline liquid ratio is used as input and 7 days, 28 days and oven dried samples compressive strengths are used as output while developing Fuzzy logic model. Compressive strength of Geopolymer concrete depends on proportioning of ingredient of mix design. Fuzzy logic model can be effectively used to replace the experimental work. To develop the model, part of the experimental data is used for Training & Testing and remaining part for validating the results.

Keywords: Geopolymer Concrete, Fuzzy Logic model, Compressive strength.

DOI: https://doi.org/10.15623/ijret.2015.0413006

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