Study of Silica Fume Blended Concrete using Statistical Mixture Experiment and Optimizing of Compressive Strength of Cement Concrete
Journal: International Journal of Trend in Scientific Research and Development (Vol.3, No. 4)Publication Date: 2019-05-01
Authors : Pankaj Kumar M. C Paliwal;
Page : 1489-1499
Keywords : Civil Engineering; Silica fume; Compressive strength; Slump Value; Total sum of square; Model sum of square;
Abstract
The prime objective of this study is to design, analyze and optimize the silica fume blended concrete using Statistical Mixture Experiment and to explore the practicability of Statistical mixture experiment in mix design of concrete containing the several components. The traditional mix design methods have drawbacks. Traditional method of mix design of concrete fails in designing the complex concrete mixture containing the cementitious materials, pozzolanic materials and several admixtures. Traditional methods are based on trial and error method in which effect of only one component can be determined. Trial and error does not provide the whole picture of concrete mixture. In this study, the statistical mixture design method is employed to analyze the effects of silica fume on 28 days compressive strength of concrete and to design and optimize the silica fume blended concrete. The components of concrete mixture are Cement, silica fume, water and aggregate. Total of 15 runs or design points are generated which are combinations of proportions and laboratory experiment is carried out on these design points and 28 days compressive strength is measured. Mathematical relationship is established between 28 days compressive strength and proportions of components using least square technique and then mathematical model is studied to analyze the effects of silica fume in concrete. Pankaj Kumar | M. C Paliwal "Study of Silica Fume Blended Concrete using Statistical Mixture Experiment and Optimizing of Compressive Strength of Cement Concrete" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25178.pdf
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Last modified: 2019-07-04 21:54:23