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Probabilistic Design Analysis of Sustainable Unconventional Materials Used In Concrete Mix Aggregates: A Novel Statistical Analysis Based Eco-Friendly Approach

Probabilistic Design Analysis of Sustainable Unconventional Materials Used In Concrete Mix Aggregates: A Novel Statistical Analysis Based Eco-Friendly Approach
	© 2022 by IJETT Journal
	Volume-70 Issue-1
	Year of Publication : 2022
	Authors : M.R.Vijaya Kumar, Dr S.B.Vanakudre
	DOI :  10.14445/22315381/IJETT-V70I1P231

How to Cite?

M.R.Vijaya Kumar, Dr S.B.Vanakudre, "Probabilistic Design Analysis of Sustainable Unconventional Materials Used In Concrete Mix Aggregates: A Novel Statistical Analysis Based Eco-Friendly Approach," International Journal of Engineering Trends and Technology, vol. 70, no. 3, pp. 275-283, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I1P231

Abstract
The work presented here is to make an investigation of the materials, which are uncommonly used in day to day concrete applications with Flay ash as an exception... The materials that are chosen are Slag, Fly ash and rice husk ash.
A thorough probabilistic analysis of these material properties is made here, as they will be further used to develop a mixed design. Some of the physical properties selected for the analysis are specific gravity, density, grading, voids variation etc. These properties directly affect the properties of concrete, both hardened and fresh state. It is well established by A.M.Neville2 et al. that the variations in the strength of concrete are a result of random variations in the material properties.
The modelling of material properties is carried out considering the statistical behaviour as a continuous distribution. The common distributions investigated are normal, lognormal, and beta distributions and most of the variables are found to conform to more than one of these distributions mentioned above. The fitting of distributions is done by using the Kolmogorov-Smirnov test, considering the distributions as nonparametric up to 5 % of probability of failure. The mean, standard deviation and variance are used to quantify the material properties.
A detailed laboratory analysis is made, and the data obtained is given intense statistical treatment. The variables are found to follow, predominantly normal distribution and are confirmed by the k-s goodness of fit test to detect the distribution model.

Keywords
Probabilistic, Kolmogorov-Smirnov (ks) test, statistic (D), Normal.

Reference
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