Probabilistic Design Analysis of Sustainable Unconventional Materials Used In Concrete Mix Aggregates: A Novel Statistical Analysis Based Eco-Friendly Approach
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
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.
Probabilistic, Kolmogorov-Smirnov (ks) test, statistic (D), Normal.
 Applied statistics and Probability for Engineers by Douglas C.Montogemery and George C. Runger, Publisher John Wiley and Sons.
 Neville .A.M., Properties of concrete. Addison Wesley Longman Limited, England, (1987).
 Structural Reliability analysis and design by R Ranganathan., Jaico publishers, Bombay, (2000).
 Indian Concrete Institute Journal, A statistical analysis of suggested nominal mixes of Field concrete in Dharwad region by Dr S.B.Vanakudre, &Dr.S.S.Bhavikatti, 08(2) (2007) .
 Statistical analysis towards the identification of accurate probability distribution models for the compressive strength of concrete by S.Silvestri paper presented at 14 World Conference on Earthquake engineering, October 12- 17th, Beijing, China.
 A Statistical Approach to Optimizing Concrete Mixture Design by Shamshad and Saeid A . Alghamdi. Paper published in The Scientific world journal. Article ID 561539 (2014).
 Particle packing theories and their application in concrete mixture proportioning, A review By Kumar, S.V., Santhanam, M. A paper published in Indian concrete Journal, 77(9) (2003).
 Basic statistics of strength limit states Reinforced concrete members in Saudi Arabia.By Abdulrahim M. Arafat (Publisher not available)
 Concrete mixture optimization using statistical mixture design methods by Marcia J . Simon, Eric S. Lagergren, Kenneth A. Snyder Paper presented in the proceedings of the PCI/FHWA, International symposium on High-performance concrete, New Orleans, Louisiana, (1997) 20-22.