Determination of the Probability Distribution of Concrete Mixing Components

Journal: Journal of Building Technology DOI: 10.32629/jbt.v5i2.1278

Mariana Suárez Pereira, Fiamma Dubraska Peña Fabiani

Lisandro Alvarado Central Western University, Venezuela.

Abstract

The purpose of this research is to describe the statistical behavior and determine the probability distributions that best fit each component of conventional concrete mixtures, which are water, cement, fine aggregate and coarse aggregate, designed by the Porrero and ACI methods for compressive strengths between 250 and 280 kg/cm² and nominal maximum size of 1.0 inch, settlements up to 6.0 inches, Portland cement type I or type CPCA1 and natural sand. For this purpose, it was necessary to create a database by consulting the theses prepared in the Civil Engineering Department of the Lisandro Alvarado Central Western University, and 228 theses were reviewed, of which 66 complied with the defined scope. The descriptive statistical analysis reported low and intermediate dispersion, and it was concluded that the arithmetic mean obtained represents the data set by variable and the distributions obtained for water, cement, fine aggregate and coarse aggregate were Gen. Gamma (4P), Gen. Extreme Value, Weibull (3P) and Frechet respectively for the ACI method and for Porrero Hypersecant, Log-Pearson 3, Johnson SB and Chi-Square (2P) as appropriate.

Funding

concrete mixes; concrete components; ACI manual; Porrero manual

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References

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