Determination the probability distribution of the concrete mixing components

Determination the probability distribution of the concrete mixing components

The purpose of this research is to describe the statistical behavior and determine the probability distributions that best fit each of the components of conventional concrete mixtures, which are water, cement, fine aggregate and coarse aggregate, designed by the Porrero and ACI methods for compressi...

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Principais autores: Suárez Pereira, Mariana, Peña Fabiani, Fiamma Dubraska
Formato: Online
Idioma:spa
Publicado em: Universidad Centroccidental Lisandro Alvarado - Decanato de Ingeniería Civil 2021
Acesso em linha:https://revistas.uclave.org/index.php/gt/article/view/3135
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spelling oai:ojs2.revistas.uclave.org:article-31352021-04-28T21:56:00Z Determination the probability distribution of the concrete mixing components Determinación de la distribución de probabilidades de los componentes de mezclas de concreto Suárez Pereira, Mariana Peña Fabiani, Fiamma Dubraska mezclas de concreto componentes del concreto manual ACI¸ manual de Porrero concrete mixes concrete components ACI manual Porrero manual The purpose of this research is to describe the statistical behavior and determine the probability distributions that best fit each of the components 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 with 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 build a database under the consultation of degree theses elaborated in the Dean of Civil Engineering of the Universidad Centroccidental Lisandro Alvarado, 228 degree works were reviewed of which 66 complied with the established scope. The descriptive statistical analysis reported low and intermediate dispersions, 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 that of Porrero Hypersecant, Log-Pearson 3, Johnson SB and Chi-Squared (2P) as appropriate. La presente investigación tiene como finalidad describir el comportamiento estadístico y determinar las distribuciones de probabilidades que mejor se ajustan a cada uno de los componentes de mezclas de concreto convencional, los cuales son agua, cemento, agregado fino y agregado grueso, diseñados por los métodos de Porrero y del ACI para resistencias a la compresión entre 250 y 280 Kg/cm2 con tamaño máximo nominal de 1,0 pulgada, asentamientos hasta 6,0 pulgadas, cemento Portland tipo I o tipo CPCA1 y arena natural. Para tal fin, fue necesaria la construcción de una base de datos bajo la consulta de tesis de grado elaboradas en el Decanato de Ingeniería Civil de la Universidad Centroccidental Lisandro Alvarado, se revisaron 228 trabajos de grado de las cuales 66 cumplieron con el alcance establecido. El análisis estadístico descriptivo reportó dispersiones bajas e intermedias, se concluyó que la media aritmética obtenida si representa el conjunto de datos por variable y las distribuciones obtenidas para el agua, cemento, agregado fino y agregado grueso fueron Gen. Gamma (4P), Gen. Extreme Value, Weibull (3P) y Frechet respectivamente para el método del ACI y para el de Porrero Hypersecant, Log-Pearson 3, Johnson SB y Chi-Squared (2P) según corresponde. Universidad Centroccidental Lisandro Alvarado - Decanato de Ingeniería Civil 2021-02-27 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artículo científico de investigación original application/pdf https://revistas.uclave.org/index.php/gt/article/view/3135 10.13140/RG.2.2.19769.90726 Gaceta Técnica; Vol. 22 No. 1 (2021): Vol. 22 Núm. 1 (2021): January-June; 3-30 Gaceta Técnica; Vol. 22 Núm. 1 (2021): Vol. 22 Núm. 1 (2021): Enero-Junio; 3-30 Gaceta Técnica; v. 22 n. 1 (2021): Vol. 22 Núm. 1 (2021): January-June; 3-30 2477-9539 spa https://revistas.uclave.org/index.php/gt/article/view/3135/1948 https://revistas.uclave.org/index.php/gt/article/view/3135/1949 https://revistas.uclave.org/index.php/gt/article/view/3135/1950 Copyright (c) 2021 Mariana Suárez Pereira, Fiamma Dubraska Peña Fabiani https://creativecommons.org/licenses/by-nc-sa/4.0
institution Universidad Centroccidental Lisandro Alvarado
collection OJS
language spa
format Online
author Suárez Pereira, Mariana
Peña Fabiani, Fiamma Dubraska
spellingShingle Suárez Pereira, Mariana
Peña Fabiani, Fiamma Dubraska
Determination the probability distribution of the concrete mixing components
author_facet Suárez Pereira, Mariana
Peña Fabiani, Fiamma Dubraska
author_sort Suárez Pereira, Mariana
title Determination the probability distribution of the concrete mixing components
title_short Determination the probability distribution of the concrete mixing components
title_full Determination the probability distribution of the concrete mixing components
title_fullStr Determination the probability distribution of the concrete mixing components
title_full_unstemmed Determination the probability distribution of the concrete mixing components
title_sort determination the probability distribution of the concrete mixing components
description The purpose of this research is to describe the statistical behavior and determine the probability distributions that best fit each of the components 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 with 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 build a database under the consultation of degree theses elaborated in the Dean of Civil Engineering of the Universidad Centroccidental Lisandro Alvarado, 228 degree works were reviewed of which 66 complied with the established scope. The descriptive statistical analysis reported low and intermediate dispersions, 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 that of Porrero Hypersecant, Log-Pearson 3, Johnson SB and Chi-Squared (2P) as appropriate.
publisher Universidad Centroccidental Lisandro Alvarado - Decanato de Ingeniería Civil
publishDate 2021
url https://revistas.uclave.org/index.php/gt/article/view/3135
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AT penafabianifiammadubraska determinaciondeladistribuciondeprobabilidadesdeloscomponentesdemezclasdeconcreto
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