2020
DOI: 10.3390/app10103572
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The Influence and Application of Slag, Fly Ash, and Limestone Flour on Compressive Strength of Concrete Based on the Concrete Compressive Strength Development over Time (CCSDOT) Model

Abstract: Concrete and cement have been widely used in past decades as a result of urbanization. More and more supplementary cementitious materials are adopted in concrete because its production complements environmental conservation. The influence of slag, fly ash, limestone, etc., on compressive strength of concrete is of interest to engineers worldwide. Many previous studies were specific to certain engineering or certain experiments that could not reveal the nature of the influence of the three supplementary cementi… Show more

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Cited by 6 publications
(4 citation statements)
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“…Figure 3 shows the compressive strength of concrete with different types and dosages of mineral admixtures. As depicted in Figure 3, the compressive strength of concrete decreased with the increasing dosages of fly ash, due to the fact that the existing defects in fly ash thus decreasing the compressive strength of concrete [37,38]. Moreover, when GGBS was added to the concrete, the compressive strength increased.…”
Section: The Compressive Strength and Chloride Ion Permeabilitymentioning
confidence: 95%
“…Figure 3 shows the compressive strength of concrete with different types and dosages of mineral admixtures. As depicted in Figure 3, the compressive strength of concrete decreased with the increasing dosages of fly ash, due to the fact that the existing defects in fly ash thus decreasing the compressive strength of concrete [37,38]. Moreover, when GGBS was added to the concrete, the compressive strength increased.…”
Section: The Compressive Strength and Chloride Ion Permeabilitymentioning
confidence: 95%
“…Machine learning methods are also widely used in the field of concrete strength prediction. Zheng et al [19] developed a stable concrete compressive strength development over time (CCSDOT) model by combining conventional methods with artificial intelligence. Chithra et al [20] used multiple regression analysis and an artificial neural network to predict the compressive strength of concrete containing silica and copper slag and reported that the artificial neural network model had higher accuracy and relevance.…”
Section: Introductionmentioning
confidence: 99%
“…Only in China [7,8], about 10 % of the received SS is used in road construction. This material is used as a material for splitting crushed stone cushions under road clothes.…”
Section: Introductionmentioning
confidence: 99%
“…Calcareous decomposition occurs as a result of the reactions of interaction of CaO with water and subsequent carbonization due to interaction with CO2. [3,8,9].…”
Section: Introductionmentioning
confidence: 99%