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Developing lightweight concrete bricks by replacing fine aggregate with vermiculite: a regression analysis prediction approach

Developing lightweight concrete bricks by replacing fine aggregate with vermiculite: a regression... Concrete production requires a wealth of resources, that includes cement, aggregate, and water. Therefore, in terms of conserving the earth’s natural ecosystems and resources, researchers need to find alternative sustainable and green methods for the production of concrete. This research work primarily focuses on the use of potentially harmful substances as alternative aggregates in the manufacture of lightweight concrete blocks. In this study, the emphasized concrete block mixes are cement, fine aggregate, and vermiculite. Three trail mixes are investigated by the replacement ratio of 90:10, 80:20, 70:30, 60:40, 50:50, and 40:60 for fine aggregate in bricks. Statistical techniques are used to compare all the obtained experimental results. First, regression analysis is used to determine the precise relationship between the dependent and independent variables of the study. The parameters investigated were the compressive strength and density of concrete brick. The regression model captured the data's variability as evidenced by the suitable R2 threshold (R2 > 0.95). Then, using regression, contour plots and Main plots, and Heatmap predicted every property of concrete brick. Concluding the study, it is determined that the models generated being the most effective results comparing the existing researches. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Asian Journal of Civil Engineering Springer Journals

Developing lightweight concrete bricks by replacing fine aggregate with vermiculite: a regression analysis prediction approach

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References (28)

Publisher
Springer Journals
Copyright
Copyright © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
ISSN
1563-0854
eISSN
2522-011X
DOI
10.1007/s42107-023-00586-5
Publisher site
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Abstract

Concrete production requires a wealth of resources, that includes cement, aggregate, and water. Therefore, in terms of conserving the earth’s natural ecosystems and resources, researchers need to find alternative sustainable and green methods for the production of concrete. This research work primarily focuses on the use of potentially harmful substances as alternative aggregates in the manufacture of lightweight concrete blocks. In this study, the emphasized concrete block mixes are cement, fine aggregate, and vermiculite. Three trail mixes are investigated by the replacement ratio of 90:10, 80:20, 70:30, 60:40, 50:50, and 40:60 for fine aggregate in bricks. Statistical techniques are used to compare all the obtained experimental results. First, regression analysis is used to determine the precise relationship between the dependent and independent variables of the study. The parameters investigated were the compressive strength and density of concrete brick. The regression model captured the data's variability as evidenced by the suitable R2 threshold (R2 > 0.95). Then, using regression, contour plots and Main plots, and Heatmap predicted every property of concrete brick. Concluding the study, it is determined that the models generated being the most effective results comparing the existing researches.

Journal

Asian Journal of Civil Engineering – Springer Journals

Published: Sep 1, 2023

Keywords: Vermiculate; Polynomial regression; Contour plots; Heatmap

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