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Regression Analysis of Concrete Produced from Selected Wastewater Types

(2024) Regression Analysis of Concrete Produced from Selected Wastewater Types. Journal of Civil Engineering and Urbanism. pp. 21-29. ISSN 2252-0430

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Official URL: http://dx.doi.org/10.54203/jceu.2024.3

Abstract

This study investigates the effects of using various wastewater types on the strength characteristics of concrete through regression analysis. Given the construction industry's substantial freshwater consumption and the increasing scarcity of potable water, the research explores the viability of substituting wastewater in concrete production. Materials tested include cement, aggregates, and wastewater from kitchen, laundry, fish-pond, and paint industry, alongside potable water for control. Comprehensive tests on these materials, including physical, chemical, and bacteriological assessments, preceded the concrete mixing and casting process. The study involved curing concrete specimens and performing compressive and tensile strength tests at intervals of 7, 14, 21, and 28 days. Results indicated that while concrete made with potable water exhibited superior performance, wastewaters significantly influenced the mechanical properties of concrete, with potable water achieving the highest compressive and tensile strengths. Regression analysis confirmed a substantial impact of curing duration on strength development. The research concludes that water quality is crucial for concrete performance and suggests potable water for optimal strength, though wastewaters present a potential alternative, highlighting the need for further evaluation and adherence to quality standards.

Item Type: Article
Keywords: Wastewater, Concrete, Compressive and tensile strength, Regression analysis.
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Journal of Civil Engineering and Urbanism (JCEU)
Page Range: pp. 21-29
Journal or Publication Title: Journal of Civil Engineering and Urbanism
Journal Index: Not Index
Volume: 14
Number: 1
Publisher: Scienceline Publication
Identification Number: https://doi.org/10.54203/jceu.2024.3
ISSN: 2252-0430
Depositing User: Dr. Heydar Dehghanpour
URI: http://eprints.science-line.com/id/eprint/1303

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