{"title":"Assessment of compressive strength in concrete using secondary treated wastewater, fly ash, and sodium nitrite via machine learning techniques","authors":"K. N. Rajiv, Y. Ramalinga Reddy","doi":"10.1007/s42107-025-01429-1","DOIUrl":null,"url":null,"abstract":"<div><p>This study explores the potential of secondary treated wastewater (STW) from three wastewater treatment plants as a viable and sustainable alternative to potable tap water in the production of concrete. In addition to utilizing STW, the concrete mixtures were enhanced with supplementary materials: 10% fly ash, a by-product of coal combustion, and varying dosages (1% to 3%) of sodium nitrite, known for its corrosion-inhibiting properties. The dual aim was to improve the environmental sustainability of concrete while maintaining or enhancing its structural integrity. To evaluate the impact of these modifications, the study conducted a series of standardized performance tests, including assessments of workability using the slump cone method, as well as mechanical property tests for compressive strength, split tensile strength, and flexural strength. The results indicated a 25% reduction in workability for concrete mixed with STW compared to traditional tap water, likely due to variations in the chemical composition of the wastewater. Despite this reduction, the decrease in mechanical strength was relatively minor—compressive strength dropped by only 2.91%, split tensile strength by 4.95%, and flexural strength by 1.75%. These decreases are primarily attributed to the inclusion of fly ash and sodium nitrite rather than the water source itself. To further analyze performance, machine learning models were applied to predict compressive strength. Among them, the Random Forest model demonstrated the highest accuracy, achieving an R<sup>2</sup> value of 0.87 and a mean squared error (MSE) of 0.86. The findings suggest that STW, in combination with fly ash and sodium nitrite, offers a promising alternative for sustainable concrete production without significantly compromising performance.</p></div>","PeriodicalId":8513,"journal":{"name":"Asian Journal of Civil Engineering","volume":"26 10","pages":"4351 - 4365"},"PeriodicalIF":0.0000,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Civil Engineering","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s42107-025-01429-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
This study explores the potential of secondary treated wastewater (STW) from three wastewater treatment plants as a viable and sustainable alternative to potable tap water in the production of concrete. In addition to utilizing STW, the concrete mixtures were enhanced with supplementary materials: 10% fly ash, a by-product of coal combustion, and varying dosages (1% to 3%) of sodium nitrite, known for its corrosion-inhibiting properties. The dual aim was to improve the environmental sustainability of concrete while maintaining or enhancing its structural integrity. To evaluate the impact of these modifications, the study conducted a series of standardized performance tests, including assessments of workability using the slump cone method, as well as mechanical property tests for compressive strength, split tensile strength, and flexural strength. The results indicated a 25% reduction in workability for concrete mixed with STW compared to traditional tap water, likely due to variations in the chemical composition of the wastewater. Despite this reduction, the decrease in mechanical strength was relatively minor—compressive strength dropped by only 2.91%, split tensile strength by 4.95%, and flexural strength by 1.75%. These decreases are primarily attributed to the inclusion of fly ash and sodium nitrite rather than the water source itself. To further analyze performance, machine learning models were applied to predict compressive strength. Among them, the Random Forest model demonstrated the highest accuracy, achieving an R2 value of 0.87 and a mean squared error (MSE) of 0.86. The findings suggest that STW, in combination with fly ash and sodium nitrite, offers a promising alternative for sustainable concrete production without significantly compromising performance.
期刊介绍:
The Asian Journal of Civil Engineering (Building and Housing) welcomes articles and research contributions on topics such as:- Structural analysis and design - Earthquake and structural engineering - New building materials and concrete technology - Sustainable building and energy conservation - Housing and planning - Construction management - Optimal design of structuresPlease note that the journal will not accept papers in the area of hydraulic or geotechnical engineering, traffic/transportation or road making engineering, and on materials relevant to non-structural buildings, e.g. materials for road making and asphalt. Although the journal will publish authoritative papers on theoretical and experimental research works and advanced applications, it may also feature, when appropriate: a) tutorial survey type papers reviewing some fields of civil engineering; b) short communications and research notes; c) book reviews and conference announcements.