Assessment of compressive strength in concrete using secondary treated wastewater, fly ash, and sodium nitrite via machine learning techniques

Q2 Engineering
K. N. Rajiv, Y. Ramalinga Reddy
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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.

Abstract Image

Abstract Image

通过机器学习技术评估使用二次处理废水、粉煤灰和亚硝酸钠的混凝土抗压强度
本研究探讨了来自三个污水处理厂的二次处理废水(STW)作为混凝土生产中饮用水的可行和可持续替代品的潜力。除了利用STW外,混凝土混合物还加入了补充材料:10%的粉煤灰(煤燃烧的副产品)和不同剂量(1%至3%)的亚硝酸钠(以其防腐性能而闻名)。双重目标是提高混凝土的环境可持续性,同时保持或增强其结构完整性。为了评估这些改进的影响,该研究进行了一系列标准化性能测试,包括使用坍落锥法评估可加工性,以及抗压强度、劈裂拉伸强度和弯曲强度的机械性能测试。结果表明,与传统自来水相比,掺入STW的混凝土的和易性降低了25%,这可能是由于废水化学成分的变化。尽管降低了,但机械强度的下降幅度相对较小,抗压强度仅下降2.91%,劈裂抗拉强度下降4.95%,抗弯强度下降1.75%。这些减少主要归因于粉煤灰和亚硝酸钠的夹杂,而不是水源本身。为了进一步分析性能,应用机器学习模型来预测抗压强度。其中Random Forest模型的准确率最高,R2值为0.87,均方误差(MSE)为0.86。研究结果表明,STW与粉煤灰和亚硝酸钠相结合,为可持续混凝土生产提供了一种有希望的替代方案,而不会显著影响性能。
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来源期刊
Asian Journal of Civil Engineering
Asian Journal of Civil Engineering Engineering-Civil and Structural Engineering
CiteScore
2.70
自引率
0.00%
发文量
121
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.
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