Influence of the size of the coarse and fine aggregates on the compressive strength of concrete

Q2 Engineering
Pritam Dey, Sneha Singh, Ramagopal Uppaluri
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引用次数: 0

Abstract

In this study, the influence of aggregate sizes on the compressive strength (CS) of concrete system has been assessed. Accordingly, the fine aggregates (FA) and coarse aggregates (CA) with fixed gradation sizes were considered and the prepared conventional concrete samples were assessed for their 7th and 28th day compressive strength. Thereby, three different types of FA were selected for FA particle size gradation. Striking variations in the CS values were noted for the concrete samples with a particular combination of FA and CA sizes, and for a fixed choice of the water-to-cement ratio. Further investigations for the CS modelling are conducted with the response surface methodology (RSM). Considering overall specific gravity (FA Sp.Gr.) as a parameter but not a factor, the experimental design considered the FA size (in µm) and CA size (in mm) as independent variables. The best-fit RSM model analysis inferred the quadratic model with good relevance (p < 0.001) for the prediction CS in the defined factor space and for three alternate FA types. The Pareto plots revealed that while the FA size was the influential factor for both responses for the case of the FA Sp.Gr. value of 2.59, while CA size was the highest contributor for the other two FA Sp.Gr. types. Thereby, the role of the type of FA and the aggregate sizes were assessed to be very important to achieve the high CS. The adopted methodology is generic for selecting the best-fit control sample for further research into advanced concrete composite materials.

粗、细骨料粒径对混凝土抗压强度的影响
本文研究了骨料粒径对混凝土体系抗压强度的影响。因此,考虑固定级配尺寸的细集料(FA)和粗集料(CA),并对制备的常规混凝土样品进行第7天和第28天抗压强度评估。因此,选择了三种不同类型的FA进行FA粒度级配。对于具有特定FA和CA尺寸组合的混凝土样品,以及固定选择的水灰比,CS值的显著变化被注意到。利用响应面法(RSM)对CS模型进行了进一步研究。考虑总比重(FA Sp.Gr.)作为参数而非因子,实验设计将FA尺寸(µm)和CA尺寸(mm)作为自变量。最佳拟合RSM模型分析推断,在定义的因子空间和三种替代FA类型中,预测CS具有良好相关性的二次模型(p < 0.001)。帕累托图显示,在FA Sp.Gr的情况下,FA的大小是两种反应的影响因素。值为2.59,而CA大小对其他两种FA Sp.Gr的贡献最大。类型。因此,FA类型和骨料粒度的作用被评估为实现高CS非常重要。采用的方法是通用的,为进一步研究先进的混凝土复合材料选择最适合的控制样本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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