Statistical Characteristics of compressive strength of Normal & High strength concrete and concrete made with recycled aggregate

P. Ojha, P. Singh, B. Singh, A. Singh, A. Sagar, R. Yadav
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引用次数: 1

Abstract

The paper presents the statistical analysis on the compressive strength of concrete with strength ranging from 30 MPa to 130 MPa. To obtain these concrete strengths, concrete mixes with virgin aggregates were prepared with four different wate r to cementitious content (w/c) ratios i.e., 0.45, 0.36, 0.24, and 0.18. With w/c ratio of 0.45, a mix is also designed using recycled construction and demolition coarse aggregate to compare statistical characteristics with respect to concrete made using virgin aggregates. The presented statistical analysis includes measure of central tendency, dispersion of the data, distribution shape properties, and precision of the mean. A normal and a log-normal distribution has been established and validated for the experimental data set of all the mixes. A correlation has also been established for the compressive strength of 100mm cube and 150mm cube. Analysis shows an increase in dispersion of data with increase in the mean compressive strength of the mix. The mix with Construction and demolition waste aggregate shows a higher standard deviation than the mix with virgin aggregates at the same w/c ratio. The correlation curve for the compressive strength of 100 mm and 150 mm size cubes, shows a conversion factor of 1.04, suggesting an insignificant difference of the compressive strength values of 100 mm and 150 mm cubes for the mix studied.
普通、高强混凝土和再生骨料混凝土抗压强度统计特性
本文对强度为30 ~ 130 MPa的混凝土抗压强度进行了统计分析。为了获得这些混凝土强度,用四种不同的水胶比(w/c)配制了含原生骨料的混凝土混合物,即0.45、0.36、0.24和0.18。w/c比为0.45,还设计了一种使用再生建筑和拆除粗骨料的混合料,以比较使用原始骨料制成的混凝土的统计特性。提出的统计分析包括集中趋势的度量、数据的离散性、分布形状特性和平均值的精度。所有混合料的实验数据集建立了正态分布和对数正态分布,并进行了验证。在100mm立方体和150mm立方体的抗压强度之间也建立了相关性。分析表明,随着混合料平均抗压强度的增加,数据的分散性增加。在相同的w/c比下,掺建筑垃圾骨料的混合料比掺原生骨料的混合料具有更高的标准差。100 mm和150 mm立方体的抗压强度相关曲线的换算系数为1.04,表明所研究的混合料100 mm和150 mm立方体的抗压强度值差异不显著。
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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