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An investigation of the general relationships between abrasion resistance of aggregates and rock aggregate properties

机译:聚集体和岩骨料耐磨性耐耐磨性的一般关系研究

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Resistance to degradation is one of the most important aggregate properties for engineering projects involving the use of aggregates. The Los Angeles abrasion loss (LAAL) test is among the common aggregate degradation tests that provide information on the quality of abrasion resistance of aggregates. In this study, the possibility of predicting the LAAL from the common aggregate tests including aggregate crushing value (ACV), aggregate impact value (AIV), density (D), water absorption (WA), porosity (P), uniaxial compressive strength (UCS), and point load index (PLI) was investigated. For this purpose, more than 200 rock aggregate samples, which included the most common types, were used. Statistical analysis was performed followed by developing simple linear and the best nonlinear and multiple regression analysis between LAAL and other common aggregate tests. The validity of the various regression equations was evaluated by multiple R (R, R-2, and Adj. R-2), analysis of variance (ANOVA), and standard error of the estimate (SEE). Results of the simple regression analyses indicate that ACV with R = 0.887, PLI with R = 0.687, and WA with R = 0.607 have the highest correlation with LAAL. Also, results of LAAL, ACV, and AIV could be converted to each other in different rock aggregate samples. The results of multiple and backward regression analyses showed that LAAL could be estimated using a few important variables such as ACV and P or performing simple physical tests including WA, D, and P (R = 0.905 and R = 0.850, respectively). The results of this research could be used for selecting proper rock aggregates in terms of their abrasion resistance, estimating their LAAL range at the preliminary steps of the project, and also for providing a better understanding of the relationships between LAAL and other aggregate properties.
机译:抗降解的抵抗是涉及使用聚集体的工程项目最重要的聚合性质之一。洛杉矶磨损损失(LAAL)测试是常见的总体降解试验,提供了关于聚集体的耐磨性质量的信息。在该研究中,从常见的聚集体测试中预测LAAL的可能性,包括骨料破碎值(ACV),骨料冲击值(AIV),密度(D),吸水性(​​WA),孔隙度(P),单轴抗压强度(研究了UCS)和点负荷指数(PLI)。为此目的,使用了超过200个岩石骨料样本,其中包括最常见的类型。进行统计分析,然后进行简单的线性和LAAL和其他常见聚集体测试的最佳非线性和多元回归分析。各种回归方程的有效性由多个R(R,R-2和Adj.R-2)评估,方差分析(ANOVA),以及估计的标准误差(参见)。简单回归分析的结果表明,具有r = 0.887的ACV,具有r = 0.687的PLI,r = 0.607与LAAL的相关性最高。此外,Laal,ACV和AIV的结果可以在不同的岩石骨料样本中彼此转化。多重和后退回归分析的结果显示,可以使用诸如ACV和P等一些重要变量来估计LAAL,或者在包括WA,D和P分别执行简单的物理测试(r = 0.905和r = 0.850)。该研究的结果可用于在其耐磨性方面选择适当的岩胚,估计其LAAL系列在项目的初步步骤中,还可以更好地理解LAAL和其他骨料属性之间的关系。

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