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Assessments of the abrasion resistance of carbonate aggregates using petrological characteristics

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Abstract

Crushed limestone or carbonate aggregate is the typical rock material for most construction projects. The aggregates must have good quality for a given usage. One of the most essential qualities of the aggregate is abrasion resistance. Commonly, the Los Angeles abrasion (LAA) test is used to measure the toughness and abrasion resistance of aggregates for many different civil projects like cement concrete, base road aggregates, and railroad ballast. The main objective of this research is to evaluate the abrasion resistance of aggregate from its petrological contents as a simple and low-cost method and also investigate the relationship between them. In this regard, 73 samples were investigated. The petrological studies were conducted on the rock thin sections. The LAA tests as abrasion resistance of aggregate were also determined. The correlations between petrological contents and LAA were investigated. For predicting LAA, different methods, bivariate, multiple regression, and artificial neural network (ANN) techniques were used. The results suggested that the micritic limestones with low porosity have a higher abrasion resistance than the sparitic limestones. Also, significant correlations were observed between clay (R = 0.67), opaque (R = 0.38), and porosity (0.30) with LAA. The results also indicated that the petrological contents can significantly affect abrasion resistance and are good tools to estimate the LAA value in carbonate aggregates. The best method for predicting the LAA is MLP with 1 hidden layer and 7 units (R = 0.96).

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Acknowledgements

The authors are grateful to University of Isfahan and Khuzestan Water and Power Authority for supporting this research.

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Correspondence to Akbar Ghazifard.

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The authors declare no competing interests.

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Responsible Editor: Zeynal Abiddin Erguler

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Hatef, M.R., Ghazifard, A. & Kamani, M. Assessments of the abrasion resistance of carbonate aggregates using petrological characteristics. Arab J Geosci 16, 81 (2023). https://doi.org/10.1007/s12517-022-11157-4

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  • DOI: https://doi.org/10.1007/s12517-022-11157-4

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