Abstract
It is well-known that rocks have heterogeneous properties, and these properties played a curial role in blasting operations to obtain fragmented rocks with different particle size distributions. Therefore, the estimation of the particle size distribution of the rock is one of the most important parameters in terms of the economic operation of open-pit mines as it is directly related to mining operations such as loading, transporting, crushing, and grinding. Many parameters divided into controllable and noncontrollable affect the efficiency of blasting operations. This study aimed to suggest new empirical models based on nondestructive test methods including P wave velocity and Schmidt hardness to predict the mean particle size of the rock after blasting. WipFrag software was used to evaluate the pictures taken after blasting and to determine the average particle size distribution of the rock mass. Experimental results obtained from simple and multiple regression models show that there is a good agreement observed between the mean particle size of rock mass and its Schmidt hammer hardness and P wave velocity properties.
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Acknowledgments
The authors are grateful to the Research Fund of Cukurova University for their financial support and Adana Cement Inc. for research support.
Funding
This work was supported by the Research Fund of Cukurova University (project no: FBA-2019-11637).
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Responsible Editor: Murat Karakus
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Kahraman, E., Kilic, A.M. Evaluation of empirical approaches in estimating mean particle size after blasting by using nondestructive methods. Arab J Geosci 13, 613 (2020). https://doi.org/10.1007/s12517-020-05636-9
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DOI: https://doi.org/10.1007/s12517-020-05636-9