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Cites:

Information Journal Paper

Title

Determination of Rock Fragmentation Based on Longitude Wave Velocity and Fractal Dimension

Pages

  105-117

Abstract

 In this paper, to predict the size distribution of Rock Fragmentation (D80), the blasting data and rock mass characteristics of Chogart, Chadormalu and Sechahum mines were used. Rock Fragmentation is affected by various parameters such as rock mass properties, in-situ blocks shape, blasting geometry. To quantity the shape of in-situ blocks, the fractal geometry is suitable method. To predict the Rock Fragmentation (D80) based on independent variables (rock mass characteristics, in-situ block shape, and blasting geometry); linear/nonlinear regression and Neural network were used. The results shown that the nonlinear regression and Neural network were ability to predict the size distribution of Rock Fragmentation.

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  • Cite

    APA: Copy

    Baghestani, Morteza, MONJEZI, MASOUD, YARAHMADI BAFGHI, ALIREZA, & AFZAL, PEYMAN. (2020). Determination of Rock Fragmentation Based on Longitude Wave Velocity and Fractal Dimension. JOURNAL OF ANALYTICAL AND NUMERICAL METHODS IN MINING ENGINEERING, 10(24 ), 105-117. SID. https://sid.ir/paper/379357/en

    Vancouver: Copy

    Baghestani Morteza, MONJEZI MASOUD, YARAHMADI BAFGHI ALIREZA, AFZAL PEYMAN. Determination of Rock Fragmentation Based on Longitude Wave Velocity and Fractal Dimension. JOURNAL OF ANALYTICAL AND NUMERICAL METHODS IN MINING ENGINEERING[Internet]. 2020;10(24 ):105-117. Available from: https://sid.ir/paper/379357/en

    IEEE: Copy

    Morteza Baghestani, MASOUD MONJEZI, ALIREZA YARAHMADI BAFGHI, and PEYMAN AFZAL, “Determination of Rock Fragmentation Based on Longitude Wave Velocity and Fractal Dimension,” JOURNAL OF ANALYTICAL AND NUMERICAL METHODS IN MINING ENGINEERING, vol. 10, no. 24 , pp. 105–117, 2020, [Online]. Available: https://sid.ir/paper/379357/en

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