53rd U.S. Rock Mechanics/Geomechanics Symposium,
New York City, New York
2019. American Rock Mechanics Association
3 in the last 30 days
17 since 2007
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ABSTRACT: An evaluation of the blasting performance at Erdenet Mine was conducted. Rock fragment size distributions were measured and analyzed with the digital image processing method employing the SPLIT_Desktop system. Regression prediction models were developed based on the field measurements and blasting parameters. Comparisons were made among the Kuz-Ram model predictions, the digital image measurements and the regression prediction models.
The results indicated that there were noticeable discrepancies between the digital image measurements and those estimated by the Kuz-Ram model. The multivariate nonlinear regression model developed based on the rock uniaxial compressive strength and elastic modulus, the explosive energy input in the blasting, the bench height to burden ratio and the blast area per hole showed much closer agreement with the measurements at Erdenet Mine. The study revealed that it is desirable to develop site specific multivariate regression models for more accurate prediction in order to achieve better mine blasting production control.
Optimum fragment size distribution is known to be one of the important quality factors of rock blasting. Continued improvement of rock blasting operations is essential in mining production in order to achieve economic efficiency. Over the years, scientists and engineers have devoted much effort to the development of new models and methods for field measuring and analyses of fragment size distributions. A number of techniques have been successful for practical applications of fragment size measurements and analyses. Effective measurements and estimations of blasting fragment size have proved to play an influential role in mining productivity. The development of the image processing method started approximately three decades ago. Over the years, with the advancement in computer and imaging technology, the image processing method has been significantly improved. Due to its low cost, flexibility and convenience in field applications, the method has been widely used. The current developed photo analyses employed in the image processing software are based variously on greyscale and binary image analysis techniques including edge detection, thresholding, equalization, binary image morphology, region growing, and watershed segmentation (Ashitonsh, et al., 1993). Some of the popular programs include the IPACS system (Dahlhielm, 1996), the TUCIPS system (Havermann & Vogt, 1996), FRAGSCAN (Schleifer & Tessier, 1996), the WIPFRAG system (Maerz, 1996) and the SPLIT system (Kemeny, 1994).
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