Rock Mass Blastability Classification Using Fuzzy Pattern Recognition and the Combination Weight Method

Shuangshuang Xiao, Kemin Li, Xiaohua Ding and Tong Liu

Mathematical Problems in Engineering, 2015, vol. 2015, 1-11

Abstract:

Rock mass blastability classification provides a theoretical basis for rock mass blasting design, which is used to select blasting explosives, to estimate the unit explosive consumption, and to determine blasting design parameters. The primary factors that affect rock mass blastability were analyzed by selecting five indexes for rock mass blastability classification, that is, the rock Protodyakonov coefficient, rock tensile strength, rock density, rock wave impedance, and integrity coefficient of rock mass, and by identifying standards for the rock mass blastability classification and a method for testing the blasting classification indexes. The index weights were calculated using the combination weight method, which is based on game theory. A model for rock mass blastability classification was developed in combination with a fuzzy pattern recognition method. This classification method was applied to a Heidaigou open-pit coal mine, where mudstone, fine sandstone, medium sandstone, and coarse sandstone were determined to have a blastability degree of II, which corresponds to a blastability characterization of “easy,” and the unit explosive consumption of mudstone, fine sandstone, medium sandstone, and coarse sandstone was determined to be 0.44, 0.42, 0.40, and 0.36 kg/m 3 , respectively. These results were used to develop a loose blasting design that was effective for loose blasting.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:724619

DOI: 10.1155/2015/724619

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