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Rock Mass Blastability Classification Using Fuzzy Pattern Recognition and the Combination Weight Method
Joint Authors
Xiao, Shuangshuang
Li, Kemin
Ding, Xiaohua
Liu, Tong
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-07-13
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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/m3, respectively.
These results were used to develop a loose blasting design that was effective for loose blasting.
American Psychological Association (APA)
Xiao, Shuangshuang& Li, Kemin& Ding, Xiaohua& Liu, Tong. 2015. Rock Mass Blastability Classification Using Fuzzy Pattern Recognition and the Combination Weight Method. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1074586
Modern Language Association (MLA)
Xiao, Shuangshuang…[et al.]. Rock Mass Blastability Classification Using Fuzzy Pattern Recognition and the Combination Weight Method. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1074586
American Medical Association (AMA)
Xiao, Shuangshuang& Li, Kemin& Ding, Xiaohua& Liu, Tong. Rock Mass Blastability Classification Using Fuzzy Pattern Recognition and the Combination Weight Method. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1074586
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074586