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Mojtaba Yari Malekabad

Mojtaba Yari Malekabad

Academic rank: Assistant Professor
ORCID:
Education: PhD.
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HIndex:
Faculty: Technical Engineering
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Research

Title
SELECTION OF MOST PROPER BLASTING PATTERN IN MINES USING LINEAR ASSIGNMENT METHOD: SUNGUN COPPER MINE
Type
JournalPaper
Keywords
Blasting Pattern, Multi Attribute Decision Making (MADM) Models, linear assignment method, Case Study, Sungun Copper Mine
Year
2015
Journal Archives of Mining Sciences
DOI
Researchers Mojtaba Yari Malekabad

Abstract

One of the most important operations in mining is blasting. Improper design of blasting pattern will cause technical and safety problems. Considering impact of results of blasting on next steps of mining, correct pattern selection needs a great cautiousness. In selecting of blasting pattern, technical, economical and safety aspects should be considered. Thus, most appropriate pattern selection can be defined as a Multi Attribute Decision Making (MADM) problem. Linear assignment method is one of the very applicable methods in decision making problems. In this paper, this method was used for the first time to evaluate blasting patterns in mine. In this ranking, safety and technical parameters have been considered to evaluate blasting patterns. Finally, blasting pattern with burden of 3.5 m, spacing of 4.5 m, stemming of 3.8 m and hole length of 12.1 m has been presented as the most suitable pattern obtained from linear assignment model for Sungun Copper Mine.