Fragmentation risk assessment in open-pit blasting using interaction matrix- vulnerability index method

Faramarzi, F., Mansouri, H., Ebrahimi Farsangi, M. A. and Monjezi, M. (2013). Fragmentation risk assessment in open-pit blasting using interaction matrix- vulnerability index method. In José A. Sanchidrián and Ashok Kumar Singh (Ed.), Measurement and analysis of blast fragmentation (pp. 115-121) Leiden, The Netherlands: CRC Press/Balkema. doi:10.1201/b13761-17


Author Faramarzi, F.
Mansouri, H.
Ebrahimi Farsangi, M. A.
Monjezi, M.
Title of chapter Fragmentation risk assessment in open-pit blasting using interaction matrix- vulnerability index method
Title of book Measurement and analysis of blast fragmentation
Place of Publication Leiden, The Netherlands
Publisher CRC Press/Balkema
Publication Year 2013
Sub-type Research book chapter (original research)
DOI 10.1201/b13761-17
Open Access Status Not Open Access
ISBN 9780415621403
9780203387535
Editor José A. Sanchidrián
Ashok Kumar Singh
Chapter number 12
Start page 115
End page 121
Total pages 7
Total chapters 15
Language eng
Formatted Abstract/Summary
The purpose of blasting in open-pit mines is achieving a desired fragment size distribution, considering safety and environmental aspects. Regarding economic aspects, fragmentation plays a critical role in the total costs of mining operation. Poor fragmentation, oversize and undersize, means economic loss and as a consequence, putting the whole mining operation at risk. Risk assessment prior to blasting operation can be a helpful tool for total cost reduction. This paper presents a new model to analyze the risk due to poor fragmentation in rock blasting, based on the concept of Rock Engineering Systems (RES). The principles of RES were used to define an index, the so called vulnerability index (VI), expressing the risk condition due to poor fragmentation. In defining the new model, two main steps must be taken into account. The first step is to identify the parameters that are responsible for the occurrence of risk in the case of fragmentation (poor fragmentation), analyze their behavior and evaluate the significance (weight) that each one has in the overall risk conditions (poor fragmentation). In this step, the RES principles can be used to assess the weighting of the parameters involved. In the second step, the vulnerability index can be determined, which shows the level of risk expected for each blast. The data for 30 blasts, carried out in Sungun copper mine, western Iran, were used to validate the model. The results obtained indicating the capability of the model proposed.
Q-Index Code B1
Q-Index Status Provisional Code
Institutional Status Non-UQ
Additional Notes http://www.crcnetbase.com/doi/abs/10.1201/b13761-17

Document type: Book Chapter
Collection: Sustainable Minerals Institute Publications
 
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Created: Mon, 26 Oct 2015, 15:01:23 EST by Alice Militon on behalf of Sustainable Minerals Institute