Development of a new system for improving blastability by using the Fuzzy Delphi AHP method

Document Type : Research Paper

Authors

1 Department of Mining Engineering, Amirkabir University of Technology, Tehran, Iran.

2 Department of Mining Engineering, University of Zanjan, Zanjan, Iran.

Abstract

Blastability is one of the most important and effective parameters in open pit mining, which is closely related to rock mass, environmental conditions, and explosion systems. To investigate blastability, many classification systems have been proposed so far, each of which has expressed some of the parameters affecting the blasting according to environmental conditions and based on empirical judgments. Therefore, the factors affecting blastability can be identified and determined according to theories and environmental conditions. Due to the necessity and presentation of a classification system to investigate the blastability of the Sangan iron ore mines project, by studying and examining each of these factors, in this paper, this classification system was presented and introduced. For this purpose, according to the response received from a questionnaire sent to experts around the world and using the fuzzy Delphi Hierarchical Analysis (FDAHP) method, the weighting of each of the factors affecting the proposed classification system was performed and finally, a new classification system was introduced to optimize blastability classification.

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 [1]   J.-P. Latham and P. Lu, “Development of an assessment system for the blastability of rock masses,” Int. J. Rock Mech. Min. Sci., vol. 36, no. 1, pp. 41–55, 1999.
 [2]   J. P. Latham, J. Van Meulen, and S. Dupray, “Prediction of fragmentation and yield curves with reference to armourstone production,” Eng. Geol., vol. 87, no. 1–2, pp. 60–74, 2006, doi: 10.1016/j.enggeo.2006.05.005.
[3]    J. P. Latham, J. Van Meulen, and S. Dupray, “Prediction of in-situ block size distributions with reference to armourstone for breakwaters,” Eng. Geol., vol. 86, no. 1, pp. 18–36, 2006, doi: 10.1016/j.enggeo.2006.04.001.
[4]    Y. Azimi, M. Osanloo, M. Aakbarpour-Shirazi, and A. Aghajani Bazzazi, “Prediction of the blastability designation of rock masses using fuzzy sets,” Int. J. Rock Mech. Min. Sci., vol. 47, no. 7, pp. 1126–1140, 2010, doi: 10.1016/j.ijrmms.2010.06.016.
[5]    S. H. Hosseini, M. Ataei, and M. Osanloo, “A new classification system for evaluating rock penetrability,” Int. J. Rock Mech. Min. Sci., vol. 46, no. 8, pp. 1329–1340, 2009, doi: 10.1016/j.ijrmms.2009.07.002.
[6]    G. Report and M. Update, “Sangan Project Geology Report & Model Update,” no. April 2008.
[7]    H. Nikafshan Rad, Z. Jalali, and H. Jalalifar, “Prediction of rock mass rating system based on continuous functions using Chaos-ANFIS model,” Int. J. Rock Mech. Min. Sci., vol. 73, pp. 1–9, 2015, doi: 10.1016/j.ijrmms.2014.10.004.
[8]    Z. Jalali, “Development of slope mass rating system using K-means and fuzzy c-means clustering algorithms,” Int. J. Min. Sci. Technol., vol. 26, no. 6, pp. 959–966, 2016, doi: 10.1016/j.ijmst.2016.09.004.