Prediction of the main caving span in longwall mining using fuzzy MCDM technique and statistical method

Mohammadi, S. and Ataei, M. and Khaloo Kakaie, R. and Mirzaghorbanali, A. (2018) Prediction of the main caving span in longwall mining using fuzzy MCDM technique and statistical method. Journal of Mining and Environment. pp. 1-11. ISSN 2251-8592

Abstract

Immediate roof caving in longwall mining is a complex dynamic process, and it is the core of numerous issues and challenges in this method. Hence, a reliable prediction of the strata behavior and its caving potential is imperative in the planning stage of a longwall project. The span of the main caving is the quantitative criterion that represents cavability. In this paper, two approaches are proposed in order to predict the span of the main caving in longwall projects. Cavability index (CI) is introduced based on the hybrid multi-criteria decision-making technique, combining the fuzzy analytical network processes (ANP) and the fuzzy decision-making trial and evaluation laboratory (DEAMTEL). Subsequently, the relationship between the new index and the caving span is determined. In addition, statistical relationships are developed, incorporating the multivariate regression method. The real data for nine panels is used to develop the new models. Accordingly, two models based on CI including the Gaussian and cubic models as well as the linear and non-linear regression models are proposed. The performance of the proposed models is evaluated in various actual cases. The results obtained indicate that the CI-Gaussian model possesses a higher performance in the prediction of the main caving span in actual cases when compared to the other models. These results confirm that it is not possible to consider all the effective parameters in an empirical relationship due to a higher error in the prediction.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: First online 20/03/2018. Permanent restricted access to ArticleFirst version in accordance with the copyright policy of the publisher.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying
Date Deposited: 12 Jun 2018 05:26
Last Modified: 12 Jun 2018 05:26
Uncontrolled Keywords: main caving span, cavability index, longwall, multi-criteria decision-making, regression analysis
Fields of Research : 09 Engineering > 0914 Resources Engineering and Extractive Metallurgy > 091402 Geomechanics and Resources Geotechnical Engineering
09 Engineering > 0914 Resources Engineering and Extractive Metallurgy > 091405 Mining Engineering
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: doi:10.22044/jme.2018.6715.1492
URI: http://eprints.usq.edu.au/id/eprint/34214

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