A comparison of prediction and classification models of unplanned stope dilution in open stope design

B. Bazarbay, A. C. Adoko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Unplanned stope dilution affects the cost of open stoping mining operations. The stability graph and equivalent linear overbreak slough graph have been in use for designing the stope dimensions that minimize unplanned dilution. However, despite extensive effort made by researchers, the graph methods still suffer from limitations. One of them is the poor generalization ability of these graphs. Hence, in this paper, Artificial Neural Network (ANN) based graphs are proposed as alternative tools capable of relating accurately the dilution to the stope dimensions and the rock mass quality. Two models were developed: a predictive (fitting) model and a classification model. The results indicate that ANN, as a prediction model, is not appropriate for dilution because of a low prediction capability observed (R2 = 0.57). On the other hand, the classifier model showed good classification accuracy (84% on the average). In addition, the output of the classifier was used to determine the probability of unplanned dilution occurrence in the form of maps, which are useful in stope design. Therefore, the use of ANN-based classifier for open stope design is suggested while predictive models (i.e. fitting models) should be discouraged.

Original languageEnglish
Title of host publication55th U.S. Rock Mechanics / Geomechanics Symposium 2021
PublisherAmerican Rock Mechanics Association (ARMA)
ISBN (Electronic)9781713839125
Publication statusPublished - 2021
Event55th U.S. Rock Mechanics / Geomechanics Symposium 2021 - Houston, Virtual, United States
Duration: Jun 18 2021Jun 25 2021

Publication series

Name55th U.S. Rock Mechanics / Geomechanics Symposium 2021
Volume2

Conference

Conference55th U.S. Rock Mechanics / Geomechanics Symposium 2021
Country/TerritoryUnited States
CityHouston, Virtual
Period6/18/216/25/21

ASJC Scopus subject areas

  • Geochemistry and Petrology
  • Geophysics

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