Stability assessment of underground mine stopes subjected to stress relaxation

Amoussou Coffi Adoko, Javier Vallejos, Robert Trueman

Research output: Contribution to journalArticle

Abstract

Stress relaxation plays an important role in the design of underground stopes. The aim of this paper is to assess the stope stability in connection with the stress relaxation using a classification approach. Three types of stress relaxation were clearly defined, namely partial relaxation, tangential relaxation and full relaxation. A neural network classifier was implemented to assess the stability of the stopes on the basis of case histories of stope performances. The results of the classification were compared to existing empirical methods of quantifying the stress relaxation. Overall, the present study shows higher classification accuracies, especially when the stress relaxation was considered. The results suggested that the relaxation type can be a good predictor of stability. Relaxed stope (full and tangential stress relaxation) cases are the most critical in the sense that lower accuracies were obtained and the probability of correct classification is rather erratic.

Original languageEnglish
JournalMining Technology: Transactions of the Institute of Mining and Metallurgy
DOIs
Publication statusAccepted/In press - Jan 1 2020

Keywords

  • Mathew’s stability graph
  • mine stope stability
  • neural network classifier
  • Stress relaxation

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Geology

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