Stability assessment of underground mine stopes subjected to stress relaxation
Author
dc.contributor.author
Adoko, Amoussou Coffi
Author
dc.contributor.author
Vallejos, Javier
Author
dc.contributor.author
Trueman, Robert
Admission date
dc.date.accessioned
2020-05-11T22:18:48Z
Available date
dc.date.available
2020-05-11T22:18:48Z
Publication date
dc.date.issued
2020
Cita de ítem
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Mining Technology 2020, Vol. 129, No. 1, 30–39
es_ES
Identifier
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10.1080/25726668.2020.1721995
Identifier
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https://repositorio.uchile.cl/handle/2250/174660
Abstract
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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.
es_ES
Patrocinador
dc.description.sponsorship
Faculty Development Competitive Research Grant program of Nazarbayev University: 090118FD5338.
Advanced Mining Technology Center (AMTC), University of Chile, through the Basal Project: FB-0809.