Method for the Interpretation of RMR Variability Using Gaussian Simulation to Reduce the Uncertainty in Estimations of Geomechanical Models of Underground Mines

Juliet Rodriguez-Vilca, Jose Paucar-Vilcañaupa, Humberto Pehovaz-Alvarez, Carlos Raymundo, Nestor Mamani-Macedo, Javier M. Moguerza

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

Abstract

© 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. The application of conventional techniques, such as kriging, to model rock mass is limited because rock mass spatial variability and heterogeneity are not considered in such techniques. In this context, as an alternative solution, the application of the Gaussian simulation technique to simulate rock mass spatial heterogeneity based on the rock mass rating (RMR) classification is proposed. This research proposes a methodology that includes a variographic analysis of the RMR in different directions to determine its anisotropic behavior. In the case study of an underground deposit in Peru, the geomechanical record data compiled in the field were used. A total of 10 simulations were conducted, with approximately 6 million values for each simulation. These were calculated, verified, and an absolute mean error of only 3.82% was estimated. It is acceptable when compared with the value of 22.15% obtained with kriging.
Original languageAmerican English
Title of host publicationMethod for the Interpretation of RMR Variability Using Gaussian Simulation to Reduce the Uncertainty in Estimations of Geomechanical Models of Underground Mines
Pages342-349
Number of pages8
ISBN (Electronic)9783030507909
DOIs
StatePublished - 1 Jan 2020
Externally publishedYes
EventAdvances in Intelligent Systems and Computing -
Duration: 1 Jan 2020 → …

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1209 AISC
ISSN (Print)2194-5357

Conference

ConferenceAdvances in Intelligent Systems and Computing
Period1/01/20 → …

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  • Cite this

    Rodriguez-Vilca, J., Paucar-Vilcañaupa, J., Pehovaz-Alvarez, H., Raymundo, C., Mamani-Macedo, N., & Moguerza, J. M. (2020). Method for the Interpretation of RMR Variability Using Gaussian Simulation to Reduce the Uncertainty in Estimations of Geomechanical Models of Underground Mines. In Method for the Interpretation of RMR Variability Using Gaussian Simulation to Reduce the Uncertainty in Estimations of Geomechanical Models of Underground Mines (pp. 342-349). (Advances in Intelligent Systems and Computing; Vol. 1209 AISC). https://doi.org/10.1007/978-3-030-50791-6_44