Method for the Interpretation of RMR Variability Using Gaussian Simulation to Reduce the Uncertainty in Estimations of Geomechanical Models of Underground Mines
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Authors
Rodriguez-Vilca, JulietPaucar-Vilcañaupa, Jose
Pehovaz-Alvarez, Humberto
Raymundo, Carlos
Mamani-Macedo, Nestor
Moguerza, Javier M.
Issue Date
2020-01-01
Metadata
Show full item recordPublisher
SpringerJournal
Advances in Intelligent Systems and ComputingDOI
10.1007/978-3-030-50791-6_44Additional Links
https://link.springer.com/chapter/10.1007/978-3-030-50791-6_44Abstract
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.Type
info:eu-repo/semantics/articleRights
info:eu-repo/semantics/embargoedAccessLanguage
engDescription
El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.ISSN
21945357EISSN
21945365ae974a485f413a2113503eed53cd6c53
10.1007/978-3-030-50791-6_44
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