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| DOI | 10.1016/J.IJRMMS.2022.105081 | ||||
| Año | 2022 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Numerical modelling is widely used to estimate seismic potential in mines. Several numerical methods, along with different interpretation techniques, allow estimating the seismic potential at different stages of a mine or tunnel construction. However, none of the existing methods considers the magnitude of seismic events as a distribution of values, rather all methods focus on obtaining a single value representative of the seismic conditions for each excavation stage. The objective of this study was to develop a method based on the implicit generation of a synthetic distribution of seismic data and on the results of numerical modelling, providing a means to decompose the modelling results into a statistical distribution of maximum magnitudes. The results of this method provide a statistical distribution of the maximum magnitudes, based on existing plastic modelling results and assumptions about the failure mechanism. This work provides an engineering tool to evaluate the probability of the maximum seismic event.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Jarufe Troncoso, Juan Andres | Hombre |
Universidad de Santiago de Chile - Chile
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| 2 | Perez Cortes, Sebastian Alexander | Hombre |
Universidad de Santiago de Chile - Chile
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| 3 | HURTADO-CRUZ, JUAN PABLO | Hombre |
Universidad de Santiago de Chile - Chile
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| 4 | Cifuentes, C. | Hombre |
Corp Nacl Cobre - Chile
Corporación Nacional del Cobre - Chile |
| Fuente |
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| Vice-rectory for Research, Devel-opment and Innovation, through the research project DICYT |
| Vice-rectory for Research, Development and Innovation |
| Agradecimiento |
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| Funding This work was supported by the Vice-rectory for Research, Devel-opment and Innovation, through the research project DICYT code 051715JT. |
| This work was supported by the Vice-rectory for Research, Development and Innovation , through the research project DICYT code 051715JT . |