Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Critério de Falha de Hoek-Brown× | Otimização do Layout de Cavas× | |
|---|---|---|
| Área | Engenharia de minas | Engenharia de minas |
| Família | Process / pipeline | Process / pipeline |
| Ano de origem≠ | 1980 | 1960 |
| Autor original≠ | Evert Hoek and E. T. Brown | Mining Engineering Practice |
| Tipo≠ | Empirical criterion for rock mass strength prediction | Optimization framework for underground mine excavation design |
| Fonte seminal≠ | Hoek, E., & Brown, E. T. (2002). The Hoek-Brown failure criterion and GSI: 2018 update. Journal of Rock Mechanics and Geotechnical Engineering, 10(2), 445-463. link ↗ | Brady, B. H. G., & Brown, E. T. (2004). Rock mechanics for underground mining. Springer Science+Business Media. link ↗ |
| Outros nomes≠ | Generalized Hoek-Brown Criterion, HB Criterion | Stope Design, Underground Mine Layout, Panel Design |
| Relacionados | 3 | 3 |
| Resumo≠ | The Hoek-Brown Criterion, developed by Evert Hoek and E. T. Brown starting in 1980, is an empirical failure criterion that predicts the shear strength of rock masses as a function of confining pressure. It accounts for rock quality (via the Geological Strength Index, GSI) and thus bridges laboratory rock mechanics and field behavior. The criterion is widely used in mining for slope stability, pillar design, and stress analysis. | Stope layout optimization is the process of designing the size, shape, and spatial arrangement of underground mine excavations (stopes) to maximize ore recovery while maintaining safety and economic viability. It balances the desire for large extraction volumes against rock mechanics constraints and support costs. The layout determines mining productivity, capital investment in support systems, and long-term mine life. |
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