Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Критерий разрушения Хука-Брауна× | Оптимизация планировки очистных выработок× | |
|---|---|---|
| Область | Горное дело | Горное дело |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1980 | 1960 |
| Автор метода≠ | Evert Hoek and E. T. Brown | Mining Engineering Practice |
| Тип≠ | Empirical criterion for rock mass strength prediction | Optimization framework for underground mine excavation design |
| Основополагающий источник≠ | 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 ↗ |
| Другие названия≠ | Generalized Hoek-Brown Criterion, HB Criterion | Stope Design, Underground Mine Layout, Panel Design |
| Связанные | 3 | 3 |
| Сводка≠ | 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. |
| ScholarGateНабор данных ↗ |
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