Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| Hoek-Browni purunemiskriteerium× | Lerchs-Grossmanni algoritm× | |
|---|---|---|
| Valdkond | Mäendus | Mäendus |
| Perekond | Process / pipeline | Process / pipeline |
| Tekkeaasta≠ | 1980 | 1965 |
| Looja≠ | Evert Hoek and E. T. Brown | Helmut Lerchs and Israel Grossmann |
| Tüüp≠ | Empirical criterion for rock mass strength prediction | Graph-theoretic algorithm for pit limit optimization |
| Algallikas≠ | 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 ↗ | Lerchs, H., & Grossmann, I. F. (1965). Optimum design of open-pit mines. Canadian Mining and Metallurgical Bulletin, 58(633), 47-54. link ↗ |
| Rööpnimetused | Generalized Hoek-Brown Criterion, HB Criterion | Lerchs-Grossmann Method, LG Algorithm |
| Seotud≠ | 3 | 4 |
| Kokkuvõte≠ | 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. | The Lerchs-Grossmann Algorithm is a graph-theoretic method for determining the ultimate pit limit in open-pit mining operations. Introduced by Helmut Lerchs and Israel Grossmann in 1965, it maximizes the net present value of extracted ore while respecting slope stability constraints. This algorithm forms the theoretical foundation for most modern pit optimization software. |
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