方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| Lerchs-Grossmann 算法× | 岩体质量评级（RMR）× | |
|---|---|---|
| 领域 | 采矿工程 | 采矿工程 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1965 | 1973 |
| 提出者≠ | Helmut Lerchs and Israel Grossmann | Zbigniew T. Bieniawski |
| 类型≠ | Graph-theoretic algorithm for pit limit optimization | Empirical classification for geotechnical engineering |
| 开创性文献≠ | Lerchs, H., & Grossmann, I. F. (1965). Optimum design of open-pit mines. Canadian Mining and Metallurgical Bulletin, 58(633), 47-54. link ↗ | Bieniawski, Z. T. (1989). Engineering rock mass classifications. John Wiley & Sons. ISBN: 978-0-471-60437-4 |
| 别名≠ | Lerchs-Grossmann Method, LG Algorithm | RMR, Bieniawski Classification, RMR89 |
| 相关≠ | 4 | 3 |
| 摘要≠ | 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. | The Rock Mass Rating (RMR) system, developed by Zbigniew Bieniawski starting in 1973, is an empirical classification that characterizes rock mass quality and estimates mining and civil engineering behavior. RMR combines five measurable geotechnical parameters into a single index ranging from 0 to 100, where higher values indicate stronger, more stable rock masses. It is the most widely used rock classification system worldwide for underground mining design. |
| ScholarGate数据集 ↗ |
|
|