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Lerchs-Grossmannin algoritmi×Pseudoflow-algoritmi×Louhoksen muotoilun optimointi×
TieteenalaKaivostekniikkaKaivostekniikkaKaivostekniikka
MenetelmäperheProcess / pipelineProcess / pipelineProcess / pipeline
Syntyvuosi196519921960
KehittäjäHelmut Lerchs and Israel GrossmannDorit S. HochbaumMining Engineering Practice
TyyppiGraph-theoretic algorithm for pit limit optimizationEfficient algorithm for maximum closure problemOptimization framework for underground mine excavation design
AlkuperäislähdeLerchs, H., & Grossmann, I. F. (1965). Optimum design of open-pit mines. Canadian Mining and Metallurgical Bulletin, 58(633), 47-54. link ↗Hochbaum, D. S. (1992). A new-old algorithm for minimum-cut and maximum-flow problems. Journal of the ACM, 1(1), 76-109. link ↗Brady, B. H. G., & Brown, E. T. (2004). Rock mechanics for underground mining. Springer Science+Business Media. link ↗
RinnakkaisnimetLerchs-Grossmann Method, LG AlgorithmPseudoflow Algorithm, Hochbaum AlgorithmStope Design, Underground Mine Layout, Panel Design
Liittyvät433
TiivistelmäThe 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 Pseudoflow Algorithm, developed by Dorit Hochbaum in 1992, is a polynomial-time algorithm for computing maximum weighted closures in directed acyclic graphs. In mining, it solves the ultimate pit limit problem more efficiently than earlier methods. By maintaining feasible pseudoflows and iteratively eliminating negative-cost nodes, it achieves near-optimal practical performance even on industrial-scale block models.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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ScholarGateVertaile menetelmiä: Lerchs-Grossmann Algorithm · Pseudoflow · Stope Layout. Haettu 2026-06-18 osoitteesta https://scholargate.app/fi/compare