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Ilmanvaihto kaivoksissa×Lerchs-Grossmannin algoritmi×Louhoksen muotoilun optimointi×
TieteenalaKaivostekniikkaKaivostekniikkaKaivostekniikka
MenetelmäperheProcess / pipelineProcess / pipelineProcess / pipeline
Syntyvuosi188019651960
KehittäjäMining Engineering PracticeHelmut Lerchs and Israel GrossmannMining Engineering Practice
TyyppiSystem design for safe air quality and worker cooling in underground minesGraph-theoretic algorithm for pit limit optimizationOptimization framework for underground mine excavation design
AlkuperäislähdeHartman, H. L., Mutmansky, J. M., Ramani, R. V., & Wang, Y. J. (2012). Mine ventilation and ambient air quality. Society for Mining, Metallurgy & Exploration, Inc. link ↗Lerchs, H., & Grossmann, I. F. (1965). Optimum design of open-pit mines. Canadian Mining and Metallurgical Bulletin, 58(633), 47-54. link ↗Brady, B. H. G., & Brown, E. T. (2004). Rock mechanics for underground mining. Springer Science+Business Media. link ↗
RinnakkaisnimetUnderground Mine Ventilation, Air Flow Design, Mine Haulage VentilationLerchs-Grossmann Method, LG AlgorithmStope Design, Underground Mine Layout, Panel Design
Liittyvät343
TiivistelmäMine ventilation is the design and operation of systems that deliver fresh air to underground mining areas and remove contaminated air, heat, and hazardous gases. It is critical for worker safety and productivity, maintaining breathable air (sufficient oxygen, low dust and gas concentrations) and acceptable temperatures. Proper ventilation design requires calculating heat loads from mining operations, determining required air volumes, and designing shaft/drift geometry to deliver adequate flow.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.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: Mine Ventilation · Lerchs-Grossmann Algorithm · Stope Layout. Haettu 2026-06-18 osoitteesta https://scholargate.app/fi/compare