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Lerchs-Grossmann 算法×矿山通风×
领域采矿工程采矿工程
方法族Process / pipelineProcess / pipeline
起源年份19651880
提出者Helmut Lerchs and Israel GrossmannMining Engineering Practice
类型Graph-theoretic algorithm for pit limit optimizationSystem design for safe air quality and worker cooling in underground mines
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 ↗Hartman, 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 ↗
别名Lerchs-Grossmann Method, LG AlgorithmUnderground Mine Ventilation, Air Flow Design, Mine Haulage Ventilation
相关43
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.Mine 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.
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ScholarGate方法对比: Lerchs-Grossmann Algorithm · Mine Ventilation. 于 2026-06-17 检索自 https://scholargate.app/zh/compare