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Lerchsov-Grossmannov algoritam×Rock Mass Rating (RMR)×
PodručjeRudarstvoRudarstvo
ObiteljProcess / pipelineProcess / pipeline
Godina nastanka19651973
TvoracHelmut Lerchs and Israel GrossmannZbigniew T. Bieniawski
VrstaGraph-theoretic algorithm for pit limit optimizationEmpirical classification for geotechnical engineering
Temeljni izvorLerchs, 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
Drugi naziviLerchs-Grossmann Method, LG AlgorithmRMR, Bieniawski Classification, RMR89
Srodne43
SažetakThe 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.
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ScholarGateUsporedite metode: Lerchs-Grossmann Algorithm · Rock Mass Rating. Preuzeto 2026-06-19 s https://scholargate.app/hr/compare