Võrdle meetodeid

	Kaevanduse ventilatsioon	Hoek-Browni purunemiskriteerium	Lerchs-Grossmanni algoritm
Valdkond	Mäendus	Mäendus	Mäendus
Perekond	Process / pipeline	Process / pipeline	Process / pipeline
Tekkeaasta	1880	1980	1965
Looja	Mining Engineering Practice	Evert Hoek and E. T. Brown	Helmut Lerchs and Israel Grossmann
Tüüp	System design for safe air quality and worker cooling in underground mines	Empirical criterion for rock mass strength prediction	Graph-theoretic algorithm for pit limit optimization
Algallikas	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.	Hoek, E., & Brown, E. T. (2002). The Hoek-Brown failure criterion and GSI: 2018 update. Journal of Rock Mechanics and Geotechnical Engineering, 10(2), 445-463.	Lerchs, H., & Grossmann, I. F. (1965). Optimum design of open-pit mines. Canadian Mining and Metallurgical Bulletin, 58(633), 47-54.
Rööpnimetused	Underground Mine Ventilation, Air Flow Design, Mine Haulage Ventilation	Generalized Hoek-Brown Criterion, HB Criterion	Lerchs-Grossmann Method, LG Algorithm
Seotud	3	3	4
Kokkuvõte	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.	The Hoek-Brown Criterion, developed by Evert Hoek and E. T. Brown starting in 1980, is an empirical failure criterion that predicts the shear strength of rock masses as a function of confining pressure. It accounts for rock quality (via the Geological Strength Index, GSI) and thus bridges laboratory rock mechanics and field behavior. The criterion is widely used in mining for slope stability, pillar design, and stress analysis.	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.