Compara mètodes

	Optimització del Disseny de Talls	Criteri de Fallida de Hoek-Brown	Classificació de la massa rocosa (RMR)
Camp	Enginyeria de mines	Enginyeria de mines	Enginyeria de mines
Família	Process / pipeline	Process / pipeline	Process / pipeline
Any d'origen	1960	1980	1973
Autor original	Mining Engineering Practice	Evert Hoek and E. T. Brown	Zbigniew T. Bieniawski
Tipus	Optimization framework for underground mine excavation design	Empirical criterion for rock mass strength prediction	Empirical classification for geotechnical engineering
Font seminal	Brady, B. H. G., & Brown, E. T. (2004). Rock mechanics for underground mining. Springer Science+Business Media.	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.	Bieniawski, Z. T. (1989). Engineering rock mass classifications. John Wiley & Sons. ISBN: 978-0-471-60437-4
Àlies	Stope Design, Underground Mine Layout, Panel Design	Generalized Hoek-Brown Criterion, HB Criterion	RMR, Bieniawski Classification, RMR89
Relacionats	3	3	3
Resum	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.	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 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.