Σύγκριση μεθόδων

	Σύστημα Βαθμολόγησης Πετρωμάτων (Rock Mass Rating - RMR)	Κριτήριο Αστοχίας Hoek-Brown	Βελτιστοποίηση Διάταξης Στοών Εξόρυξης
Πεδίο	Μεταλλευτική Μηχανική	Μεταλλευτική Μηχανική	Μεταλλευτική Μηχανική
Οικογένεια	Process / pipeline	Process / pipeline	Process / pipeline
Έτος προέλευσης	1973	1980	1960
Δημιουργός	Zbigniew T. Bieniawski	Evert Hoek and E. T. Brown	Mining Engineering Practice
Τύπος	Empirical classification for geotechnical engineering	Empirical criterion for rock mass strength prediction	Optimization framework for underground mine excavation design
Θεμελιώδης πηγή	Bieniawski, Z. T. (1989). Engineering rock mass classifications. John Wiley & Sons. ISBN: 978-0-471-60437-4	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.	Brady, B. H. G., & Brown, E. T. (2004). Rock mechanics for underground mining. Springer Science+Business Media.
Εναλλακτικές ονομασίες	RMR, Bieniawski Classification, RMR89	Generalized Hoek-Brown Criterion, HB Criterion	Stope Design, Underground Mine Layout, Panel Design
Συναφείς	3	3	3
Σύνοψη	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.	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.	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.