เปรียบเทียบวิธี

	Rock Mass Rating (RMR)	ระบบ Q	การหาค่าเหมาะสมที่สุดของรูปแบบการทำเหมืองใต้ดิน
สาขาวิชา	วิศวกรรมเหมืองแร่	วิศวกรรมเหมืองแร่	วิศวกรรมเหมืองแร่
ตระกูล	Process / pipeline	Process / pipeline	Process / pipeline
ปีกำเนิด	1973	1974	1960
ผู้ริเริ่ม	Zbigniew T. Bieniawski	Nick Barton (Norwegian Geotechnical Institute)	Mining Engineering Practice
ประเภท	Empirical classification for geotechnical engineering	Empirical index for tunnel support and stability prediction	Optimization framework for underground mine excavation design
แหล่งต้นตำรับ	Bieniawski, Z. T. (1989). Engineering rock mass classifications. John Wiley & Sons. ISBN: 978-0-471-60437-4	Barton, N., Lien, R., & Lunde, J. (1974). Engineering classification of rock masses for the design of tunnel support. Rock Mechanics, 6(4), 189-236.	Brady, B. H. G., & Brown, E. T. (2004). Rock mechanics for underground mining. Springer Science+Business Media.
ชื่อเรียกอื่น	RMR, Bieniawski Classification, RMR89	Q Index, Norwegian Geotechnical Institute Classification, Barton System	Stope Design, Underground Mine Layout, Panel Design
ที่เกี่ยวข้อง	3	3	3
สรุป	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 Q-System (NGI Index), introduced by Nick Barton and colleagues at the Norwegian Geotechnical Institute in 1974, is an alternative rock mass classification to RMR. It combines six parameters into a dimensionless index Q ranging from 0.001 to 1000, where higher Q values indicate better rock quality. The Q-System is particularly valued for tunnel and underground excavation design due to its explicit consideration of joint roughness and groundwater effects.	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.