ScholarGate
Assistent

Compara mètodes

Revisa els mètodes seleccionats l'un al costat de l'altre; les files que difereixen es ressalten.

Classificació de la massa rocosa (RMR)×Criteri de Fallida de Hoek-Brown×Optimització del Disseny de Talls×
CampEnginyeria de minesEnginyeria de minesEnginyeria de mines
FamíliaProcess / pipelineProcess / pipelineProcess / pipeline
Any d'origen197319801960
Autor originalZbigniew T. BieniawskiEvert Hoek and E. T. BrownMining Engineering Practice
TipusEmpirical classification for geotechnical engineeringEmpirical criterion for rock mass strength predictionOptimization framework for underground mine excavation design
Font seminalBieniawski, Z. T. (1989). Engineering rock mass classifications. John Wiley & Sons. ISBN: 978-0-471-60437-4Hoek, 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. link ↗Brady, B. H. G., & Brown, E. T. (2004). Rock mechanics for underground mining. Springer Science+Business Media. link ↗
ÀliesRMR, Bieniawski Classification, RMR89Generalized Hoek-Brown Criterion, HB CriterionStope Design, Underground Mine Layout, Panel Design
Relacionats333
ResumThe 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.
ScholarGateConjunt de dades
  1. v1
  2. 2 Fonts
  3. PUBLISHED
  1. v1
  2. 2 Fonts
  3. PUBLISHED
  1. v1
  2. 2 Fonts
  3. PUBLISHED

Ves a la cerca Baixa les diapositives

ScholarGateCompara mètodes: Rock Mass Rating · Hoek-Brown Criterion · Stope Layout. Recuperat el 2026-06-20 de https://scholargate.app/ca/compare