Classification-Based Probabilistic Design Of Ground Support; Proceedings Of The International Workshop On Rock Mass Classification In Underground Mining

Details

• Personal Author:
  Langston, Radford B. ; Kirsten, Hendrik A. D., Dr. ; Howell, Graham C., Dr. ; Marjerison, John A.
• Description:
  Probabilistic design is gaining wider acceptance in the rock engineering community since it allows more rigorous determination of risk relating to ground fall or excavation instability. Risk analysis can be conducted by various means, but the basis is formed by either objectively or subjectively determining probability of occurrence of an event. In the case of rock engineering, this event is either instability or excavation failure. Rock mass classification systems provide objective analysis of data collected on a typically subjective basis that also relate closely to excavation stability. A probabilistic analysis technique is presented that uses statistical distributions of rock mass and material properties, ground support fixture specifications, stress conditions, opening geometry, and ground support installation quality to more rigorously determine probability of failure for an underground opening and the subsequent risk to personnel.
• Subjects:
  NIOSH
• Document Type:
  Text
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• NIOSHTIC Number:
  nn:20032023
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:4c17043d74f97865460cd830752aad5b2667f76aa7d938692f68a36031d76e3a0b8e6328b9eff8bd9d4d1b6092541939340509aac624c128f2a1278e0552efef
• Download URL:
  https://stacks.cdc.gov/view/cdc/8483/cdc_8483_DS1.pdf
• File Type:
  [PDF - 338.12 KB ]