Empirical Methods for Coal Pillar Design

Details

• Personal Author:
  Mark C
• Description:
  Empirical methods involve the scientific interpretation of real-world experience. Many problems in ground control lend themselves to an empirical approach because the mines provide us with plenty of experience with full-scale rock structures. During the past 10 years, powerful design techniques have emerged from statistical analyses of large databases of real-world pillar successes and failures. These include the Analysis of Retreat Mining Pillar Stability (ARMPS), the Analysis of Longwall Pillar Stability (ALPS), the Mark-Bieniawski rectangular pillar strength formula, and guidelines for preventing massive pillar collapses. In the process, our practical understanding of pillar behavior has been greatly enriched. [Description provided by NIOSH]
• Subjects:
  Coal Coal Mining Explosions Explosive Agents Mining Occupational Health Safety
• Keywords:
  Computer-models Geology Mining-industry Models Risk-analysis Rock-mechanics Room-and-pillar-mining Statistical-analysis Underground-mining
• Series:
  Mining Publications
• Publisher:
  National Institute for Occupational Safety and Health
• Document Type:
  Text
• Genre:
  Proceedings
• Place as Subject:
  OSHA Region 3 ; Pennsylvania
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  PRL - Pittsburgh Research Laboratory
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  145-154
• NIOSHTIC Number:
  nn:20033298
• Citation:
  Proceedings of the Second International Workshop on Coal Pillar Mechanics and Design, Pittsburgh, PA: National Institute for Occupational Safety and Health, (NIOSH) 99-114, IC-9448, 1999 Jun; :145-154
• Federal Fiscal Year:
  1999
• Peer Reviewed:
  False
• Source Full Name:
  Proceedings of the Second International Workshop on Coal Pillar Mechanics and Design
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:356504588707ba7739bd3289ab67d9a24de9c84ef70f2751dcdb4d72a67c6ff85efe76110406d35fd05d5cff76e383727a581c924a05abc374478942af1e89e9
• Download URL:
  https://stacks.cdc.gov/view/cdc/226898/cdc_226898_DS1.pdf
• File Type:
  [PDF - 153.88 KB ]