A Procedure for the Rapid Assessment of Coal Mine Roof Stability Against Large Roof Falls

Details

• Personal Author:
  Ellenberger, John L. ; Esterhuizen, Gabriel S. ; Klemetti, Ted M.
• Description:
  Advanced numerical models can be used to evaluate entry support systems in coal mines. However, these methods require specialized software and specialized skills to create the models and evaluate the results. Practicing support design engineers require a method to rapidly assess a proposed support system for a given geotechnical scenario. A prediction equation that can be used to assess roof support systems has been developed from the results of hundreds of FLAC3D analyses that were conducted during recent research. These models were validated against field cases and empirical design approaches and were found to adequately predict entry stability in coal mines. The understanding developed from the model outcomes was used to develop an equation to predict entry roof stability against large roof falls. Least-squares error analysis was conducted to find appropriate parameters for the nonlinear equation. The developed equation can be solved using spreadsheet software, allowing for rapid assessment of alternative support system performance in variable geological conditions. The performance of the prediction equation is evaluated against empirical design methods and against selected case histories of support practices at currently operating mines. Examples are presented that demonstrate the performance of the equation in variable geological settings. The stability factor (SF) prediction equation can be used as an assessment tool to assist in the design of coal mine roof support systems. [Description provided by NIOSH]
• Subjects:
  Bibliography Coal Database Minerals Mining Occupational Health Safety
• Keywords:
  Analytical-models Analytical-processes Coal-mining Computer-models Computer-software Engineering Environmental-engineering Geology Ground-control Ground-stability Industrial-design Mathematical-models Mining-industry Models Performance-capability Rock-falls Safety-research Structural-analysis Technical-personnel Underground-mining

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• Series:
  Mining Publications
• Publisher:
  West Virginia University
• Document Type:
  Text
• Genre:
  Proceedings
• Place as Subject:
  OSHA Region 3 ; Pennsylvania ; West Virginia
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  OMSHR - Office of Mine Safety and Health Research
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  1-8
• NIOSHTIC Number:
  nn:20046607
• Citation:
  Proceedings of the 34th International Conference on Ground Control in Mining, July 28-30, 2015, Morgantown, West Virginia. Barczak T, Peng SS, Schmidt D, Tadolini S, Thompson M, eds. Morgantown, WV: West Virginia University, 2015 Jul; :1-8
• Editor(s):
  Barczak T; Peng SS; Schmidt D; Tadolini S; Thompson M
• Federal Fiscal Year:
  2015
• NORA Priority Area:
  Mining
• Peer Reviewed:
  False
• Source Full Name:
  Proceedings of the 34th International Conference on Ground Control in Mining, July 28-30, 2015, Morgantown, West Virginia
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:86bfc04e3a3a7aa57985b50b73a98a95e9b682374632f21d9e48a0972c8dc6363a026c910b31034696c4c6b21a1a047a2d32ce0993e903b961222c52d3787380
• Download URL:
  https://stacks.cdc.gov/view/cdc/228158/cdc_228158_DS1.pdf
• File Type:
  [PDF - 721.68 KB ]