Utilization of Statistical Analysis to Identify Influential Slope Parameters Associated with Rockfall at Open Pit Mines

Details

• Personal Author:
  Armstrong J ; Bourgeois J ; Warren S
• Description:
  The application of statistical analysis software programs has proven useful for investigation of rockfall runout distance along a designed slope. Rockfall modeling programs are continually being upgraded with more sophisticated analysis tools, such as the use of the rigid body versus lump mass models. Engineers at mine sites utilizing the software may have varied experience related to these models, their associated input parameters, and how to interpret the generated results. To address this concern, researchers at the Spokane Mining Research Division (SMRD) of the U.S. National Institute for Occupational Safety and Health (NIOSH) investigated the influence of slope height, slope angle, slope material, and rock size for both rigid body and lump mass models in a 2-D statistical analysis program. Based on a literature search and industry input, specific ranges common to that of an open pit mining environment were chosen for each of the input parameters to determine 90% rock runout distance as well as their sensitivity to change. Data collected from this numerical analysis and simulation will be compared to empirical rockfall data gathered through the duration of the Highwall Safety project conducted by NIOSH from 2022-2026. [Description provided by NIOSH]
• Subjects:
  Mining Occupational Health Safety Software
• Keywords:
  Computer Software Highwall Mining Mining Engineering Mining Industry Open Pit Mining Rock Falls Slope Stability Statistical Analysis
• Series:
  Mining Publications
• ISBN:
  9781713845089
• Publisher:
  Society for Mining, Metallurgy & Exploration (SME)
• Document Type:
  Text
• Genre:
  Proceedings
• Place as Subject:
  Colorado ; Nevada ; OSHA Region 10 ; OSHA Region 8 ; OSHA Region 9 ; Utah ; Washington
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  SMRD - Spokane Mining Research Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  353-360
• NIOSHTIC Number:
  nn:20064826
• Citation:
  MineXchange: 2022 SME Annual Conference and Expo, February 27-March 2, 2022, Salt Lake City, Utah, preprint 22-066. Englewood, CO: Society for Mining, Metallurgy & Exploration, 2022 Feb; :353-360
• Federal Fiscal Year:
  2022
• Peer Reviewed:
  False
• Source Full Name:
  MineXchange: 2022 SME Annual Conference and Expo, February 27-March 2, 2022, Salt Lake City, Utah, preprint 22-066
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:084dc2914705c70f8a32699687b2c5a999ad299268e2077a82b6e939a43449457e3393020644680a5b7fdacec5fca11072a85e17517204ca8d2b0bcb1d86f5ea
• Download URL:
  https://stacks.cdc.gov/view/cdc/215486/cdc_215486_DS1.pdf
• File Type:
  [PDF - 1.36 MB ]