Simulation of compaction by equipment in overburden replacement operations.

Details

• Personal Author:
  Wells LG
• Description:
  A combined stress-strain model for predicting soil compaction due to wheel traffic was developed based on a method for predicting stress distribution with the soil, as well as the development of a log- linear relationship between porosity, applied stress, and moisture content. A computer model that simulates equipment traffic patterns during overburden replacement operations utilized the combined stress-strain model to predict overburden compaction. Model predictions were compared with measured overburden densities determined by field measurements in a study of large surface mines in the midwestern United States that were originally characterized as prime farmland. Simulated levels of bulk density in subsoil and topsoil materials were in relatively good agreement with the field measurements, which corresponded to a variety of soil types, equipment types, and vehicle generation patterns. [Description provided by NIOSH]
• Subjects:
  Mining Occupational Health Safety
• Keywords:
  Mining; Soil analysis; Soil mechanics; Models; Analytical models; Regression analysis
• Series:
  Mining Publications
• Subseries:
  Open File Report
• Document Type:
  Text
• Funding:
  Contract
• Genre:
  Conference Publications ; Final Contract Report
• Place as Subject:
  Kentucky ; OSHA Region 4
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  WO - Washington Office
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  1-25
• NIOSHTIC Number:
  nn:10004589
• Citation:
  For Reference Only At Bureau Libraries, 1985; :1-25
• Federal Fiscal Year:
  1985
• Performing Organization:
  University of Kentucky
• Peer Reviewed:
  False
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:7dc847c09aedf140bc731323e8446b4703641ae07d6ad9e7b7238120dab30b8f7dcaa9b938d34d035f87873a0fe7fec262d5d13dcaf290925445e82b6de3b57d
• Download URL:
  https://stacks.cdc.gov/view/cdc/245168/cdc_245168_DS1.pdf
• File Type:
  [PDF - 168.02 KB ]