Automated Discontinuity Extraction Software Versus Manual Virtual Discontinuity Mapping: Performance Evaluation in Rock Mass Characterization and Rockfall Hazard Identification

Details

• Personal Author:
  Monsalve JJ ; Pfreundschuh A ; Ripepi N ; Soni A
• Description:
  Ground control failures are one of the main causes of accidents in the underground stone mining industry. Some of the fundamental tools for rockfall hazard identification are related to rock mass characterization and geotechnical discontinuity mapping. Recent technological advances in these methods are related to remote sensing techniques and point cloud processing software for automated discontinuity mapping. Remote sensing techniques, such as LiDAR and photogrammetry, generate multi-million point clouds with millimetric precision, capturing the structure of the rock mass. The automated point cloud processing tools offer alternative algorithm-based methods to characterize and map these discontinuities. However, their applicability is constrained by multiple factors such as site specific conditions of the rock mass and the parameters used within the mapping algorithms. This paper evaluates the performance of automated discontinuity extraction software compared with manual virtual discontinuity mapping. Sampling windows from laser-scanned sections in an underground limestone mine are defined and mapped using discontinuity set extractor (DSE). Results from the virtual discontinuity software are compared with manually extracted fractures from I-Site based on reviewing orientation, trace length, spacing, number of extracted discontinuities, and processing time. The analysis determined that the automated mapping algorithm was able to identify the same discontinuity sets that had been manually mapped. The automated mapping software mapped an excessive amount of smaller fractures, which caused the comparison of both mapping techniques to be unsuccessful in terms of trace length and spacing. [Description provided by NIOSH]
• Subjects:
  Hazardous Substances Mining Occupational Health Safety Software
• Keywords:
  Author Keywords: Virtual Discontinuity Mapping Automated Discontinuity Mapping Computer Software Geologic Formations Ground Control Hazard Identification Mining Engineering Rockfall Rock Mass Characterization Rock Mechanics Stone Mines Structural Failure Underground Underground Mining

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• ISSN:
  2524-3462
• Document Type:
  Text
• Funding:
  Contract
• Genre:
  Journal Article
• Place as Subject:
  OSHA Region 3 ; Virginia
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  38
• Issue:
  3
• NIOSHTIC Number:
  nn:20062722
• Citation:
  Min Metall Explor 2021 Jun; 38(3):1383-1394
• Contact Point Address:
  Juan J. Monsalve, Mining and Minerals Engineering Department, Virginia Polytechnic Institute & State University, Blacksburg, VA, USA
• Federal Fiscal Year:
  2021
• Performing Organization:
  Virginia Polytechnic Institute
• Peer Reviewed:
  True
• Start Date:
  20160901
• Source Full Name:
  Mining, Metallurgy & Exploration
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:8fcde6e8e5710c68b7898ca318e3a3a6cb24078cc69ddd325c34789faac5a5a7b5a7ef32fe0de568af68164d12fd5234756c998ad9b71849879c412fcbbe3ed6
• Download URL:
  https://stacks.cdc.gov/view/cdc/225913/cdc_225913_DS1.pdf
• File Type:
  [PDF - 7.50 MB ]