A Direct Derivative Method to Calculate Resistance Sensitivity for Mine Ventilation Networks

Details

• Personal Author:
  Bahrami D ; Zhou L
• Description:
  A reliable and stable ventilation system is essential to the safe operation of underground mines. The stability of a mine ventilation system becomes extremely critical while responding to a fire incident since an unstable ventilation system will pose a risk of airflow reversal. The reversed airflow could bring the fire contaminants such as toxic gases and smoke unexpectedly to working areas. In the past few years, there has been a growing interest in the study of ventilation network stability using the concept of resistance sensitivity, which is described as an indicator of how the airflow in an airway is reacting to a resistance change of other airways. Several methods of calculating the resistance sensitivity in a mine ventilation network have been carried out by researchers and scholars around the world. However, the proposed methods heavily rely on a vast amount of mine ventilation simulations, which are very time and computer-power consuming, especially for a large-scale mine ventilation network. In this paper, a direct derivative method calculating the resistance sensitivities with a single mine ventilation simulation has been developed and implemented into a mine fire simulation software, MFIRE. The results from the direct derivative method were verified against the results from a traditional method. The direct derivative method has been proved to be reliable and accurate. [Description provided by NIOSH]
• Subjects:
  Mining Occupational Health Safety Software Ventilation
• Keywords:
  Airflow Analytical Methods Computerized Simulation Computer Software Mine Fires Mining Industry Simulation Methods Underground Mines Ventilation Systems
• Series:
  Mining Publications
• ISBN:
  9781713845089
• Publisher:
  Society for Mining, Metallurgy & Exploration (SME)
• Document Type:
  Text
• Genre:
  Proceedings
• Place as Subject:
  Colorado ; OSHA Region 3 ; OSHA Region 8 ; Pennsylvania ; Utah
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  PMRD - Pittsburgh Mining Research Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  18-21
• NIOSHTIC Number:
  nn:20065264
• Citation:
  MineXchange: 2022 SME Annual Conference and Expo, February 27-March 2, 2022, Salt Lake City, Utah, preprint 22-005. Englewood, CO: Society for Mining, Metallurgy & Exploration, 2022 Feb; :18-21
• Contact Point Address:
  L. Zhou, CDC NIOSH, Pittsburgh, PA, United States
• Federal Fiscal Year:
  2022
• NORA Priority Area:
  Mining
• Peer Reviewed:
  False
• Source Full Name:
  MineXchange: 2022 SME Annual Conference and Expo, February 27-March 2, 2022, Salt Lake City, Utah, preprint 22-005
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:179fd687068abaf301dbcdeb05e9b97b5230aeec2f3f4a1a57340248c99fb083c96baacf949f9bf1e580e3135d585186cb3f2d7f2e49dd534e045a5bcaa4b774
• Download URL:
  https://stacks.cdc.gov/view/cdc/215492/cdc_215492_DS1.pdf
• File Type:
  [PDF - 281.65 KB ]