Literature DB >> 30270967

Numerical and experimental investigation of carbon monoxide spread in underground mine fires.

Lihong Zhou, Liming Yuan, Davood Bahrami, Richard A Thomas, James H Rowland.   

Abstract

The primary danger with underground mine fires is carbon monoxide poisoning. A good knowledge of smoke and carbon monoxide movement in an underground mine during a fire is of importance for the design of ventilation systems, emergency response, and miners' escape and rescue. Mine fire simulation software packages have been widely used to predict carbon monoxide concentration and its spread in a mine for effective mine fire emergency planning. However, they are not highly recommended to be used to forecast the actual carbon monoxide concentration due to lack of validation studies. In this article, MFIRE, a mine fire simulation software based on ventilation networks, was evaluated for its carbon monoxide spread prediction capabilities using experimental results from large-scale diesel fuel and conveyor belt fire tests conducted in the Safety Research Coal Mine at The National Institute for Occupational Safety and Health. The comparison between the simulation and test results of carbon monoxide concentration shows good agreement and indicates that MFIRE is able to predict the carbon monoxide spread in underground mine fires with confidence.

Entities:  

Keywords:  Mine fire; carbon monoxide spread; mine fire simulation

Year:  2018        PMID: 30270967      PMCID: PMC6159219          DOI: 10.1177/0734904118793891

Source DB:  PubMed          Journal:  J Fire Sci        ISSN: 0734-9041            Impact factor:   1.694


  2 in total

1.  Modeling carbon monoxide spread in underground mine fires.

Authors:  Liming Yuan; Lihong Zhou; Alex C Smith
Journal:  Appl Therm Eng       Date:  2016-05-05       Impact factor: 5.295

2.  NEW IMPROVEMENTS TO MFIRE TO ENHANCE FIRE MODELING CAPABILITIES.

Authors:  L Zhou; A C Smith; L Yuan
Journal:  Min Eng       Date:  2016-06
  2 in total
  1 in total

1.  Molecular simulation of gases competitive adsorption in lignite and analysis of original CO desorption.

Authors:  Jing Zhang; Jiren Wang; Chunhua Zhang; Zongxiang Li; Jinchao Zhu; Bing Lu
Journal:  Sci Rep       Date:  2021-06-03       Impact factor: 4.379

  1 in total

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