| Literature DB >> 30270967 |
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