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地下矿井火灾中一氧化碳扩散的数值与实验研究。

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

作者信息

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

出版信息

J Fire Sci. 2018;36(5):406-418. doi: 10.1177/0734904118793891. Epub 2018 Aug 14.

DOI:10.1177/0734904118793891
PMID:30270967
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6159219/
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.

摘要

地下矿井火灾的主要危险是一氧化碳中毒。深入了解火灾期间地下矿井中烟雾和一氧化碳的运动情况，对于通风系统设计、应急响应以及矿工逃生和救援至关重要。矿井火灾模拟软件包已被广泛用于预测矿井中一氧化碳浓度及其扩散情况，以制定有效的矿井火灾应急预案。然而，由于缺乏验证研究，并不十分推荐使用它们来预测实际的一氧化碳浓度。在本文中，基于通风网络的矿井火灾模拟软件MFIRE，利用美国国家职业安全与健康研究所安全研究煤矿进行的大规模柴油和输送带火灾试验的实验结果，对其一氧化碳扩散预测能力进行了评估。一氧化碳浓度模拟结果与测试结果之间的比较显示出良好的一致性，表明MFIRE能够可靠地预测地下矿井火灾中一氧化碳的扩散情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b07/6159219/0fb62abf9910/nihms-987394-f0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b07/6159219/548a9a044147/nihms-987394-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b07/6159219/7287ba86bb0f/nihms-987394-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b07/6159219/f3a59d055bca/nihms-987394-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b07/6159219/d4ffb777aa35/nihms-987394-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b07/6159219/a70d9b444bde/nihms-987394-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b07/6159219/5fc6942bafc2/nihms-987394-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b07/6159219/8ee2fe6fb190/nihms-987394-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b07/6159219/c20618228fac/nihms-987394-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b07/6159219/bdfd7656a4c5/nihms-987394-f0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b07/6159219/0fb62abf9910/nihms-987394-f0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b07/6159219/548a9a044147/nihms-987394-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b07/6159219/7287ba86bb0f/nihms-987394-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b07/6159219/f3a59d055bca/nihms-987394-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b07/6159219/d4ffb777aa35/nihms-987394-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b07/6159219/a70d9b444bde/nihms-987394-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b07/6159219/5fc6942bafc2/nihms-987394-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b07/6159219/8ee2fe6fb190/nihms-987394-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b07/6159219/c20618228fac/nihms-987394-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b07/6159219/bdfd7656a4c5/nihms-987394-f0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b07/6159219/0fb62abf9910/nihms-987394-f0010.jpg

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