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隧道双火源火灾烟层回退长度研究

Study on the Length of Smoke Backlayering of Double-Source Fire in Tunnels.

作者信息

Liang Zhongqiu, Qi Xuyao, Wei Cunxiang, Chen Liangzhou, Rao Yuxuan, Li Jie, Su Weiwei, Zhang Yabo

机构信息

CCTEG Shenyang Research Institute, Shenyang 110000, China.

Key Laboratory of Gas and Fire Control for Coal Mines, School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China.

出版信息

ACS Omega. 2024 Jun 26;9(27):29529-29536. doi: 10.1021/acsomega.4c01425. eCollection 2024 Jul 9.

DOI:10.1021/acsomega.4c01425
PMID:39005770
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11238239/
Abstract

In order to predict the smoke backlayering length of double-source fire in tunnels, this paper deduced the dimensional expressions for smoke backlayering length by theoretical analysis and proposed a prediction formula for smoke backlayering length in single-source fire on the basis of the Fire Dynamics Simulator. Based on the results, the paper proposed a method for studying the smoke backlayering length of double-source fire in the tunnel. By introducing the fire power influence coefficient α and the distance influence coefficient β, the formula for predicting smoke backlayering length in single-source fire was revised to obtain a new formula for predicting the smoke backlayering length of double-source fire. By comparing the formula prediction value with the simulation value, it is found that the prediction formula is almost accurate. This study will be helpful for understanding the multisource tunnel fire and predicting the smoke backlayering length of double-source fire in tunnels, which can provide guidance for tunnel fire rescue.

摘要

为了预测隧道中双火源火灾的烟气回流长度,本文通过理论分析推导了烟气回流长度的量纲表达式,并基于火灾动力学模拟器提出了单火源火灾烟气回流长度的预测公式。基于这些结果,本文提出了一种研究隧道中双火源火灾烟气回流长度的方法。通过引入火源功率影响系数α和距离影响系数β,对单火源火灾烟气回流长度的预测公式进行修正,得到了双火源火灾烟气回流长度的预测新公式。通过将公式预测值与模拟值进行比较,发现预测公式几乎是准确的。本研究将有助于理解多源隧道火灾并预测隧道中双火源火灾的烟气回流长度,可为隧道火灾救援提供指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e8d/11238239/230f075c0007/ao4c01425_0012.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e8d/11238239/9d11589846d3/ao4c01425_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e8d/11238239/e399ca134898/ao4c01425_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e8d/11238239/84c2c005d60f/ao4c01425_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e8d/11238239/c3cd93cbceb7/ao4c01425_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e8d/11238239/b0e1df341aad/ao4c01425_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e8d/11238239/06bbc1117829/ao4c01425_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e8d/11238239/7152ad7e251a/ao4c01425_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e8d/11238239/0c43391cbb1a/ao4c01425_0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e8d/11238239/e684fdd92e69/ao4c01425_0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e8d/11238239/2d5b0df8790f/ao4c01425_0010.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e8d/11238239/230f075c0007/ao4c01425_0012.jpg

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