| Issue |
E3S Web Conf.
Volume 168, 2020
II International Conference Essays of Mining Science and Practice
|
|
|---|---|---|
| Article Number | 00049 | |
| Number of page(s) | 9 | |
| DOI | https://doi.org/10.1051/e3sconf/202016800049 | |
| Published online | 06 May 2020 | |
Identification of zones of influence of exogenous fire damaging factors
1
Institute of Geotechnical Mechanics named by N. Poljakov of National Academy of Sciences of Ukraine, 49005, Dnipro, Simferopolska Str., 2a, Ukraine
2
Ministry of Power Engineering and Coal Industry of Ukraine, 01601, Kyiv, Khreshchatic Str., 30, Ukraine
3
Prydniprovsk State Academy of Civil Engineering and Architecture, 49600, Dnipro, Chernyshevskoho Str., 24a, Ukraine
4
Limited Liability Company “DTEK”, 01032, Kyiv, Leo Tolstoy Str., 57, Ukraine
5
InterNations GmbH, 80336, Munich, Schwanthalerstrase 39, Germany
* Corresponding author: bunko2017@ukr.net
In this work, topological configuration of dangerous zone in the mine ventilation network and concentrations of fire gases in it are estimated and identified at vent impacting on the emergency conditions. The obtained information on gas-dynamic state of the mine ventilation network at a current moment of time is used for undertaking primary measures according to the plan of accident response: emergency evacuation of people and actions of militarized mine-rescue services for eliminating emergency at its initial stage with taking into account changed emergency ventilation mode. The proposed method allows identifying an area in the mine contaminated by combustion products with taking into account time of its formation, changes in ventilation mode during the accident and possible air stream reversal in zones with descentional ventilation under the influence of the fire source depression and formation of zones with fire gas recirculation. With implementation of this method, it becomes possible to improve accuracy of detecting gassy zones in the ventilation network and effectiveness of emergency response.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.