Research and Analysis of Subway Platform Fire Risk and Control Strategy
<p>Feng Yao<sup>1</sup>, Xu Hongjie<sup>2</sup></p>
Abstract
Open-access reader
<p>Feng Yao<sup>1</sup>, Xu Hongjie<sup>2</sup></p>
Abstract
Open-access reader
In order to study the threat of subway platform fires to subway safety and how to reduce the impact of fires on subway safety through mechanical smoke exhaustion systems, this article used FDS software for numerical simulation to explore the influence of the opening of the platform smoke-screen doors on the smoke flow pattern during fires. The article set three typical fire simulation scenarios, and through the analysis of the simulation data, it was found that when the platform smoke-screen doors were in the open state, the time for smoke to spread to the concourse could be extended, and the height of the smoke layer could be effectively reduced. However, it is best to open the smoke-screen doors on both sides of the subway platform at the same time to achieve rapid smoke exhaust and provide valuable time for safe evacuation of personnel.
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In order to study the threat of subway platform fires to subway safety and how to reduce the impact of fires on subway safety through mechanical smoke exhaustion systems, this article used FDS software for numerical simulation to explore the influence of the opening of the platform smoke-screen doors on the smoke flow pattern during fires. The article set three typical fire simulation scenarios, and through the analysis of the simulation data, it was found that when the platform smoke-screen doors were in the open state, the time for smoke to spread to the concourse could be extended, and the height of the smoke layer could be effectively reduced. However, it is best to open the smoke-screen doors on both sides of the subway platform at the same time to achieve rapid smoke exhaust and provide valuable time for safe evacuation of personnel.
Key concepts: Doors, Smoke, Subway station, Fire safety, Environmental science, Engineering, Simulation, Computer science