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Research Article

Numerical study on the ceiling gas temperature in a subway train with different fire locations

Wei Cong1, Long Shi2, Zhicheng Shi1, Min Peng1, Hui Yang1, Xudong Cheng1( )
State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, Anhui 230026, China
Civil and Infrastructure Engineering, School of Engineering, RMIT University, Melbourne 3004, Australia
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Abstract

Ceiling gas temperature rise is an important evaluation indicator determining the level of risk in a subway tunnel fire. However, very little literature has been found that has addressed the emergency when a fired subway train with lateral multiple openings stops in the interval tunnel. Hence, a battery of full-scale numerical simulations were employed to address the impact of train fire location on the gas temperature beneath the train ceiling. Numerical results showed that the ceiling gas temperature rise is affected by the pressure difference on both sides of fire source and the backflow from the end wall, which depends on the heat release rate and the fire location. The ceiling gas temperature rise decays exponentially in the process of longitudinal spread, and it can be predicted by a dimensionless model with a sum of two exponential equations. Finally, based on a critical fire location ( Lcr∗=0.667), two exponential equations were developed to quantitatively express the influences of the fire size and the fire location on the maximum ceiling gas temperature. The research results can be utilized for providing an initial understanding of the smoke propagation in a subway train fire.

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Building Simulation
Pages 549-560

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Cite this article:
Cong W, Shi L, Shi Z, et al. Numerical study on the ceiling gas temperature in a subway train with different fire locations. Building Simulation, 2022, 15(4): 549-560. https://doi.org/10.1007/s12273-021-0793-8

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Received: 22 November 2020
Revised: 16 March 2021
Accepted: 18 March 2021
Published: 16 July 2021
© Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2021