Fire (Sep 2024)

Experimental Analysis of Ceiling Temperature Distribution in Sloped Integrated Common Services Tunnels

  • Linjie Li,
  • Guang Wu,
  • Zhaoguo Wu,
  • Huixian Huang,
  • Haibing Zhang,
  • Zihe Gao

DOI
https://doi.org/10.3390/fire7090320
Journal volume & issue
Vol. 7, no. 9
p. 320

Abstract

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In this study, a 1/10 reduced-scale model tunnel with one end closed was constructed to investigate maximum temperature profiles beneath the tunnel ceiling during fire events. By varying the heat release rates (HRRs) and tunnel slopes (0%, 2%, 5%, and 6%) and measuring horizontal temperatures longitudinally along the tunnel ceiling, the effects of these parameters were systematically examined. The findings reveal that the distribution of maximum temperatures within a one-end-closed tunnel can be categorized into three distinct regions: far-field, transition, and near-field regions. Notably, milder tunnel slopes correspond to an elevated maximum temperature beneath the ceiling. By employing dimensional analysis, two prediction models were formulated to forecast maximum temperatures beneath the ceiling for fire sources located in the far-field and near-field regions, respectively. These predictive models were validated against experimental data, demonstrating favorable agreement. This study enhances our understanding of the impact of tunnel slope on temperature distribution during fire events in one-end-closed tunnels. Furthermore, the prediction models developed offer practical tools for assessing and mitigating fire risks in such tunnel configurations.

Keywords