Abstract

Maximum ceiling temperatures in a tunnel with different ventilation velocities with three heat release fires are studied experimentally and theoretically. This article investigates the ventilation velocity effects on maximum ceiling temperature combustible materials around ignition source in tunnel fires. Several fire experimental tests are conducted with longitudinal ventilation velocity changes in a small-scale tunnel (23 m in length, 2 m in width, and 0.98 m in height), where three heat release fires (237, 340, and 567 kW) and their corresponding values in the real tunnel are 20, 30, and 50 MW, respectively. This article modifies the current temperature prediction model taking the ignition materials near the fire source into account in tunnels. Results show that the ceiling maximum temperature increases, corresponding to the burn time when other experimental conditions remain unchanged for a given fire heat level source. The ceiling temperature reduces quickly when the ventilation velocity is increased from 0.5 to 2.0 m/s. Moreover, this article proposes an equation that can be used to estimate the ceiling maximum temperature variation value with three heat release fires in tunnels. Finally, experimental results are also compared with the tunnel ceiling temperature attenuation equations established by Alpert, Heskestad, and Ingason. The equation proposed in this article appears to provide better estimates of ceiling temperature variation than the Kurioka model developed in their scaled experiments. The prediction agrees well with the experimental and measured data by the modified equations of this article.

Highlights

  • The rapid detection of tunnel fire is one of the important issues in tunnel fire prevention

  • It is important to study the influence of heat release rate (HRR) and longitudinal ventilation velocity on tunnel ceiling temperature

  • The experimental results showed that the full-scale tunnel fire test can better predict the maximum ceiling temperature of the tunnel

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Summary

Introduction

The rapid detection of tunnel fire is one of the important issues in tunnel fire prevention. It is important to study the influence of HRR and longitudinal ventilation velocity on tunnel ceiling temperature. It provides a theoretical basis for tunnel design and detection system. Kurioka et al.[7] studied the prediction model of the maximum smoke temperature of tunnels based on the small-scale longitudinal ventilation tunnel experiment. The experimental results showed that the full-scale tunnel fire test can better predict the maximum ceiling temperature of the tunnel It is not the most cost-effective method to conduct comprehensive experiments. Through the estimation of the experimental results, the analytical expression of the maximum ceiling temperature considering the influence of high heat release fires and longitudinal ventilation is obtained. By comparing with previous studies, it is found that the new correlation is in good agreement with the experimental results and the numerical simulation results in this article

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