主管:中华人民共和国应急管理部
主办:应急管理部天津消防研究所
ISSN 1009-0029  CN 12-1311/TU

Fire Science and Technology ›› 2024, Vol. 43 ›› Issue (9): 1272-1277.

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Analysis of differences and feasibility of critical velocity models for tunnel fires

Sun Feng1, Li Jiangdong2,3,4, Wang Xiaofei1,Wu Ke2,3,4   

  1. (1. China Railway Siyuan Survey and Design Group Co., Ltd., Hubei Wuhan 430063, China; 2. Center of Balance Architecture, Zhejiang University, Zhejiang Hangzhou 310037, China; 3. Key Laboratory of Offshore Geotechnics and Material of Zhejiang Province, Zhejiang University, Zhejiang Hangzhou 310058, China; 4. Research Center for Urban Fire Safety Engineering, Zhejiang University, Zhejiang Hangzhou 310058, China)
  • Online:2024-09-15 Published:2024-09-15

Abstract: Critical velocity is an important indicator of the smoke control design for longitudinal ventilation tunnel fires. Currently, two calculation methods, i.e., the critical Froude model (recommended by the World Road Association, PIARC) and the piecewise function model (recommended by National Fire Protection Association, NFPA) are widely adopted in practice. Nevertheless, the calculation result of the two models shows a significant difference, causing confusion and disagreement regarding tunnel fire safety design. This work analyzes the differences between the PIARC equation and the NFPA equation under various heat release rates, tunnel widths, and tunnel heights, respectively and the reasons are discussed in detail. Then, the smoke control performances and feasibilities of these two models are compared with a set of numerical simulations, full-scale and reduced-scale test data. Results show that the PIARC equation fails to describe the correlation between critical velocity and heat release rate due to the fixed Frc value and unrealistic uniform mixing assumption. The PIARC equation will underestimate the critical velocity and the error increases with the tunnel aspect ratio. The NFPA formula comprehensively considers the impact of the relationship between the fire plume and the tunnel structure on critical velocity. Therefore, the prediction shows a better smoke control performance and agrees well with physical test data. Moreover, realistic factors, e.g., blockage, altitude, fire source rising, and lateral locations will also affect the value of critical velocity and should be considered in future work.

Key words: tunnel fire, longitudinal ventilation, critical velocity, full-scale test, numerical simulation, feasibility