Multi-parameter coupling mechanisms of smoke back-layering in asymmetric V-shaped tunnel fires driven by stack-buoyancy effects

Underwater tunnels are often designed with asymmetric V-shaped longitudinal profiles to accommodate complex geological and hydraulic conditions. During tunnel fires, high-temperature smoke exhibits flow behavior distinct from that in horizontal tunnels because of the combined effects of asymmetric stack pressure and thermal buoyancy. Slope-induced thermal differences can substantially alter the upstream smoke back-layering length, which is a critical parameter for tunnel ventilation and smoke-extraction design. Therefore, smoke back-layering characteristics in asymmetric V-shaped sloped tunnel fires are investigated through 120 simulation cases in which the heat release rate (HRR), tunnel slope, and downstream gradient length range from 5–50 MW, 3%–8%, and 600–1200 m, respectively. The results indicate that higher HRRs and steeper slopes significantly reduce the smoke back-layering length, whereas increasing the downstream gradient length produces only a weak suppressive effect. Asymmetric longitudinal slopes increase the bilateral difference in stack pressure and promote buoyancy-driven directional smoke exhaust, thereby more effectively suppressing smoke back-layering. Under matched boundary conditions, slope asymmetry reduced the smoke back-layering length by approximately 22% on average compared with the corresponding symmetric configurations, although the reduction magnitude varied with HRR and slope combination. Furthermore, the dimensionless back-layering length is found to follow a negative power-law relationship with the primary influencing factors. A multi-factor coupled prediction model is developed to provide a reliable tool for tunnel ventilation design and fire safety optimization.

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Publication Details

Journal
International Journal of Heat and Fluid Flow
Published
2026-09-11
DOI
https://doi.org/10.1016/j.ijheatfluidflow.2026.110703
Primary Topic
Fire dynamics and safety research
Type
article
Field-Weighted Citation Impact
0.00

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article

Multi-parameter coupling mechanisms of smoke back-layering in asymmetric V-shaped tunnel fires driven by stack-buoyancy effects

Kaihua Lu, Xiaowei Kong, Jie Wang, Rui Ke et al.
International Journal of Heat and Fluid Flow
Fire dynamics and safety research
article

Multi-parameter coupling mechanisms of smoke back-layering in asymmetric V-shaped tunnel fires driven by stack-buoyancy effects

Kaihua Lu, Xiaowei Kong, Jie Wang, Rui Ke, Yong Wang, Yi Chai
article en

Abstract

Underwater tunnels are often designed with asymmetric V-shaped longitudinal profiles to accommodate complex geological and hydraulic conditions. During tunnel fires, high-temperature smoke exhibits flow behavior distinct from that in horizontal tunnels because of the combined effects of asymmetric stack pressure and thermal buoyancy. Slope-induced thermal differences can substantially alter the upstream smoke back-layering length, which is a critical parameter for tunnel ventilation and smoke-extraction design. Therefore, smoke back-layering characteristics in asymmetric V-shaped sloped tunnel fires are investigated through 120 simulation cases in which the heat release rate (HRR), tunnel slope, and downstream gradient length range from 5–50 MW, 3%–8%, and 600–1200 m, respectively. The results indicate that higher HRRs and steeper slopes significantly reduce the smoke back-layering length, whereas increasing the downstream gradient length produces only a weak suppressive effect. Asymmetric longitudinal slopes increase the bilateral difference in stack pressure and promote buoyancy-driven directional smoke exhaust, thereby more effectively suppressing smoke back-layering. Under matched boundary conditions, slope asymmetry reduced the smoke back-layering length by approximately 22% on average compared with the corresponding symmetric configurations, although the reduction magnitude varied with HRR and slope combination. Furthermore, the dimensionless back-layering length is found to follow a negative power-law relationship with the primary influencing factors. A multi-factor coupled prediction model is developed to provide a reliable tool for tunnel ventilation design and fire safety optimization.

International Journal of Heat and Fluid FlowVol. 122
China University of Geosciences (CN), Wuhan Technical College of Communications (CN), Wuhan University of Science and Technology (CN)
National Natural Science Foundation of China
Sustainable cities and communities
Openalex Percentile: Top 11%
Fire dynamics and safety research
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