A Mixed Convection Model for Estimating the Critical Velocity to Prevent Smoke Backlayering in Tunnels

Abstract A novel mathematical model for the critical ventilation velocity to prevent smoke backlayering in tunnels is presented, addressing limitations of prior approaches. The basis of the model is a rigorous characterisation of the physical processes by the characteristic quantities. Empirical parameters within the new model are determined, to align with results from both full-size and small-scale tunnel experiments. Data from numerical simulations (CFD, Computational Fluid Dynamics), validated by known test data, are then used to estimate the effects of tunnel slope and other parameters on the critical velocity. The model is seen to approximate the critical velocity well, following all trends identified by test data and CFD parameter studies. The empirically calibrated equation permits prediction of the critical velocity beyond the narrow range of tunnel geometries where known results already give an answer. The resulting equation has practical application for tunnel design.

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Publication Details

Journal
Fire Technology
Published
2024-09-09
DOI
https://doi.org/10.1007/s10694-024-01607-8
Citations
2
Primary Topic
Fire dynamics and safety research
Type
article
Field-Weighted Citation Impact
0.73

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article

A Mixed Convection Model for Estimating the Critical Velocity to Prevent Smoke Backlayering in Tunnels

Günter Brenn, Conrad Stacey, Michael Beyer
2 citations
Fire Technology
Fire dynamics and safety research
0.73
article

A Mixed Convection Model for Estimating the Critical Velocity to Prevent Smoke Backlayering in Tunnels

Günter Brenn, Conrad Stacey, Michael Beyer
article en
2 citations

Abstract

Abstract A novel mathematical model for the critical ventilation velocity to prevent smoke backlayering in tunnels is presented, addressing limitations of prior approaches. The basis of the model is a rigorous characterisation of the physical processes by the characteristic quantities. Empirical parameters within the new model are determined, to align with results from both full-size and small-scale tunnel experiments. Data from numerical simulations (CFD, Computational Fluid Dynamics), validated by known test data, are then used to estimate the effects of tunnel slope and other parameters on the critical velocity. The model is seen to approximate the critical velocity well, following all trends identified by test data and CFD parameter studies. The empirically calibrated equation permits prediction of the critical velocity beyond the narrow range of tunnel geometries where known results already give an answer. The resulting equation has practical application for tunnel design.

Fire TechnologyVol. 61(2)
Carnegie Endowment for International Peace (US), IP Australia (AU), Graz University of Technology (AT)
TU Graz, Internationale Beziehungen und Mobilitätsprogramme
Openalex Percentile: Top 30%
Fire dynamics and safety research
0.73
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