Skip to main content
Log in

Wind-induced pressure at a tunnel portal

  • Original Article
  • Published:
Environmental Fluid Mechanics Aims and scope Submit manuscript

Abstract

In order to properly size the mechanical ventilation system of a tunnel, it is essential to estimate the wind-driven pressure difference that might rise between its two portals. In this respect, we explore here the pressure distribution over a tunnel portal under the influence of an incident atmospheric boundary layer and, in particular, its dependency on wind direction and on tunnel geometry. Reduced scale models of generic configurations of a tunnel portal are studied in an atmospheric wind tunnel. Pressure distributions over the front section of different open cavities are measured with surface taps, which allows us to infer the influence of the tunnel aspect ratio and wind direction on a pressure coefficient \(C_{P}\), defined as a spatially and time averaged non-dimensional pressure. Experiments reveal that the magnitude of the coefficient \(C_{P}\), as a function of the wind direction, is significantly influenced by the portal height-to-width ratio and almost insensitive to its length. The experimental data set is completed by hot-wire anemometry measurements providing vertical distribution of velocity statistics. The same configurations are simulated by numerically solving the Reynolds-averaged Navier–Stokes equations, adopting the standard \(k - \varepsilon\) turbulence model. Despite some discrepancies between numerical and experimental estimates of some flow parameters (namely the turbulent kinetic energy field), the numerical estimates of the pressure coefficients \(C_{P}\) show very good agreement with experimental data. The latter is also compared to the predictions of an analytical model, based on the estimate of a spatially averaged velocity within an infinitely long street canyon. The results of the model, which takes into account varying canyon aspect ratios, are in reasonable agreement with experimental data for all cases studied. Notably, its predictions are significantly better than those provided by the simple analytical relations usually adopted as a reference in tunnel ventilation studies.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  1. CETU (2003) Les dossiers pilotes du CETU—Ventilation

  2. Cóstola D, Blocken B, Hensen JLM (2009) Overview of pressure coefficient data in building energy simulation and airflow network programs. Build Environ 44(10):2027–2036

    Article  Google Scholar 

  3. Liddament MW (1994) An overview of the AIVC numerical data base. Air Infiltration Rev. 15(4):1–5

    Google Scholar 

  4. ASHRAE (2009) ASHRAE Handbook-Fundamentals

  5. AIPCR (1999) Fire and smoke control in road tunnels. Piarc, pp 1–6

  6. Nyman H, Sandberg M (2011) The influence of external wind in tunnels. Int J Vent 10(1):31–48

    Article  Google Scholar 

  7. Blendermann W (1976) On a probabilistic approach to the influence of wind on the longitudinal ventilation of road tunnels. In 2nd international symposium on the aerodynamics and ventilation of vehicle tunnels, pp B1–1

  8. Soulhac L, Perkins RJ, Salizzoni P (2008) Flow in a street canyon for any external wind direction. Boundary-Layer Meteorol 126(3):365–388

    Article  Google Scholar 

  9. Geograph® Britain and Ireland. http://www.geograph.org.uk/

  10. Irwin HPAH (1981) The design of spires for wind simulation. J Wind Eng Ind Aerodyn 7:361–366

    Article  Google Scholar 

  11. Jimenez J (2004) Turbulent flows over rough walls. Annu Rev Fluid Mech 36(1):173–196

    Article  Google Scholar 

  12. Nironi C, Salizzoni P, Marro M, Mejean P, Grosjean N, Soulhac L (2015) Dispersion of a passive scalar fluctuating plume in a turbulent boundary layer. Part I: velocity and concentration measurements. Boundary-Layer Meteorol 156(3):415–446

    Article  Google Scholar 

  13. Hinze JO (1975) Turbulence. McGraw-Hill, New York

    Google Scholar 

  14. Blocken B, Stathopoulos T, Carmeliet J, Hensen J (2011) Application of CFD in building performance simulation for the outdoor environment: an overview. J Build Perform Simul 4(2):157–184

    Article  Google Scholar 

  15. Yakhot V, Orszag SA, Thangam S, Gatski TB, Speziale CG (1992) Development of turbulence models for shear flows by a double expansion technique. Phys Fluids A Fluid Dyn 4(7):1510–1520

    Article  Google Scholar 

  16. Shih T-H, Liou WW, Shabbir A, Yang Z, Zhu J (1995) A new k–ε eddy viscosity model for high reynolds number turbulent flows. Comput Fluids 24(3):227–238

    Article  Google Scholar 

  17. Bardina J, Huang P, Coakley T (1997) Turbulence modeling validation, testing, and development. NASA Tech. Mem., no. 110446

  18. Murakami S, Mochida A (1988) 3-D numerical simulation of airflow around a cubic model by means of the k–ε{lunate} model. J Wind Eng Ind Aerodyn 31(2–3):283–303

    Article  Google Scholar 

  19. Summers DM, Hanson T, Wilson CB (1986) Validation of a computer simulation of wind flow over a building model. Build Environ 21(2):97–111

    Article  Google Scholar 

  20. Paterson DA, Apelt CJ (1986) Computation of wind flows over three-dimensional buildings. J Wind Eng Ind Aerodyn 24(3):193–213

    Article  Google Scholar 

  21. Paterson DA, Apelt CJ (1989) Simulation of wind flow around three-dimensional buildings. Build Environ 24(1):39–50

    Article  Google Scholar 

  22. Baetke F, Werner H, Wengle H (1990) Numerical simulation of turbulent flow over surface-mounted obstacles with sharp edges and corners. J Wind Eng Ind Aerodyn 35(C):129–147

    Article  Google Scholar 

  23. Franke J, Hellsten A, Schlünzen H, Carissimo B (2007) “Best practice guideline for the CFD simulation of flows in the urban environment. COST Off. Brussels, ISBN 3-00-018312-4

  24. Tominaga Y et al (2008) AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings. J Wind Eng Ind Aerodyn 96(10–11):1749–1761

    Article  Google Scholar 

  25. Hargreaves DM, Wright NG (2007) On the use of the k–ε model in commercial CFD software to model the neutral atmospheric boundary layer. J Wind Eng Ind Aerodyn 95(5):355–369

    Article  Google Scholar 

  26. Blocken B, Stathopoulos T, Carmeliet J (2007) CFD simulation of the atmospheric boundary layer—wall function problems. Atmos Environ 41(2):238–252

    Article  Google Scholar 

  27. Riddle A, Carruthers D, Sharpe A, McHugh C, Stocker J (2004) Comparisons between FLUENT and ADMS for atmospheric dispersion modelling. Atmos Environ 38(7):1029–1038

    Article  Google Scholar 

  28. Lien F-S, Yee E (2004) Numerical modelling of the turbulent flow developing within and over a 3-D building array, Part I: a high-resolution Reynolds-averaged Navier–Stokes approach. Boundary-Layer Meteorol 112(3):427–466

    Article  Google Scholar 

  29. Dobre A et al (2005) Flow field measurements in the proximity of an urban intersection in London, UK. Atmos Environ 39(26):4647–4657

    Article  Google Scholar 

  30. Nikuradse J (1950) Laws of flow in rough pipes. J Appl Phys 3:399

    Google Scholar 

  31. Hansen FV (1993) Surface roughness lengths. Army Res. Lab., no. AD-A274 550

  32. Hiziroglu S, Suzuki S (2007) Evaluation of surface roughness of commercially manufactured particleboard and medium density fiberboard in Japan. J Mater Process Technol 184(1–3):436–440

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to P. Salizzoni.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kubwimana, T., Salizzoni, P., Bergamini, E. et al. Wind-induced pressure at a tunnel portal. Environ Fluid Mech 18, 769–786 (2018). https://doi.org/10.1007/s10652-018-9589-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10652-018-9589-5

Keywords

Navigation