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A CFD MODEL FOR SIMULATING URBAN FLOW IN COMPLEX MORPHOLOGICAL STREET NETWORK

Year 2012, Volume: 2 Issue: 1, 1 - 10, 23.07.2016

Abstract

The present study considers an investigations of urban flow in complex morphological street network that is coincidentally similar to ancient Algeria city namely Ghardaïa. This study shows how one can apply a CFD model to simulate the air flow behavior in this urban area. The computational fluid dynamics software, Fluent 6.3.26 is employed to determine velocity field traversing the streets. Information on the layouts of buildings in the selected area is contained in Google earth. The AC3D 6.5.28, with its programming facility, has been used to extract the geometry of each building polygon under research. These are then cleaned by Materialise Magics and input into Gambit 2.4.6 the Fluent’s mesh generation software to construct the simulations. Finally, a steady-state simulation results are drawn from the velocity field profile

References

  • AC3D 6.5.28 copyright © 2009 Inivis ltd. Fluent 6.3.26, (2006). Ansys Inc.
  • Franke,J., Hirsch,C., Jensen,A., Krüs,M.,W., Schatzmann,M., Westbury,P.,S., Miles,S.,D., Wisse, J.A., Wright,
  • N.,G. (2004)Recommendations on the use of CFD in wind engineering. In: van Beeck, J.P.A.J. (Ed.), COST Action C14, Impact of Wind and Storm on City Life Built Environment. Proceedings of the International Conference on Urban Wind Engineering and Building Aerodynamics, 5–7.
  • Franke, J. (2006). Recommendations of the COST action C14 on the use of CFD in predicting pedestrian wind environment. The Fourth International Symposium on Computational Wind Engineering, Yokohama, Japan, July.
  • Google Earth Version 4.2 2007.
  • Gambit 2.4.6, (2004). Ansys Inc.
  • Hang,J. ,Sandberg,M., Yuguo Li. (2009). Effect of urban morphology on wind condition in idealized city models /Atmospheric Environment 43 870 869–878.
  • Hall R., C. Evaluation of modeling uncertainty – CFD modeling of near-field atmospheric dispersion. (1996).
  • Project EMU final report.WS Atkins Consultants Ltd, UK. Jal. E(2003). Applying CFD to environmental flows. Report of Connell Wagner Pty Ltd, Australia, Materialise Magics Version 12.0.1.2 2007
  • Mochida.A, Tominaga.Y, S.Murakami.S, Yoshie.R, Ishihara.T, Ooka.R, (2002). Comparison of various models and DSM applied to flow around a high-rise building. Report on AIJ cooperative project for CFD prediction of wind environment. Wind Struct. 5 (2–4), 227–244.
  • Neophytou,M., Britter,R. (2005).Modeling the wind flow in complex urban topographies: A computational-fluiddynamics simulation of the central London area. 5 th GRACM International Congress on Computational Mechanics Limassol,
  • Patankar.S, Spalding.D. (1972). A calculation procedure for heat, mass and momentum transfer in three-dimensional parabolic flows. International Journal of heat and mass transfer, Vol. 15.
  • Robitu.M, Musy.M, Inard.C , Dominique Groleau. (2006). Modeling the influence of vegetation and water pond on urban microclimate / Solar Energy 80 435–447
  • Skote,M., Sandberg,M. U.Westerberg, (2005). Numerical and experimental studies of wind environment in an urban morphology. Atmospheric Environment 39,6147–6158.
  • Shirasawa.T, Tominaga.T, Yoshie.T, Mochida.R, Yoshino.A, Kataoka.H, H. Nozu, T. (1960).
  • Development of CFD method for predicting wind environment around a high-rise building part 2: the cross comparison of CFD results using various models for the flow field around a building model with 4:4:1 shape.
  • AIJ J. Technol. Des. 18, 169–174.
  • Vitruvius, M.P. The Ten Books of Architecture. Dover, New York. (2003). Development of CFD method for predicting wind environment around a high-rise building part 2: the cross comparison of CFD results using various models for the flow field around a building model with 4:4:1 shape.
  • AIJ J. Technol. Des. 18, 169–174.
  • Yoshie.R, Mochida.A, Tominaga.Y, Kataoka.Y, Harimoto.K, Nozu.T, Shirasawa.T.(2004). Cooperative project for CFD prediction of pedestrian wind environment in Architectural Institute of Japan. J. Wind Eng. Ind. Aerodyn. 95, 1551–1578.
Year 2012, Volume: 2 Issue: 1, 1 - 10, 23.07.2016

Abstract

References

  • AC3D 6.5.28 copyright © 2009 Inivis ltd. Fluent 6.3.26, (2006). Ansys Inc.
  • Franke,J., Hirsch,C., Jensen,A., Krüs,M.,W., Schatzmann,M., Westbury,P.,S., Miles,S.,D., Wisse, J.A., Wright,
  • N.,G. (2004)Recommendations on the use of CFD in wind engineering. In: van Beeck, J.P.A.J. (Ed.), COST Action C14, Impact of Wind and Storm on City Life Built Environment. Proceedings of the International Conference on Urban Wind Engineering and Building Aerodynamics, 5–7.
  • Franke, J. (2006). Recommendations of the COST action C14 on the use of CFD in predicting pedestrian wind environment. The Fourth International Symposium on Computational Wind Engineering, Yokohama, Japan, July.
  • Google Earth Version 4.2 2007.
  • Gambit 2.4.6, (2004). Ansys Inc.
  • Hang,J. ,Sandberg,M., Yuguo Li. (2009). Effect of urban morphology on wind condition in idealized city models /Atmospheric Environment 43 870 869–878.
  • Hall R., C. Evaluation of modeling uncertainty – CFD modeling of near-field atmospheric dispersion. (1996).
  • Project EMU final report.WS Atkins Consultants Ltd, UK. Jal. E(2003). Applying CFD to environmental flows. Report of Connell Wagner Pty Ltd, Australia, Materialise Magics Version 12.0.1.2 2007
  • Mochida.A, Tominaga.Y, S.Murakami.S, Yoshie.R, Ishihara.T, Ooka.R, (2002). Comparison of various models and DSM applied to flow around a high-rise building. Report on AIJ cooperative project for CFD prediction of wind environment. Wind Struct. 5 (2–4), 227–244.
  • Neophytou,M., Britter,R. (2005).Modeling the wind flow in complex urban topographies: A computational-fluiddynamics simulation of the central London area. 5 th GRACM International Congress on Computational Mechanics Limassol,
  • Patankar.S, Spalding.D. (1972). A calculation procedure for heat, mass and momentum transfer in three-dimensional parabolic flows. International Journal of heat and mass transfer, Vol. 15.
  • Robitu.M, Musy.M, Inard.C , Dominique Groleau. (2006). Modeling the influence of vegetation and water pond on urban microclimate / Solar Energy 80 435–447
  • Skote,M., Sandberg,M. U.Westerberg, (2005). Numerical and experimental studies of wind environment in an urban morphology. Atmospheric Environment 39,6147–6158.
  • Shirasawa.T, Tominaga.T, Yoshie.T, Mochida.R, Yoshino.A, Kataoka.H, H. Nozu, T. (1960).
  • Development of CFD method for predicting wind environment around a high-rise building part 2: the cross comparison of CFD results using various models for the flow field around a building model with 4:4:1 shape.
  • AIJ J. Technol. Des. 18, 169–174.
  • Vitruvius, M.P. The Ten Books of Architecture. Dover, New York. (2003). Development of CFD method for predicting wind environment around a high-rise building part 2: the cross comparison of CFD results using various models for the flow field around a building model with 4:4:1 shape.
  • AIJ J. Technol. Des. 18, 169–174.
  • Yoshie.R, Mochida.A, Tominaga.Y, Kataoka.Y, Harimoto.K, Nozu.T, Shirasawa.T.(2004). Cooperative project for CFD prediction of pedestrian wind environment in Architectural Institute of Japan. J. Wind Eng. Ind. Aerodyn. 95, 1551–1578.
There are 20 citations in total.

Details

Other ID JA56TK94BF
Journal Section Articles
Authors

Saddok Houda This is me

Noureddine Zemmouri This is me

Abdelmalek Hasseine This is me

Rachid Athmani This is me

Rafik Belarbi This is me

Publication Date July 23, 2016
Published in Issue Year 2012 Volume: 2 Issue: 1

Cite

APA Houda, S., Zemmouri, N., Hasseine, A., Athmani, R., et al. (2016). A CFD MODEL FOR SIMULATING URBAN FLOW IN COMPLEX MORPHOLOGICAL STREET NETWORK. TOJSAT, 2(1), 1-10.
AMA Houda S, Zemmouri N, Hasseine A, Athmani R, Belarbi R. A CFD MODEL FOR SIMULATING URBAN FLOW IN COMPLEX MORPHOLOGICAL STREET NETWORK. TOJSAT. July 2016;2(1):1-10.
Chicago Houda, Saddok, Noureddine Zemmouri, Abdelmalek Hasseine, Rachid Athmani, and Rafik Belarbi. “A CFD MODEL FOR SIMULATING URBAN FLOW IN COMPLEX MORPHOLOGICAL STREET NETWORK”. TOJSAT 2, no. 1 (July 2016): 1-10.
EndNote Houda S, Zemmouri N, Hasseine A, Athmani R, Belarbi R (July 1, 2016) A CFD MODEL FOR SIMULATING URBAN FLOW IN COMPLEX MORPHOLOGICAL STREET NETWORK. TOJSAT 2 1 1–10.
IEEE S. Houda, N. Zemmouri, A. Hasseine, R. Athmani, and R. Belarbi, “A CFD MODEL FOR SIMULATING URBAN FLOW IN COMPLEX MORPHOLOGICAL STREET NETWORK”, TOJSAT, vol. 2, no. 1, pp. 1–10, 2016.
ISNAD Houda, Saddok et al. “A CFD MODEL FOR SIMULATING URBAN FLOW IN COMPLEX MORPHOLOGICAL STREET NETWORK”. TOJSAT 2/1 (July 2016), 1-10.
JAMA Houda S, Zemmouri N, Hasseine A, Athmani R, Belarbi R. A CFD MODEL FOR SIMULATING URBAN FLOW IN COMPLEX MORPHOLOGICAL STREET NETWORK. TOJSAT. 2016;2:1–10.
MLA Houda, Saddok et al. “A CFD MODEL FOR SIMULATING URBAN FLOW IN COMPLEX MORPHOLOGICAL STREET NETWORK”. TOJSAT, vol. 2, no. 1, 2016, pp. 1-10.
Vancouver Houda S, Zemmouri N, Hasseine A, Athmani R, Belarbi R. A CFD MODEL FOR SIMULATING URBAN FLOW IN COMPLEX MORPHOLOGICAL STREET NETWORK. TOJSAT. 2016;2(1):1-10.