Wind and Structures

Techno-Press (테크노프레스)
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Wind flow simulations in idealized and real built environments with models of various level of complexity

  • Abdi, Daniel S. (Department of Civil and Environment Engineering, University of Western Ontario) ;
  • Bitsuamlak, Girma T. (Department of Civil and Environment Engineering, University of Western Ontario)
  • Received : 2015.06.10
  • Accepted : 2016.02.13
  • Published : 2016.04.25
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Abstract

The suitability of Computational Fluid Dynamics (CFD) simulations on the built environment for the purpose of estimating average roughness characteristics and for studying wind flow patterns within the environment is assessed. Urban models of various levels of complexity are considered including an empty domain, array of obstacles arranged in regular and staggered manners, in-homogeneous roughness with multiple patches, a semi-idealized built environment, and finally a real built environment. For each of the test cases, we conducted CFD simulations using RANS turbulence closure and validated the results against appropriate methods: existing empirical formulas for the homogeneous roughness case, empirical wind speed models for the in-homogeneous roughness case, and wind tunnel tests for the semi-idealized built environment case. In general, results obtained from the CFD simulations show good agreement with the corresponding validation methods, thereby, giving further evidence to the suitability of CFD simulations for built environment studies consisting of wide-ranging roughness. This work also provides a comprehensive overview of roughness modeling in CFD-from the simplest approach of modeling roughness implicitly through wall functions to the most elaborate approach of modeling roughness explicitly for the sake of accurate wind flow simulations within the built environment.

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References

  1. Abdi, D. and Bitsuamlak, G. (2014a), "Numerical evaluation of the effect of multiple roughness changes", Wind Struct., 19(6), 585-601. https://doi.org/10.12989/was.2014.19.6.585
  2. Abdi, D. and Bitsuamlak, G. (2014b), "Wind flow simulations on idealized and real complex terrain using various turbulence models", Adv. Eng. Softw., 75, 30-41. https://doi.org/10.1016/j.advengsoft.2014.05.002
  3. Aboshosha, H., Bitsuamlak, G. and Damatty, A.E. (2015), "LES of ABL flow in the built-environment using roughness modeled by fractal surfaces", Sustainable Cities Soc., 19, 46-60. https://doi.org/10.1016/j.scs.2015.07.003
  4. Asghari, M. (2014), "Experimental and analytical methodologies for predicting peak loads on building envelopes and roofing systems", PhD thesis, Florida International University.
  5. Blocken, B. and Carmeliet, J. (2002), "Spatial and temporal distribution of driving rain on a low-rise building", Wind Struct., 5(5), 441-462. https://doi.org/10.12989/was.2002.5.5.441
  6. Blocken, B. and Carmeliet, J. (2004a), "Pedestrian wind environment around buildings: Literature review and practical examples", J. Therm. Envcir. Build. Phys., 28(2), 107-159. https://doi.org/10.1177/1097196304044396
  7. Blocken, B. and Carmeliet, J. (2004b), "A review of wind-driven rain research in building science", J. Wind Eng. Ind. Aero., 92(13), 1079-1130. https://doi.org/10.1016/j.jweia.2004.06.003
  8. Blocken, B., Janssen, W. and Hooff, T. (2011), "CFD simulation for pedestrian wind comfort and wind safety in urban areas: General decision framework and case study for the Eindhoven university campus", Environ. Model. Softw., 28, 15-34.
  9. Blocken, B., Stathopoulos, T. and Carmeliet, J. (2007), "CFD simulation of the atmospheric boundary layer: wall function problems", Atmospher. Envir. 41(2), 238-252. https://doi.org/10.1016/j.atmosenv.2006.08.019
  10. Blocken, B., Stathopoulos, T., Carmeliet, J. and Hensen, J. (2011), "Application of CFDin building performance simulation for the outdoor environment: an overview", J. Build. Perform. Simulation 4(2), 157-184. https://doi.org/10.1080/19401493.2010.513740
  11. CEDVAL-LES (2011), "Compilation of experimental data for validation of micro-scale dispersion models", Meteorological Institute, University of Hamburg, Germany. URL: http://www.mi.zmaw.de/index.php?id=6339
  12. Counihan, J. (1971), "Wind tunnel determination of the roughness length as a function of the fetch and roughness density of three dimensional roughness elements", Atmospher. Envir. 5(8), 637-642. https://doi.org/10.1016/0004-6981(71)90120-X
  13. Davenport, A., Grimmond, C., Oke, T. andWieringa, J. (2000), "Estimating the roughness of cites and sheltered country", Proceedings of the 12th American Meteorological Society Conference On Applied Climatology.
  14. ESDU-82026 (1993), Strong winds in the atmospheric boundary layer, Part 1: hourly-mean wind speeds, Engineering Science Data Unit.
  15. Franke, J. and Hirsch, C. (2004), "Recommendations on the use of CFD in wind engineering", Proceedings of the International Conference in Urban Wind Engineering and Building Aerodynamics.
  16. Hall, D., Macdonald, R., Walker, S. and Spanton, A. (1996), "Measurements of dispersion within simulated urban arrays: A small scale wind tunnel study", BRE Client Report CR 178/96.
  17. Hansen, F. (1993), "Surface roughness lengths", ARL Technical Report U.S. Army, White Sands Missile Range, NM 88002-5501.
  18. Hargreaves, D. and Wright, N. (2007), "On the use of k-epsilon model in commercial CFD software to model the atmospheric boundary layer", J. Wind Eng. Ind. Aerod., 95, 355-369. https://doi.org/10.1016/j.jweia.2006.08.002
  19. Hertwig, D., Efthimiou, G., Bartzis, J. and Leitl, B. (2012), "CFD-RANS model validation of turbulent flow in a semi-idealized urban canopy", J. Wind Eng. Ind. Aerod., 111, 61-72. https://doi.org/10.1016/j.jweia.2012.09.003
  20. Huang, H., Ooka, R., Chen, H., Kato, S., Takahashi, T. and Watanabe, T. (2008), "CFD analysis on trafficinduced air pollutant dispersion under non-isothermal condition in a complex urban area in winter", J. Wind Eng. Ind. Aerod., 96(10), 1774-1788. https://doi.org/10.1016/j.jweia.2008.02.010
  21. Lettau, H. (1969), "Note on aerodynamic roughness parameter estimation on the basis of roughness element description", J. Appl. Meteorol., 8(5), 828-833. https://doi.org/10.1175/1520-0450(1969)008<0828:NOARPE>2.0.CO;2
  22. Lo, A. (1990), "On the determination of zero-plane displacement height and roughness length for flow over forest canopies", Bound. Layer Meteorol., 51(3), 225-268.
  23. MacDonald, R., Griffiths, R. and Hall, D. (1998), "An improved method for the estimation of surface roughness of obstacle arrays", Atmos. Environ., 32(11), 1857-1864. https://doi.org/10.1016/S1352-2310(97)00403-2
  24. Martinez, B. (2011), "Wind resource in complex terrain with openfoam", Master's thesis, Technical University of Denmark.
  25. Miller, C. and Davenport, A. (1998), "Guidelines for the calculation of wind speed ups in complex terrain", J. Wind Eng. Ind. Aerod., 74-76, 189-197. https://doi.org/10.1016/S0167-6105(98)00016-6
  26. OpenFOAM (2013), "Openfoam, the open source CFD toolbox". URL: http://www.openfoam.com/
  27. O'Sullivan, J., Archer, R. and Flay, R. (2011), "Consistent boundary conditions for flows within the atmospheric boundary layer", J. Wind Eng. Ind. Aerod., 99(9), 66-67.
  28. Revuz, J., Hargreaves, D. and Owen, J. (2013), "On the domain size for the steady-state cfd modelling of a tall building", Wind Struct., 15(4), 313-329. https://doi.org/10.12989/was.2012.15.4.313
  29. Richards, P. and Hoxey, R. (1993), "Appropriate boundary conditions for computational wind engineering models using the k-epsilon turbulence model", J. Wind Eng. Ind. Aerod., 46, 145-153.
  30. Tang, W. and Davidson, C. (2004), "Erosion of limestone surfaces caused by wind-driven rain: Numerical modeling", Atmos. Environ., 38(33), 5601-5609. https://doi.org/10.1016/j.atmosenv.2004.06.014
  31. Theurer, W. (1993), "Dispersion of ground level emissions in complex built-up areas", PhD thesis, University of Karlsruhe.
  32. Tominaga, Y. and Stathopoulos, T. (2011), "CFD modeling of pollution dispersion in a street canyon: Comparison between les and rans", J. Wind Eng. Ind. Aerod., 99(4), 340-348. https://doi.org/10.1016/j.jweia.2010.12.005
  33. Wang, K. and Stathopoulos, T. (2007), "Exposure model for wind loading of buildings", J. Wind Eng. Ind. Aerod., 95(9-11), 1511-1525. https://doi.org/10.1016/j.jweia.2007.02.016
  34. Wieringa, J. (1993), "Representative roughness parameters for homogeneous terrain", Bound. Lay. Meteorol., 63(4), 323-363. https://doi.org/10.1007/BF00705357
  35. Wright, N. and Hargreaves, D. (2013), Environmental applications of Computational Fluid Dynamics, second edn, John Wiley and Sons.

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