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Computational assessment of blockage and wind simulator proximity effects for a new full-scale testing facility

  • Bitsuamlak, Girma T. (Laboratory for Wind Engineering Research, International Hurricane Research Center, Department of Civil and Environmental Engineering, Florida International University) ;
  • Dagnew, Agerneh (Laboratory for Wind Engineering Research, International Hurricane Research Center, Department of Civil and Environmental Engineering, Florida International University) ;
  • Chowdhury, Arindam Gan (Laboratory for Wind Engineering Research, International Hurricane Research Center, Department of Civil and Environmental Engineering, Florida International University)
  • Received : 2009.03.23
  • Accepted : 2009.08.27
  • Published : 2010.01.25

Abstract

A new full scale testing apparatus generically named the Wall of Wind (WoW) has been built by the researchers at the International Hurricane Research Center (IHRC) at Florida International University (FIU). WoW is capable of testing single story building models subjected up to category 3 hurricane wind speeds. Depending on the relative model and WoW wind field sizes, testing may entail blockage issues. In addition, the proximity of the test building to the wind simulator may also affect the aerodynamic data. This study focuses on the Computational Fluid Dynamics (CFD) assessment of the effects on the quality of the aerodynamic data of (i) blockage due to model buildings of various sizes and (ii) wind simulator proximity for various distances between the wind simulator and the test building. The test buildings were assumed to have simple parallelepiped shapes. The computer simulations were performed under both finite WoW wind-field conditions and in an extended Atmospheric Boundary Layer (ABL) wind flow. Mean pressure coefficients for the roof and the windward and leeward walls served as measures of the blockage and wind simulator proximity effects. The study uses the commercial software FLUENT with Reynolds Averaged Navier Stokes equations and a Renormalization Group (RNG) k-${\varepsilon}$ turbulence model. The results indicated that for larger size test specimens (i.e. for cases where the height of test specimen is larger than one third of the wind field height) blockage correction may become necessary. The test specimen should also be placed at a distance greater than twice the height of the test specimen from the fans to reduce proximity effect.

Keywords

References

  1. Bitsuamlak, G.T. (2006), "Application of computational wind engineering: A practical perspective", Third National Conf. in Wind Engineering, January 5-7, Kolkata, India.
  2. Bitsuamlak, G.T., Gan Chowdhury, A. and Sambare, D. (2009), "Application of a full-scale testing facility for assessing wind-driven rain intrusion", Build. Environ., 44, 2430-2441. https://doi.org/10.1016/j.buildenv.2009.04.009
  3. Bitsuamlak, G.T., Stathopoulos, T. and Bédard, C. (2006), "Effect of upstream hills on design wind load: a computational approach", Wind Struct., 9(1), 37-58. https://doi.org/10.12989/was.2006.9.1.037
  4. Bitsuamlak, G.T., Stathopoulos, T. and Bédard, C. (2004), "Numerical evaluation of turbulent flows over complex terrains: A review", J. Aerospace Eng., 17(4), 135-145. https://doi.org/10.1061/(ASCE)0893-1321(2004)17:4(135)
  5. Blocken, B. and Carmeliet, J. (2008), "Pedestrian wind conditions at outdoor platforms in a high-rise apartment building: generic sub-configuration validation, wind comfort assessment and uncertainty issues", Wind Struct., 11(1), 51-70. https://doi.org/10.12989/was.2008.11.1.051
  6. Blocken, B. and Carmeliet, J. (2004), "A Review of Wind-driven Rain Research in Building Science", J. Wind Eng. Ind. Aerod., 92(13), 1079-1130. https://doi.org/10.1016/j.jweia.2004.06.003
  7. Camarri, S., Salvetti, M.V., Koobus, B. and Dervieux, A. (2005), "Hybrid RANS/LES simulations of a bluffbody flow", Wind Struct., 8(6), 407-426. https://doi.org/10.12989/was.2005.8.6.407
  8. Chang, C. (2006), "Computational fluid dynamics simulation of pedestrian wind in urban area with the effects of tree", Wind Struct., 9(2), 147-158. https://doi.org/10.12989/was.2006.9.2.147
  9. Choi, E.C.C. (2000), "Variation of Wind-driven Rain Intensity with Building Orientation", J. Arch. Eng., 6, 122–130. https://doi.org/10.1061/(ASCE)1076-0431(2000)6:4(122)
  10. Costola, D., Blocken, B. and Hensen, J.L.M. (2009), "Overview of pressure coefficient data in building energy simulation and airflow network programs", Build. Environ., 44, 2027-2036. https://doi.org/10.1016/j.buildenv.2009.02.006
  11. El-Okda, Y.M., Ragab, S.A. and Hajj, M.R. (2008), "Large-eddy simulation of flow over a surface-mounted prism using a high-order finite-difference scheme", J. Wind Eng. Ind. Aerod., 96(6-7), 900-912 https://doi.org/10.1016/j.jweia.2007.06.017
  12. Franke, J., Hellsten, A., Schlunzen, H. and Carissimo, B. (2007), Best practice guideline for the CFD simulation of flows in the urban environment, COST Office Brussels, ISBN 3-00-018312-4.
  13. Gan Chowdhury, A., Bitsuamlak, G.T. and Simiu, E. (2009a), "Aerodynamic, hydro-aerodynamic, and destructive testing", J. Struct. Build., accepted for publication.
  14. Gan Chowdhury, A., Simiu, E. and Leatherman, S.P. (2009b), "Destructive Testing under Simulated Hurricane Effects to Promote Hazard Mitigation", Nat. Hazards Review J. ASCE, 10(1), 1-10. https://doi.org/10.1061/(ASCE)1527-6988(2009)10:1(1)
  15. Hangan, H. and Kim, J.D. (2008), "Swirl ratio effects on tornado vortices in relation to the Fujita scale", Wind Struct., 11(4), 291-302. https://doi.org/10.12989/was.2008.11.4.291
  16. Holscher, N. and Niemann, H.J. (1998), "Towards quality assurance for wind tunnel tests: A comparative testing program of the Windtechnologische Gesellschaft", J. Wind Eng. Ind. Aerod., 74, 599-608. https://doi.org/10.1016/S0167-6105(98)00054-3
  17. Huang, H., Kato, S. and Ooka, R. (2006), "CFD analysis of ventilation efficiency around an elevated highway using visitation frequency and purging flow rate", Wind Struct., 9(4), 297-313. https://doi.org/10.12989/was.2006.9.4.297
  18. Huang, P., Gan Chowdhury, A., Bitsuamlak, G.T. and Liu, R. (2009), "Development of Devices and Methods for Simulation of Hurricane Winds in a Full-Scale Testing Facility", Wind Struct., 12(2), 151-177. https://doi.org/10.12989/was.2009.12.2.151
  19. Huang, P., Liu, R., Gan Chowdhury, A., Bitsuamlak, G., Erwin, J. and Ahmed, S.S. (2008), "Turbulence Simulation of Small-Scale Wall of Wind Flows", Proc. of the 4th Int. Conf. on Advances in Wind and Structures, Jeju, Korea.
  20. Jiang, D., Jiang, W., Liu, H. and Sun, J. (2008), "Systematic influence of different building spacing, height and layout on mean wind and turbulent characteristics within and over urban building arrays", Wind Struct., 11(4), 275-289. https://doi.org/10.12989/was.2008.11.4.275
  21. Lam, K.M. and To, A.P. (2006), "Reliability of numerical computation of pedestrian-level wind environment around a row of tall buildings", Wind Struct., 9(6), 473-492. https://doi.org/10.12989/was.2006.9.6.473
  22. Lin, W.E. and Savory, E. (2006), "Large-scale quasi-steady modelling of a downburst outflow using a slot jet", Wind Struct., 9(6), 419-440. https://doi.org/10.12989/was.2006.9.6.419
  23. Lim, C.H., Thomas, T.G. and Castro, I.P. (2009), "Flow around a cube in a turbulent boundary layer: LES and experiment", J. Wind Eng. Ind. Aerod., 97, 96-109. https://doi.org/10.1016/j.jweia.2009.01.001
  24. Merrick, R. and Bitsuamlak, G.T. (2008), "Control of flow around a circular cylinder by the use of surface roughness", 4th Int. Conf., Advances on Wind and Structures (AWAS08), Jeju, Korea.
  25. Moonen, P., Blocken, B. and Carmeliet, J. (2006), "Numerical modeling of the flow conditions in a closedcircuit low-speed wind tunnel", J. Wind Eng. Ind. Aerod., 94, 966-23.
  26. Moonen, P., Blocken, B. and Carmeliet, J. (2007), "Indicator for the evaluation of wind tunnel test section flow quality and application to a numerical closed-circuit wind tunnel", J. Wind Eng. Ind. Aerod., 94, 1289-1314.
  27. Murakami, S. and Mochida, A. (1988), "3-D numerical simulation of airflow around a cubic model by means of the k-$\varepsilon$ model" J. Wind Eng. Ind. Aerod., 31, 283-303. https://doi.org/10.1016/0167-6105(88)90009-8
  28. Okajima, A., Yi, D., Sakuda, A. and Nakano, T. (1997), "umerical study of blockage effects on aerodynamic characteristics of an oscillating rectangular cylinder" J. Wind Eng. Ind. Aerod., 67&68, 91-102
  29. Richards, P.J., Hoxey, R.P., Connell, B.D. and Lander, D.P. (2007), "ind-tunnel modelling of the Silsoe Cube" J. Wind Eng. Ind. Aerod., 95, 1384-1399. https://doi.org/10.1016/j.jweia.2007.02.005
  30. Selvam, S.P. (1997), "omputation of pressures on Texas Tech university building using large eddy simulation" J. Wind Eng. Ind. Aerod., 67&68, 647-657.
  31. Sengupta, A. and Sarkar, P.P. (2008), "xperimental measurement and numerical simulation of an impinging jet with application to thunderstorm microburst winds" J. Wind Eng. Ind. Aerod., 96(3), 345-365. https://doi.org/10.1016/j.jweia.2007.09.001
  32. Stathopoulos, T. (1997), "omputational wind engineering: Past achievements and future challenges" J. Wind Eng. Ind. Aerod., 67-68, 509-532. https://doi.org/10.1016/S0167-6105(97)00097-4
  33. Stathopoulos, T. (2003), "ind loads on low buildings: in the wake of Alan Davenport's contributions" J. Wind Eng. Ind. Aerod., 91(12-15), 1565-1585. https://doi.org/10.1016/j.jweia.2003.09.019
  34. Stathopoulos, T. and Wu, H. (2004), "sing Computational Fluid Dynamics (CFD) for pedestrian winds" Proc. of the 2004 Structures Congress, Nashville, TN.
  35. Tamura, T., Nozawa, K. and Kondo, K. (2008), "IJ guide for numerical prediction of wind loads on buildings" J. Wind Eng. Ind. Aerod., 96, 1974-1984. https://doi.org/10.1016/j.jweia.2008.02.020
  36. Tamura, T. (2006), "owards practical use of LES in wind engineering" The fourth Int. Symp. in Computational Wind Engineering (CWE2006), Yokohama, Japan.
  37. Tominaga, Y., Mochida, A., Murakami, S. and Sawaki, S. (2008a), "omparison of various revised k-$\varepsilon$ models and LES applied to flow around a high-rise building model with 1:1:2 shape placed within the surface boundary layer" J. Wind Eng. Ind. Aerod., 96(4), 389-411.
  38. Tominaga, Y., Mochida, A., Yoshie, R., Kataoka, H., Nozu,T., Yoshikawa, M. and Shirasawa, T. (2008b), "IJ guidelines for practical applications of CFD to pedestrian wind environment around buildings" J. Wind Eng. Ind. Aerod., 96, 1749-1761. https://doi.org/10.1016/j.jweia.2008.02.058
  39. Tutar, M. and Celik, I. (2007), "arge eddy simulation of a square cylinder flow: Modelling of inflow turbulence" Wind Struct., 10(6), 511-532. https://doi.org/10.12989/was.2007.10.6.511
  40. Wright, N.G. and Easom, G.J. (2003), "on-linear k-$\varepsilon$ turbulence model results for flow over a building at fullscale" Appl. Math. Model., 27(12), 1013-1033. https://doi.org/10.1016/S0307-904X(03)00123-9
  41. Zhang, N., Jiang, W. and Miao, S. (2006), " large eddy simulation on the effect of buildings on urban flows" Wind Struct., 9(1), 23-35. https://doi.org/10.12989/was.2006.9.1.023

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