Wind and Structures

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A 6 m cube in an atmospheric boundary layer flow -Part 2. Computational solutions

  • Richards, P.J. (Environment Group, Silsoe Research Institute) ;
  • Quinn, A.D. (Environment Group, Silsoe Research Institute) ;
  • Parker, S. (Division of Environmental Health & Risk Management, University of Birmingham)
  • Published : 2002.04.25
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Abstract

Computation solutions for the flow around a cube, which were generated as part of the Computational Wind Engineering 2000 Conference Competition, are compared with full-scale measurements. The three solutions shown all use the RANS approach to predict mean flow fields. The major differences appear to be related to the use of the standard $k-{\varepsilon}$, the MMK $k-{\varepsilon}$ and the RNG $k-{\varepsilon}$ turbulence models. The inlet conditions chosen by the three modellers illustrate one of the dilemmas faced in computational wind engineering. While all modeller matched the inlet velocity profile to the full-scale profile, only one of the modellers chose to match the full-scale turbulence data. This approach led to a boundary layer that was not in equilibrium. The approach taken by the other modeller was to specify lower inlet turbulent kinetic energy level, which are more consistent with the turbulence models chosen and lead to a homogeneous boundary layer. For the $0^{\circ}$ case, wind normal to one face of the cube, it is shown that the RNG solution is closest to the full-scale data. This result appears to be associated with the RNG solution showing the correct flow separation and reattachment on the roof. The other solutions show either excessive separation (MMK) or no separation at all (K-E). For the $45^{\circ}$ case the three solutions are fairly similar. None of them correctly predicting the high suctions along the windward edges of the roof. In general the velocity components are more accurately predicted than the pressures. However in all cases the turbulence levels are poorly matched, with all of the solutions failing to match the high turbulence levels measured around the edges of separated flows. Although all of the computational solutions have deficiencies, the variability of results is shown to be similar to that which has been obtained with a similar comparative wind tunnel study. This suggests that the computational solutions are only slightly less reliable than the wind tunnel.

Keywords

References

  1. Baetke, F. and Werner, H. (1990), "Numerical simulation of turbulent flow over surface-mounted obstacles with sharp edges and corners", J. Wind Eng. Ind. Aerod., 35, 129-147. https://doi.org/10.1016/0167-6105(90)90213-V
  2. Castro, I.P. and Robins, A.G. (1977), "The flow around a surface mounted cube in uniform and turbulent streams", J. Fluid Mech., 79, 307-335. https://doi.org/10.1017/S0022112077000172
  3. Craft, T.J. Launder, B.E. and Suga, K. (1996), "Development and application of a cubic eddy-viscosity model of turbulence", Int. J. Heat Fluid Flow, 17(2), 108-115. https://doi.org/10.1016/0142-727X(95)00079-6
  4. Delaunay, D. Lakehal D. and Pierrat, D. (1995), "Numerical approach for wind loads prediction on buildings and structures", J. Wind Eng. Ind. Aerod., 57, 307-321. https://doi.org/10.1016/0167-6105(94)00112-Q
  5. Easom G. (2000), "Improved turbulence models for computational wind engineering", PhD thesis, School of Civil Eng., The University of Nottingham, UK.
  6. Hall, R. (eds) (1997), "Evaluation of modelling uncertainty", Final project report for EU contract EV5V-CT94- 0531, WS Atkins Consultants Ltd., Epsom, UK.
  7. He, J. and Song, C.C.S. (1992), "Computation of turbulent shear flow over surface mounted obstacle", J. Eng. Mech., ASCE, 118(11), 2282-2297. https://doi.org/10.1061/(ASCE)0733-9399(1992)118:11(2282)
  8. 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., 74-76, 599-608. https://doi.org/10.1016/S0167-6105(98)00054-3
  9. Hoxey, R.P. Richards, P.J. and Short, L. (2002), "A 6 m cube in an atmospheric boundary layer flow: Part 1. Full scale and wind tunnel results", Wind and Structures, 5(2-4), 165-176. https://doi.org/10.12989/was.2002.5.2_3_4.165
  10. Kawamoto, S. (1997), "Improved turbulence models for estimation of wind loading", J. Wind Eng. Ind. Aerod., 67-68, 589-599. https://doi.org/10.1016/S0167-6105(97)00102-5
  11. Kawamoto, S. and Tanahashi, T. (1994), "High-speed GSMAC-FEM for wind engineering", Comput. Methods Appl. Mech. Eng., 112, 219-226. https://doi.org/10.1016/0045-7825(94)90027-2
  12. Launder, B.E. and Spalding, D.B. (1974), "The numerical computation of turbulent flows", Comput. Methods Appl. Mech. Eng., 3, 269-289. https://doi.org/10.1016/0045-7825(74)90029-2
  13. Lee, S. and Bienkiewicz, B. (1997), "Large eddy simulation of wind effects on bluff bodies using the finite element method", J. Wind Eng. Ind. Aerod., 67-68, 601-609. https://doi.org/10.1016/S0167-6105(97)00103-7
  14. Leschziner, M.A. (1995), "Modelling turbulence in physically complex flows", Invited keynote lecture, XXVI IAHR Congress "Hydra 2000", London.
  15. Lien, F.S. and Leschziner, M.A. (1996), "Second-moment closure for three-dimensional turbulent flow around and within complex geometries", Comput. Fluids, 25(3) 237-262. https://doi.org/10.1016/0045-7930(95)00034-8
  16. Mikkelsen, A.C. and Livesey, F.M. (1995), "Evaluation of the use of the numerical $K-{\varespilon}$ model Kameleon II, for predicting wind pressures on building surfaces", J. Wind Eng. Ind. Aerod., 57, 375-389. https://doi.org/10.1016/0167-6105(95)00007-E
  17. Murakami, S. (1997), "Current status and future trends in computational wind engineering", J. Wind Eng. Ind. Aerod., 67-68, 3-34. https://doi.org/10.1016/S0167-6105(97)00230-4
  18. Murakami, S. and Mochida, A. (1988), "3-D numerical simulations of airflow around a cubic model by means of the ${\kappa}-{\varepsilon}$ model", J. Wind Eng. Ind. Aerod., 31, 283-303. https://doi.org/10.1016/0167-6105(88)90009-8
  19. Murakami, S. Mochida, A. and Hibi, K. (1987), "3-dimensional numerical-simulation of air-flow around a cubic model by means of large eddy simulation", J. Wind Eng. Ind. Aerod., 25(3), 291-305. https://doi.org/10.1016/0167-6105(87)90023-7
  20. Paterson, D.A. and Apelt, C.J. (1990), "Simulation of flow past a cube in a turbulent boundary layer", J. Wind Eng. Ind. Aerod., 35, 149-176. https://doi.org/10.1016/0167-6105(90)90214-W
  21. Richards, P.J. and Hoxey, R.P. (1993), "Appropriate boundary conditions for computational wind engineering models using the ${\kappa}-{\varepsilon}$ turbulence model", J. Wind Eng. Ind. Aerod., 46&47, 145-153.
  22. Richards, P.J. and Younis, B.A. (1990), "Comments on 'Prediction of Wind Generated Pressure Distribution around Buildings' by E.H. Matthews", J. Wind Eng. Ind. Aerod. 34, 107-110. https://doi.org/10.1016/0167-6105(90)90152-3
  23. Shah, K.B. and Ferziger, J.H. (1997), "A fluid mechanicians view of wind engineering: Large eddy simulation of flow past a cubic obstacle", J. Wind Eng. Ind. Aerod., 67-68, 211-224. https://doi.org/10.1016/S0167-6105(97)00074-3
  24. Speziale, C.G. (1987), "On nonlinear ${\kappa}-1$ and ${\kappa}-{\varepsilon}$ models of turbulence", J. Fluid Mech., 178, 459-475. https://doi.org/10.1017/S0022112087001319
  25. Stathopoulos, T. (1997), "Computational 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
  26. Thomas, T.G. and Williams, J.J.R. (1999), "Large eddy simulation of vortex shedding from cubic obstacle", J. Aerospace Eng., 12(4), 113-121. https://doi.org/10.1061/(ASCE)0893-1321(1999)12:4(113)
  27. Tsuchiya, M., Murakami, S., Mochida, A., Kondo, K. and Ishida, Y. (1997), "Development of a new ${\kappa}-{\varepsilon}$ model for flow and pressure fields around bluff body", J. Wind Eng. Ind. Aerod., 67-68, 169-182. https://doi.org/10.1016/S0167-6105(97)00071-8
  28. Wiik, T. (1999), "Wind loads on low rise buildings", Doctoral dissertation, Norwegian University of Science and Technology, Trodheim, Norway.
  29. Yakhot, V. and Orszag, S.A. (1986), "Renormalization group analysis of turbulence", J. Scientific Computing, 1(1), 3-51. https://doi.org/10.1007/BF01061452

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