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LES of wind environments in urban residential areas based on an inflow turbulence generating approach

  • Shen, Lian (School of Civil Engineering and Architecture, Changsha University of Science & Technology) ;
  • Han, Yan (School of Civil Engineering and Architecture, Changsha University of Science & Technology) ;
  • Cai, C.S. (Department of Civil and Environmental Engineering, Louisiana State University) ;
  • Dong, Guochao (School of Civil Engineering and Architecture, Changsha University of Science & Technology) ;
  • Zhang, Jianren (School of Civil Engineering and Architecture, Changsha University of Science & Technology) ;
  • Hu, Peng (School of Civil Engineering and Architecture, Changsha University of Science & Technology)
  • Received : 2015.08.07
  • Accepted : 2016.11.03
  • Published : 2017.01.25

Abstract

Wind environment in urban residential areas is an important index to consider when evaluating the living environment. However, due to the complexity of the flow field in residential areas, it is difficult to specify the correct inflow boundary conditions in the large eddy simulation (LES). In this paper, the weighted amplitude wave superposition (WAWS) is adopted to simulate the fluctuating velocity data, which satisfies the desired target wind field. The fluctuating velocity data are given to the inlet boundary of the LES by developing an UDF script, which is implemented into the FLUENT. Then, two numerical models - the empty numerical wind tunnel model and the numerical wind tunnel model with spires and roughness elements are established based on the wind tunnel experiment to verify the present method. Finally, the turbulence generation approach presented in this paper is used to carry out a numerical simulation on the wind environment in an urban residential area in Lisbon. The computational results are compared with the wind tunnel experimental data, showing that the numerical results in the LES have a good agreement with the experimental results, and the simulated flow field with the inlet fluctuations can generate a reasonable turbulent wind field. It also shows that strong wind velocities and turbulent kinetic energy occur at the passageways, which may affect the comfort of people in the residential neighborhood, and the small wind velocities and vortexes appear at the leeward corners of buildings, which may affect the spreading of the pollutants.

Keywords

Acknowledgement

Supported by : National Science Foundation of China, Education Department of Hunan Province

References

  1. ANSYS(R) Academic Research, Release 15.0.
  2. Britter R.E. and Hanna S.R. (2003), "Flow and dispersion in urban area", Annu. Rev. Fluid. Mech., 35, 469-495. https://doi.org/10.1146/annurev.fluid.35.101101.161147
  3. Castro H.G. and Paz R.R. (2012), "A time and space correlated turbulence synthesis method for large eddy simulations", J. Comput. Phys., 235, 742-763.
  4. Chen, Z., Han, Y., Hua, X. and Luo, Y. (2009), "Investigation on influence factors of buffeting response of bridges and its aeroelastic model verification for Xiaoguan Bridge", Eng. Struct., 31, 417-431. https://doi.org/10.1016/j.engstruct.2008.08.016
  5. Chung Y.M. and Sung H.J. (1997), "Comparative study of inflow conditions for spatially evolving simulation", AIAA J., 35(2), 269-274. https://doi.org/10.2514/2.117
  6. Cui G.X., Zhang Z.X. and Xu C.X. (2013), "Research advances in large eddy simulation of urban atmospheric environment", J. Adv. Mech., 43(3), 295-328. (in Chinese)
  7. Cui, G.X., Shi, R.F., Wang, Z.S, Xu, C.X. and Zhang, Z.X. (2008), "Large eddy simulation of urban micro-atmospheric environment", J. Sci. china, 38(6), 626-636. (in Chinese)
  8. Deodatis, G. (1996), "Simulation of ergodic multivariate stochastic processes engineering mechanics", J. Eng. Mech., 122(8), 778-787. https://doi.org/10.1061/(ASCE)0733-9399(1996)122:8(778)
  9. Di Paola, M. (1998), "Digital simulation of wind field velocity", J. Wind. Eng. Ind. Aerod., 74-76, 91-109. https://doi.org/10.1016/S0167-6105(98)00008-7
  10. Ding, Q., Zhu, L. and Xiang, H. (2006), "Simulation of stationary Gaussian stochastic wind velocity field", Wind Struct., 9(3), 231-243. https://doi.org/10.12989/was.2006.9.3.231
  11. Ferreira, A.D., Sousa, A.C.M. and Viegas, D.X. (2002), "Prediction of building interference effects on pedestrian level comfort", J. Wind Eng. Ind. Aerod., 90, 305-319. https://doi.org/10.1016/S0167-6105(01)00212-4
  12. Fureby, C. (1996), "On subgrid scale modeling in large eddy simulations of compressible fluid flow", J. Phys. Fluids, 8, 1301-1311. https://doi.org/10.1063/1.868900
  13. Germano, M., Piomelli, U., Moin, P. and Cabot, W.H. (1991), "A dynamics subgrid-scale eddy viscosity model", J. Phys. Fluids, 3(7), 1760-1765. https://doi.org/10.1063/1.857955
  14. Gousseau, P., Blocken, B. and van Heijst, G.J.F. (2012), "CFD simulation of pollutant dispersion around isolated buildings: On the role of convective and turbulent mass fluxes in the prediction accuracy", J. Hazardous Mater., 194, 422-434.
  15. Han, Y. (2007), "Study on Complex Aerodynamic Admittance Functions and Refined Analysis of Buffeting Response of Bridge", Hunan university doctoral dissertation. (in Chinese)
  16. Hanna, S.R., Tehranian, S., Carissimo, B., MacDonald, R.W. and Lohner, R. (2002), "Comparisons of model simulations with observations of mean flow and turbulence within simple obstacle arrays", J. Atmosph. Environ., 36, 5067-5079. https://doi.org/10.1016/S1352-2310(02)00566-6
  17. Hemon, P. and Santi, F. (2007), "Simulation of a spatially correlated turbulent velocity field using biorthogonal decomposition", J. Wind Eng. Ind. Aerod., 95(1), 21-29. https://doi.org/10.1016/j.jweia.2006.04.003
  18. Hoshiya, M. (1972), "Simulation of multi-correlated random processes and application to structural vibration problems", Proceedings of JSCE, 204, 121-128.
  19. Huang, S.H., Li, Q.S. and Wu, J.R. (2010), "A general inflow turbulence generator for large eddy simulation", J .Wind Eng. Ind. Aerod., 98, 600-617. https://doi.org/10.1016/j.jweia.2010.06.002
  20. Iwatani, Y. (1982), "Simulation of multidimensional wind fluctuations having any arbitrary power spectra and cross spectra", J. Wind Eng. Jpn., 11, 5-18.
  21. Jiang, G., Yoshie, R., Shirasawa, T. and Jin, X. (2012), "Inflow turbulence generation for large eddy simulation in non-isothermal boundary layers", J. Wind Eng. Ind. Aerod., 104(106), 369-378.
  22. Jiang, W.M. and Miao, S.G. (2004), "30 years review and perspective of the research on the large eddy simulation and atmospheric boundary layer", J. Adv. Natural Sci., 14, 11-19. (in Chinese)
  23. Kataoka, H. and Mizuno, M. (2002), "Numerical flow computation around aeroelastic 3D square cylinder using inflow turbulence", Wind Struct., 5(2-4), 379-392. https://doi.org/10.12989/was.2002.5.2_3_4.379
  24. Keating, A., Piomelli, U., Balaras, E. and Kaltenbach, H.J. (2004), "A priori and a posteriori tests of inflow conditions for large-eddy simulation", J. Phys. Fluids, 16, 46-96.
  25. Kondo, H., Asahi, K., Tomizuka, T. and Suzuki, M. (2006), "Numerical analysis of diffusion around a suspended expressway by a multi-scale CFD model", J. Atmosph. Environ., 40, 2852-2859. https://doi.org/10.1016/j.atmosenv.2006.01.012
  26. Kondo, K., Murakami, S. and Mochida, A.,(1997), "Generation of velocity fluctuations for inflow boundary condition of LES", J. Wind Eng. Ind. Aerod., 67-68, 51-64. https://doi.org/10.1016/S0167-6105(97)00062-7
  27. Kraichnan, R.H. (1970), "Diffusion by a random velocity field", J. Phys. Fluids, 13(1), 22-31. https://doi.org/10.1063/1.1692799
  28. Liu, Z., Ishihara, T., He, X. and Niu, H. (2016b), "LES study on the turbulent flow fields over complex terrain covered by vegetation canopy", J .Wind Eng. Ind. Aerod., 155, 60-73. https://doi.org/10.1016/j.jweia.2016.05.002
  29. Liu, Z., Ishihara, T., Tanaka, T. and He, X. (2016a), "LES study of turbulent flow fields over a smooth 3-D hill and a smooth 2-D ridge", J .Wind Eng. Ind. Aerod., 153, 1-12. https://doi.org/10.1016/j.jweia.2016.03.001
  30. Lund, T.S., Wu, X.H. and Squires, K.D. (1998), "Generation of turbulent inflow data for spatially-developing boundary layer simulations", J. Comput. Phys., 140, 233-258. https://doi.org/10.1006/jcph.1998.5882
  31. Mann, J. (1998), "Wind field simulation", Probabilist. Eng Mech., 13, 269-282. https://doi.org/10.1016/S0266-8920(97)00036-2
  32. Maruyama, T. and Morikawa, H. (1994), "Numerical simulation of wind fluctuation conditioned by experimental data in turbulent boundary layer", Proceedings of the 13th Symposium on Wind Engineering.
  33. Mathey, F., Cokljat, D., Bertoglio, J.P. and Sergent, E. (2006), "Assessment of the vortex method for large eddy simulation inlet conditions", Prog. Comput. Fluid Dy., 6, 59-67.
  34. Ministry of Housing and Urban-Rural Development (MOHUR), "Code for green design of civil buildings", JGJT229-2010, China.
  35. Noda, H. and Nakayama, A. (2003), "Reproducibility of flow past two-dimensional rectangular cylinders in a homogeneous turbulent flow by LES", J. Wind Eng. Ind. Aerod., 91, 265-278 https://doi.org/10.1016/S0167-6105(02)00350-1
  36. Nozawa, K. and Tamura, T. (2002), "Large eddy simulation of the flow around a low-rise building immersed in a rough-wall turbulent boundary layer", J. Wind Eng. Ind. Aerod., 90, 1151-1162. https://doi.org/10.1016/S0167-6105(02)00228-3
  37. Pang, J.B. and Lin, Z.X. and Chen, Y. (2004), "Discussion on the simulation of atmospheric boundary layer with spires and roughness elements in wind tunnels", Exp. Meas. Fluid Mech., 18(2), 32-37. (in Chinese)
  38. Shinozuka, M., Yun, C.B. and Seya, H. (1990). "Stochastic methods in wind engineering", J. Wind. Eng. Ind. Aerod., 36(90), 829-843. https://doi.org/10.1016/0167-6105(90)90080-V
  39. Smirnov, R., Shi, S. and Celik, I. (2001), "Random flow generation technique for large eddy simulations and particle-dynamics modeling", J. Fluid. Eng. -T ASME, 123, 359-371. https://doi.org/10.1115/1.1369598
  40. Tabor, G.R and Baha-Ahmadi, M.H. (2010), "Inlet conditions for large eddy simulation: a review", Comput. Fluids, 39(4), 553-567. https://doi.org/10.1016/j.compfluid.2009.10.007
  41. Tamura, T. (2000), "Towards practical use of LES in wind engineering", J. Wind Eng. Ind. Aerod., 96 (10-11), 1451-1471. https://doi.org/10.1016/j.jweia.2008.02.034
  42. Tamura, T., Tsubokura, M., Cao, S. and Furusawa, T. (2003), "LES of spatially-developing stable/unstable stratified turbulent boundary layers", Direct Large-Eddy Simul., 5, 65-66.
  43. Tominaga, Y., Mochida, A., Murakami, S. and Sawaki, S. (2008), "Comparison of various revised k- 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, 389-411. https://doi.org/10.1016/j.jweia.2008.01.004
  44. Wang, D., Yu, X.J., Zhou, Y. and Tse, K.T. (2015), "A combination method to generate fluctuating boundary conditions for large eddy simulation", Wind Struct., 20(4), 579-607. https://doi.org/10.12989/was.2015.20.4.579
  45. Xie, Z.T. and Castro, I.P. (2008), "Efficient generation of inflow conditions for large eddy simulation of street-scale flows", Flow Turbul. Combust., 81, 449-470. https://doi.org/10.1007/s10494-008-9151-5
  46. Yan, B.W. and Li, Q.S. (2015), "Inflow turbulence generation methods with large eddy simulation for wind effects on tall buildings", Comput. Fluids, 116, 158-175. https://doi.org/10.1016/j.compfluid.2015.04.020
  47. Yu, R.X. and Bai, X.S. (2014), "A fully divergence-free method for generation of inhomogeneous and anisotropic turbulence with large spatial variation", J. Comput Phys., 256: 234-253. https://doi.org/10.1016/j.jcp.2013.08.055

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