Wind and Structures

Techno-Press (테크노프레스)
권호 표지
DOI QR코드

DOI QR Code

Numerical flow computation around aeroelastic 3D square cylinder using inflow turbulence

  • Kataoka, Hiroto (Technical Research Institute, Obayashi Corporation) ;
  • Mizuno, Minoru (Department of Environmental Engineering, Osaka University)
  • Published : 2002.04.25
⟨ Previous Next ⟩

Abstract

Numerical flow computations around an aeroelastic 3D square cylinder immersed in the turbulent boundary layer are shown. Present computational code can be characterized by three numerical aspects which are 1) the method of artificial compressibility is adopted for the incompressible flow computations, 2) the domain decomposition technique is used to get better grid point distributions, and 3) to achieve the conservation law both in time and space when the flow is computed a with moving and transformed grid, the time derivatives of metrics are evaluated using the time-and-space volume. To provide time-dependant inflow boundary conditions satisfying prescribed time-averaged velocity profiles, a convenient way for generating inflow turbulence is proposed. The square cylinder is modeled as a 4-lumped-mass system and it vibrates with two-degree of freedom of heaving motion. Those blocks which surround the cylinder are deformed according to the cylinder's motion. Vigorous oscillations occur as the vortex shedding frequency approaches cylinder's natural frequencies.

Keywords

References

  1. Chorin, A.J. (1967), "A numerical method for solving incompressible viscous flow problems", J. Comp. Physics, 2, 12-26. https://doi.org/10.1016/0021-9991(67)90037-X
  2. Jeong, J. and Hussain, F. (1995), "On the identification of a vortex", J Fluid. Mech., 285, 69-94. https://doi.org/10.1017/S0022112095000462
  3. Jordan, S.A. (1999), "A Large-eddy simulation methodology in generalized curvilinear coordinates", J. Comp. Physics, 148, 332-340.
  4. Kataoka, H. and Mizuno, M. (1997), "Numerical method of multiblock computation for flow around complex building", J. Archit. Plann. Environ. Eng., Trans. AIJ, 495, 53-60.
  5. Kataoka, H. and Mizuno, M. (1998), "Numerical simulation of separating flow around a body using artificial compressibility method ", J. Archit. Plann. Environ. Eng., Trans. AIJ, 504, 63-70.
  6. Kondo, K., Mochida, A., Murakami, S. and Tsuchiya, M. (1998), "Generation of inflow turbulence for LES of turbulent boundary layer (in Japanese)", J. Struct. Constr. Eng., Trans. AIJ, 509, 33-40.
  7. Lund, T.S. et al. (1998), "Generation of turbulent inflow data for spatially-developing boundary layer simulations", J. Comp. Physics, 140, 233-258. https://doi.org/10.1006/jcph.1998.5882
  8. Lyn, D.A. and Rodi, W. (1994), "The flapping shear layer formed by flow separation from the forward corner of a square cylinder", J. Fluid Mech., 267, 353-376. https://doi.org/10.1017/S0022112094001217
  9. Maruyama, Y., Taniike, Y. and Nishimura, H. (1996), "Unsteady aerodynamic pressure on a high-rise building oscillating in the transverse direction (in Japanese)", J. Struct. Constr. Eng., Trans. AIJ, 504, 31-37.
  10. Maruyama, Y. and Maruyama, T. (1999), "Large eddy simulation of turbulent flow around a 3d-rectangular prism using artificially generated inflow (in Japanese)", J. Struct. Constr. Eng., Trans. AIJ, 520, 37-43.
  11. Meng, Y. and Hibi, K. (1998), "Turbulent measurements of the flow field around a high-rise building (in Japanese)", J. Wind Eng., 76, 55-64.
  12. Murakami, S., Iizuka, S., Mochida, A. and Tominaga, Y. (1997), "LES analysis on turbulent flow past 2D square cylinder using various dynamic SGS models", Seisan-Kenkyu, 49(1), 39-45.
  13. Rogers, S.E., Kwak, D. and Kiris, C. (1991), "Steady and unsteady solutions of the incompressible Navier-Stokes equations", AIAA J., 29(4), 603-610. https://doi.org/10.2514/3.10627
  14. Rosenfeld, M. and Kwak, D. (1991), "Time-dependent solutions of viscous incompressible flows in moving coordinates", Int. J. Nmerical Methods in Fluids, 13, 1311-1328. https://doi.org/10.1002/fld.1650131008
  15. Tamura, T., Tsuboi, K. and Kuwahara, K. (1988), "Numerical simulation of unsteady flow patterns around a vibrating cylinder", AIAA paper 88-0128.
  16. Tamura, Y. and Fujii, K. (1993), "Conservation law for moving and transformed grids", AIAA paper 93-3365.
  17. Thomas, P.D. and Lombard, C.K. (1979), "Geometric conservation law and its application to flow computations on moving grids", AIAA J. 17, 1030-1037. https://doi.org/10.2514/3.61273

Cited by

  1. CFD modeling of pollution dispersion in a street canyon: Comparison between LES and RANS vol.99, pp.4, 2011, https://doi.org/10.1016/j.jweia.2010.12.005
  2. Generation of inflow turbulence using the local differential quadrature method vol.122, 2013, https://doi.org/10.1016/j.jweia.2013.06.004
  3. Cross Comparisons of CFD Results of Wind Environment at Pedestrian Level around a High-rise Building and within a Building Complex vol.3, pp.1, 2004, https://doi.org/10.3130/jaabe.3.63
  4. Ten questions concerning modeling of near-field pollutant dispersion in the built environment vol.105, 2016, https://doi.org/10.1016/j.buildenv.2016.06.027
  5. Large-eddy simulation of urban boundary-layer flows by generating turbulent inflows from mesoscale meteorological simulations vol.13, pp.3, 2012, https://doi.org/10.1002/asl.377
  6. Development of local-scale high-resolution atmospheric dispersion model using large-eddy simulation. Part 4: turbulent flows and plume dispersion in an actual urban area vol.51, pp.5, 2014, https://doi.org/10.1080/00223131.2014.885400
  7. Effects of Unstable Stratification on Ventilation in Hong Kong vol.8, pp.9, 2017, https://doi.org/10.3390/atmos8090168
  8. The impact of stable atmospheric boundary layers on wind-turbine wakes within offshore wind farms vol.144, 2015, https://doi.org/10.1016/j.jweia.2014.12.011
  9. POD Analysis of a Wind Turbine Wake in a Turbulent Atmospheric Boundary Layer vol.524, 2014, https://doi.org/10.1088/1742-6596/524/1/012153
  10. An artificial compressibility based characteristic based split (CBS) scheme for steady and unsteady turbulent incompressible flows vol.195, pp.23-24, 2006, https://doi.org/10.1016/j.cma.2004.09.017
  11. Numerical simulations of a wind-induced vibrating square cylinder within turbulent boundary layer vol.96, pp.10-11, 2008, https://doi.org/10.1016/j.jweia.2008.02.061
  12. A new large-eddy simulation model for simulating air flow and warm clouds above highly complex terrain. Part I: The dry model vol.125, pp.1, 2007, https://doi.org/10.1007/s10546-007-9183-8
  13. Towards a Simplified DynamicWake Model Using POD Analysis vol.8, pp.12, 2015, https://doi.org/10.3390/en8020895
  14. Performance of various sub-grid scale models in large-eddy simulations of turbulent flow over complex terrain vol.38, pp.40, 2004, https://doi.org/10.1016/j.atmosenv.2003.12.050
  15. Effects of inflow turbulence and slope on turbulent boundary layer over two-dimensional hills vol.19, pp.2, 2014, https://doi.org/10.12989/was.2014.19.2.219
  16. Flow and contaminant dispersion analysis around a model building using non-linear eddy viscosity model and large eddy simulation vol.14, pp.5, 2017, https://doi.org/10.1007/s13762-016-1204-z
  17. Interaction between turbulent flow and sea breeze front over urban-like coast in large-eddy simulation vol.122, pp.10, 2017, https://doi.org/10.1002/2016JD026247
  18. Large-eddy simulation of vortex streets and pollutant dispersion behind high-rise buildings vol.143, pp.708, 2017, https://doi.org/10.1002/qj.3120
  19. Inflow turbulence generation for large eddy simulation in non-isothermal boundary layers vol.104-106, 2012, https://doi.org/10.1016/j.jweia.2012.02.030
  20. Up-scaling CWE models to include mesoscale meteorological influences vol.99, pp.4, 2011, https://doi.org/10.1016/j.jweia.2011.01.012
  21. Air ventilation assessment under unstable atmospheric stratification — A comparative study for Hong Kong vol.130, 2018, https://doi.org/10.1016/j.buildenv.2017.12.018
  22. Large-eddy simulation of turbulent flow in a densely built-up urban area vol.15, pp.2, 2015, https://doi.org/10.1007/s10652-013-9306-3
  23. Impacts of Mesoscale Wind on Turbulent Flow and Ventilation in a Densely Built-up Urban Area vol.54, pp.4, 2015, https://doi.org/10.1175/JAMC-D-14-0044.1
  24. Numerical Investigation of Wind Conditions for Roof-Mounted Wind Turbines: Effects of Wind Direction and Horizontal Aspect Ratio of a High-Rise Cuboid Building vol.9, pp.12, 2016, https://doi.org/10.3390/en9110907
  25. Prediction of wind environment and thermal comfort at pedestrian level in urban area vol.96, pp.10-11, 2008, https://doi.org/10.1016/j.jweia.2008.02.033
  26. A New Large-Eddy Simulation Model for Simulating Air Flow and Warm Clouds Above Highly Complex Terrain. Part II: The Moist Model and its Application to Banner Clouds vol.133, pp.1, 2009, https://doi.org/10.1007/s10546-009-9419-x
  27. LES analysis of unsteady characteristics of conical vortex on a flat roof vol.96, pp.10-11, 2008, https://doi.org/10.1016/j.jweia.2008.02.021
  28. Effects of Time-Dependent Inflow Perturbations on Turbulent Flow in a Street Canyon 2017, https://doi.org/10.1007/s10546-017-0327-1
  29. Development ofLOcal-scaleHigh-resolution atmosphericDIspersionModel usingLarge-EddySimulation. Part 5: detailed simulation of turbulent flows and plume dispersion in an actual urban area under real meteorological conditions vol.53, pp.6, 2016, https://doi.org/10.1080/00223131.2015.1078262
  30. Computational evaluation of wind loads on a standard tall building using LES vol.18, pp.5, 2014, https://doi.org/10.12989/was.2014.18.5.567
  31. Inflow turbulence generation techniques for large eddy simulation of flow and dispersion around a model building in a turbulent atmospheric boundary layer vol.9, pp.6, 2016, https://doi.org/10.1080/19401493.2016.1196729
  32. Comparison of various revised k–ε models and LES applied to flow around a high-rise building model with 1:1:2 shape placed within the surface boundary layer vol.96, pp.4, 2008, https://doi.org/10.1016/j.jweia.2008.01.004
  33. Analysing urban ventilation in building arrays with the age spectrum and mean age of pollutants vol.131, 2018, https://doi.org/10.1016/j.buildenv.2018.01.010
  34. CFD simulations of gas dispersion around high-rise building in non-isothermal boundary layer vol.99, pp.4, 2011, https://doi.org/10.1016/j.jweia.2011.01.006
  35. The Numerical Analysis of the Capping Inversion Effect in a Convective Boundary Layer Flow on the Contaminant Gas Dispersion vol.15, 2015, https://doi.org/10.1016/j.proeps.2015.08.101
  36. Cholesky decomposition–based generation of artificial inflow turbulence including scalar fluctuation vol.159, 2017, https://doi.org/10.1016/j.compfluid.2017.09.005
  37. CFD Modeling of Pollution Dispersion in Building Array: Evaluation of turbulent scalar flux modeling in RANS model using LES results vol.104-106, 2012, https://doi.org/10.1016/j.jweia.2012.02.004
  38. Impact of Neutral Boundary-Layer Turbulence on Wind-Turbine Wakes: A Numerical Modelling Study vol.162, pp.3, 2017, https://doi.org/10.1007/s10546-016-0208-z
  39. Impact of the Diurnal Cycle of the Atmospheric Boundary Layer on Wind-Turbine Wakes: A Numerical Modelling Study 2017, https://doi.org/10.1007/s10546-017-0309-3
  40. Numerical simulation of dispersion around an isolated cubic building: Model evaluation of RANS and LES vol.45, pp.10, 2010, https://doi.org/10.1016/j.buildenv.2010.04.004
  41. CFD modelling of unsteady cross ventilation flows using LES vol.96, pp.10-11, 2008, https://doi.org/10.1016/j.jweia.2008.02.031
  42. Development of Local-Scale High-Resolution Atmospheric Dispersion Model Using Large-Eddy Simulation Part 2: Turbulent Flow and Plume Dispersion around a Cubical Building vol.48, pp.3, 2011, https://doi.org/10.1080/18811248.2011.9711713
  43. Characterising the pollutant ventilation characteristics of street canyons using the tracer age and age spectrum vol.122, 2015, https://doi.org/10.1016/j.atmosenv.2015.10.023
  44. Analysis of Nonlinear Dynamic Response of Wind Turbine Blade Under Fluid–Structure Interaction and Turbulence Effect vol.136, pp.10, 2014, https://doi.org/10.1115/1.4027965
  45. The Parallelized Large-Eddy Simulation Model (PALM) version 4.0 for atmospheric and oceanic flows: model formulation, recent developments, and future perspectives vol.8, pp.8, 2015, https://doi.org/10.5194/gmd-8-2515-2015
  46. Ventilation and Air Quality in City Blocks Using Large-Eddy Simulation—Urban Planning Perspective vol.9, pp.2, 2018, https://doi.org/10.3390/atmos9020065
  47. Turbulent boundary layer generated using stochastic method for inflow conditions of LES vol.10, pp.2, 2018, https://doi.org/10.1007/s12572-018-0214-0
  48. Evaluating the Impact of Free-Stream Turbulence on Convective Cooling of Overhead Conductors Using Large Eddy Simulations vol.141, pp.6, 2019, https://doi.org/10.1115/1.4042401
  49. Progress in Numerical Modelling for Urban Thermal Environment Studies vol.3, pp.1, 2002, https://doi.org/10.3763/aber.2009.0306
  50. Large-Eddy Simulation on turbulent flow and plume dispersion over a 2-dimensional hill vol.4, pp.1, 2002, https://doi.org/10.5194/asr-4-71-2010
  51. Large-eddy simulation of plume dispersion within regular arrays of cubic buildings vol.6, pp.1, 2011, https://doi.org/10.5194/asr-6-79-2011
  52. Large-Eddy Simulation of plume dispersion within various actual urban areas vol.10, pp.None, 2002, https://doi.org/10.5194/asr-10-33-2013
  53. Development of local-scale high-resolution atmospheric dispersion model using large-eddy simulation. Part 3: turbulent flow and plume dispersion in building arrays vol.50, pp.5, 2002, https://doi.org/10.1080/00223131.2013.785267
  54. Large-eddy simulation of plume dispersion under various thermally stratified boundary layers vol.11, pp.None, 2002, https://doi.org/10.5194/asr-11-75-2014
  55. Large-eddy simulation of turbulent winds during the Fukushima Daiichi Nuclear Power Plant accident by coupling with a meso-scale meteorological simulation model vol.12, pp.None, 2002, https://doi.org/10.5194/asr-12-127-2015
  56. The Parallelized Large-Eddy Simulation Model (PALM) version 4.0 for atmospheric and oceanic flows: model formulation, recent developments, and future perspectives vol.8, pp.2, 2002, https://doi.org/10.5194/gmdd-8-1539-2015
  57. LES of wind environments in urban residential areas based on an inflow turbulence generating approach vol.24, pp.1, 2002, https://doi.org/10.12989/was.2017.24.1.001
  58. Numerical framework for the computation of urban flux footprints employing large-eddy simulation and Lagrangian stochastic modeling vol.10, pp.11, 2002, https://doi.org/10.5194/gmd-10-4187-2017
  59. Application of the Cell Perturbation Method to Large-Eddy Simulations of a Real Urban Area vol.58, pp.5, 2002, https://doi.org/10.1175/jamc-d-18-0185.1
  60. Overview of the PALM model system 6.0 vol.13, pp.3, 2002, https://doi.org/10.5194/gmd-13-1335-2020
  61. Side ratio effects on flow and pollutant dispersion around an isolated high-rise building in a turbulent boundary layer vol.180, pp.None, 2002, https://doi.org/10.1016/j.buildenv.2020.107078
  62. Increased Mixing and Turbulence in the Wake of Offshore Wind Farm Foundations vol.125, pp.8, 2020, https://doi.org/10.1029/2019jc015858
  63. Influence of Lead width on the Turbulent Flow Over Sea Ice Leads: Modeling and Parametrization vol.125, pp.15, 2002, https://doi.org/10.1029/2019jd031996
  64. Does the rotational direction of a wind turbine impact the wake in a stably stratified atmospheric boundary layer? vol.5, pp.4, 2020, https://doi.org/10.5194/wes-5-1359-2020
  65. A nested multi-scale system implemented in the large-eddy simulation model PALM model system 6.0 vol.14, pp.6, 2021, https://doi.org/10.5194/gmd-14-3185-2021
  66. Mesoscale nesting interface of the PALM model system 6.0 vol.14, pp.9, 2002, https://doi.org/10.5194/gmd-14-5435-2021
  67. On the Experimental, Numerical and Data-Driven Methods to Study Urban Flows vol.14, pp.5, 2021, https://doi.org/10.3390/en14051310
  68. Large-Eddy Simulation of Plume Dispersion in the Central District of Oklahoma City by Coupling with a Mesoscale Meteorological Simulation Model and Observation vol.12, pp.7, 2002, https://doi.org/10.3390/atmos12070889
  69. Toward Development of a Framework for Prediction System of Local-Scale Atmospheric Dispersion Based on a Coupling of LES-Database and On-Site Meteorological Observation vol.12, pp.7, 2021, https://doi.org/10.3390/atmos12070899
  70. Development of local-scale high-resolution atmospheric dispersion model using large-eddy simulation part 6: introduction of detailed dose calculation method vol.58, pp.9, 2002, https://doi.org/10.1080/00223131.2021.1894256
  71. Prediction of pressure coefficient on setback building by artificial neural network vol.48, pp.10, 2002, https://doi.org/10.1139/cjce-2020-0100
  72. Wind environment around the setback building models vol.14, pp.5, 2021, https://doi.org/10.1007/s12273-020-0758-3
  73. Large-Eddy Simulations on the Effects of Two Wind Passage Types between Buildings on the Airflow and Drag Characteristics vol.12, pp.12, 2021, https://doi.org/10.3390/atmos12121646