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Research Article

Investigation of various non-linear eddy viscosity turbulence models for simulating flow and pollutant dispersion on and around a cubical model building

Farzad Bazdidi-Tehrani( ), Akbar Mohammadi-Ahmar, Mohsen Kiamansouri, Mohammad Jadidi
School of Mechanical Engineering, Iran University of Science and Technology, Tehran 16846-13114, Iran
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Abstract

Prediction accuracy of various non-linear eddy viscosity turbulence models for simulating flow and pollutant dispersion on and around an isolated cubical model building with a rooftop vent within the neutral turbulent boundary layer was investigated. For this purpose, three types of quadratic along with three cubic non-linear models were employed and simulation results were compared with the available wind tunnel measurements and linear revised k-ε models. They were different from the preceding simulations which have only concentrated on the wind flow field around buildings. Detailed analysis of dispersion mechanisms based on convective and turbulent diffusion mass fluxes indicated that concentration distributions predicted by non-linear models at the sidewall improved significantly relative to the traditional standard k-ε and linear revised k-ε models which was due to larger lateral turbulent diffusion. Moreover, thorough analysis of these fluxes underlined the prominent capability of non-linear models in capturing the anisotropy of turbulence and verified the importance of recirculation regions in the pollutant dispersion around a model building. Among the various non-linear models under study, cubic models of Craft et al. and Ehrhard and Moussiopoulos provided the best performance as compared with the other numerical and experimental data.

Keywords

computational fluid dynamicspollutant dispersionnon-linear eddy viscosity turbulence modelscubical model building

References

 
DD Apsley, MA Leschziner (1998). A new low-Reynolds-number non-linear two-equation turbulence model for complex flows. International Journal of Heat and Fluid Flow, 19: 209-222.
Crossref Google Scholar
 
F Bazdidi-Tehrani, A Ghafouri, M Jadidi (2013). Grid resolution assessment in large eddy simulation of dispersion around an isolated cubic building. Journal of Wind Engineering and Industrial Aerodynamics, 121: 1-15.
Crossref Google Scholar
 
F Bazdidi-Tehrani, M Jadidi (2014). Large eddy simulation of dispersion around an isolated cubic building: Evaluation of localized dynamic kSGS-equation sub-grid scale model. Environmental Fluid Mechanics, 14: 565-589.
Crossref Google Scholar
 
B Blocken, T Stathopoulos, P Saathoff, X Wang (2008). Numerical evaluation of pollutant dispersion in the built environment: Comparisons between models and experiments. Journal of Wind Engineering and Industrial Aerodynamics, 96: 1817-1831.
Crossref Google Scholar
 
J Boussinesq (1897). Théorie de l'écoulmnent tourbillonnant et tumultuex des liquides dans les lits rectilignes à grande section. Paris: Gauthier-Villars.
 
TJ Craft, BE Launder, K Suga (1996). Development and application of a cubic eddy-viscosity model of turbulence. International Journal of Heat and Fluid Flow, 17: 108-115.
Crossref Google Scholar
 
TJ Craft, BE Launder, K Suga (1997). Prediction of turbulent transitional phenomena with a non-linear eddy-viscosity model. International Journal of Heat and Fluid Flow, 18: 15-28.
Crossref Google Scholar
 
L Davidson (2014). Fluid Mechanics, Turbulent Flow and Turbulence Modeling. Goteborg, Sweden: Chalmers University of Technology.
 
J Ehrhard, N Moussiopoulos (2000). On a new nonlinear turbulence model for simulating flows around building shaped structures. Journal of Wind Engineering and Industrial Aerodynamics, 88: 91-99.
Crossref Google Scholar
 
J Franke, A Hellsten, H Schlünzen, B Carissimo (2011). The COST 732 Best Practice Guideline for CFD simulation of flows in the urban environment: A summary. International Journal of Environment and Pollution, 44: 419-427.
Crossref Google Scholar
 
TB Gatski, CG Speziale (1993). On explicit algebraic stress models for complex turbulent flows. Journal of Fluid Mechanics, 254: 59-78.
Crossref Google Scholar
 
SS Girimaji (1996). Fully explicit and self-consistent algebraic Reynolds stress model. Theoretical and Computational Fluid Dynamics, 8: 387-402.
Crossref Google Scholar
 
CA Gomez, SS Girimaji (2013). Explicit algebraic Reynolds stress model (EARSM) for compressible shear flows. Theoretical and Computational Fluid Dynamics, 28: 171-196.
Crossref Google Scholar
 
P Gousseau, B Blocken, GJF van Heijst (2011). CFD simulation of pollutant dispersion around isolated buildings: On the role of convective and turbulent mass fluxes in the prediction accuracy. Journal of Hazardous Materials, 194: 422-434.
Crossref Google Scholar
 
C Gromke, B Blocken, W Janssen, B Merema, T van Hooff, H Timmermans (2014). CFD analysis of transpirational cooling by vegetation: Case study for specific meteorological conditions during a heat wave in Arnhem, Netherlands. Building and Environment, doi:.
Crossref Google Scholar
 
F Haghighat, PA Mirzaei (2011). Impact of non-uniform urban surface temperature on pollution dispersion in urban areas. Building Simulation, 4: 227-244.
Crossref Google Scholar
 
WP Jones, BE Launder (1972). The prediction of laminarization with a two-equation model of turbulence. International Journal of Heat and Mass Transfer, 15: 301-314.
Crossref Google Scholar
 
BE Launder, DB Spalding (1974). The numerical computation of turbulent flows. Computer Methods in Applied Mechanics and Engineering, 3: 269-289.
Crossref Google Scholar
 
MA Leschziner (2006). Modelling turbulent separated flow in the context of aerodynamic applications. Fluid Dynamics Research, 38: 174-210.
Crossref Google Scholar
 
KK Leung, CH Liu, CCC Wong, JCY Lo, GCT Ng (2012). On the study of ventilation and pollutant removal over idealized two-dimensional urban street canyons. Building Simulation, 5: 359-369.
Crossref Google Scholar
 
WW Li, RN Meroney (1983). Gas dispersion near a cubical model building. Part I. Mean concentration measurements. Journal of Wind Engineering and Industrial Aerodynamics, 12: 15-33.
Crossref Google Scholar
 
FS Lien, WL Chen, MA Leschziner (1996). Low Reynolds-number eddy-viscosity modelling based on non-linear stress-strain/vorticity relations. Engineering Turbulence Modelling and Experiments, 3: 91-100.
Crossref Google Scholar
 
X Liu, J Niu, KCS Kwok (2013). Evaluation of RANS turbulence models for simulating wind-induced mean pressures and dispersions around a complex-shaped high-rise building. Building Simulation, 6: 151-164.
Crossref Google Scholar
 
JL Lumley (1970). Toward a turbulent constitutive relation. Journal of Fluid Mechanics, 41: 413-434.
Crossref Google Scholar
 
S Nisizima, A Yoshizawa (1987). Turbulent channel and Couette flows using an anisotropic k-epsilon model. AIAA Journal, 25: 414-420.
Crossref Google Scholar
 
S Nisizima (1990). A numerical study of turbulent square-duct flow using an anisotropic k-ε model. Theoretical and Computational Fluid Dynamics, 2: 61-71.
Crossref Google Scholar
 
OpenFOAM (2013). OpenFOAM 2.2.2 User Guide. Available at http://www.openfoam.com/.
 
SB Pope (1975). A more general effective-viscosity hypothesis. Journal of Fluid Mechanics, 72: 331-340.
Crossref Google Scholar
 
A Rahmatmand, M Yaghoubi, EG Rad, MM Tavakol (2014). 3D experimental and numerical analysis of wind flow around domed-roof buildings with open and closed apertures. Building Simulation, 7: 305-319.
Crossref Google Scholar
 
R Rossi, DA Philips, G Iaccarino (2010). A numerical study of scalar dispersion downstream of a wall-mounted cube using direct simulations and algebraic flux models. International Journal of Heat and Fluid Flow, 31: 805-819.
Crossref Google Scholar
 
R Rubinstein, JM Barton (1990). Nonlinear Reynolds stress models and the renormalization group. Physics of Fluids A, 8: 1472-1476.
Crossref Google Scholar
 
T Rung, H Lübcke, M Franke, F Thiele, S Fu (1999). Assessment of explicit algebraic stress models in transonic flows. Engineering Turbulence Modelling and Experiments, 4: 659-668.
Crossref Google Scholar
 
J Shao, J Liu, J Zhao (2012). Evaluation of various non-linear k-ε models for predicting wind flow around an isolated high-rise building within the surface boundary layer. Building and Environment, 57: 145-155.
Crossref Google Scholar
 
H Shen, Q He, Y Liu, Y Zhang, B Dong (2014). A passive scalar sub-grid scale model and its application to airflow simulation around a building. Building Simulation, 7: 147-154.
Crossref Google Scholar
 
TH Shih, J Zhu, JL Lumley (1993). A Realizable Reynolds Stress Algebraic Equation Model. Linthicum Heights, MD, USA: NASA Center for AeroSpace Information.
 
CG Speziale (1987). On non-linear k-I and k-ε models of turbulence. Journal of Fluid Mechanics, 178: 459-475.
Crossref Google Scholar
 
DB Taulbee, JR Sonnenmeier, KM Wall (1993). Application of a new non-linear stress strain model to axisymmetric turbulent swirling flows. Engineering Turbulence Modelling and Experiments, 2: 103-112.
Crossref Google Scholar
 
Y Tominaga, A Mochida, S Murakami, S Sawaki (2008). 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. Journal of Wind Engineering and Industrial Aerodynamics, 96: 389-411.
Crossref Google Scholar
 
Y Tominaga, A Mochida, R Yoshie, H Kataoka, T Nozu, M Yoshikawa, T Shirasawa (2008). AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings. Journal of Wind Engineering and Industrial Aerodynamics, 96: 1749-1761.
Crossref Google Scholar
 
Y Tominaga, T Stathopoulos (2007). Turbulent Schmidt numbers for CFD analysis with various types of flowfield. Atmospheric Environment, 41: 8091-8099.
Crossref Google Scholar
 
Y Tominaga, T Stathopoulos (2009). Numerical simulation of dispersion around an isolated cubic building: Comparison of various types of k-ε models. Atmospheric Environment, 43: 3200-3210.
Crossref Google Scholar
 
Y Tominaga, T Stathopoulos (2010). Numerical simulation of dispersion around an isolated cubic building: Model evaluation of RANS and LES. Building and Environment, 45: 2231-2239.
Crossref Google Scholar
 
Y Toparlar, B Blocken, P Vos, GJF van Heijst, WD Janssen, T van Hooff, H Montazeri, HJP Timmermans (2014). CFD simulation and validation of urban microclimate: A case study for Bergpolder Zuid, Rotterdam. Building and Environment, doi:.
Crossref Google Scholar
 
HK Versteeg, W Malalasekera (2007). An Introduction to Computational Fluid Dynamics: The Finite Volume Method. Harlow, UK: Pearson Education.
 
S Wallin, AV Johansson (2000). An explicit algebraic Reynolds stress model for incompressible and compressible turbulent flows. Journal of Fluid Mechanics, 403: 89-132.
Crossref Google Scholar
 
NG Wright, GJ Easom (2003). Non-linear turbulence model results for flow over a building at full-scale. Applied Mathematical Modelling, 27: 1013-1033.
Crossref Google Scholar
 
V Yakhot, SA Orszag, S Thangam, TB Gatski, CG Speziale (1992). Development of turbulence models for shear flows by a double expansion technique. Physics of Fluids A, 4: 1510-1520.
Crossref Google Scholar
 
R Yoshie, G Jiang, T Shirasawa, J Chung (2011). CFD simulations of gas dispersion around high-rise building in non-isothermal boundary layer. Journal of Wind Engineering and Industrial Aerodynamics, 99: 279-288.
Crossref Google Scholar
 
A Yoshizawa (1984). Statistical analysis of the deviation of the Reynolds stress from its eddy viscosity representation. Physics of Fluids, 27: 1377-1387.
Crossref Google Scholar
Building Simulation
Volume 8 Issue 2,
April 2015
Pages 149-166
DOI: 10.1007/s12273-014-0199-y
Cite this article:
Bazdidi-Tehrani F, Mohammadi-Ahmar A, Kiamansouri M, et al. Investigation of various non-linear eddy viscosity turbulence models for simulating flow and pollutant dispersion on and around a cubical model building. Building Simulation, 2015, 8(2): 149-166. https://doi.org/10.1007/s12273-014-0199-y

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Received: 15 June 2014
Revised: 09 September 2014
Accepted: 15 September 2014
Published: 14 October 2014
© Tsinghua University Press and Springer-Verlag Berlin Heidelberg 2014
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