Mean Flow and Turbulence Statistics Over Groups of Urban-like Cubical Obstacles

By O. Coceal, T. G. Thomas, I. Castro, S. Belcher. 2006

518 citations recorded by the source corpus.

Subfields: Atmospheric Science, Computational Mechanics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/91040aff4c126658088201385f9322c2fc752b4f

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Citations in the corpus

Direct numerical simulation of the turbulent boundary layer over a cube-roughened wall (2010, background): “These are consistent with those of Coceal et al. (2006) in the turbulent channel flow with staggered arrayed cube roughness (px/k = pz/k = 2).”
LES and RANS for Turbulent Flow over Arrays of Wall-Mounted Obstacles (2006, unknown): “[11] conducted an intensive domain size test for C20S using a larger domains and found, as noted earlier, that the turbulence statistics up to second order were not significantly affected by domain size.”
CFD Modeling of Pollution Dispersion in Building Array: Evaluation of turbulent scalar flux modeling in RANS model using LES results (2012, background): “Coceal et al. (2006) emphasized that unsteady effects are important, especially in the lower canopy layer where turbulent fluctuations dominate over the mean flow by direct numerical simulations of turbulent flow over regular arrays of urban-like, cubical obstacles.”
Aerodynamic Parameters of Regular Arrays of Rectangular Blocks with Various Geometries (2009, methodology): “He presumed that the sectional drag coefficient is constant within a canopy layer, while Coceal et al. (2006) estimated the vertical distributions of the sectional drag coefficient for cubical arrays with λ p = 0.25 in a direct numerical simulation.”
Variation of the Sectional Drag Coefficient of a Group of Buildings with Packing Density (2008, methodology): “The first aim is to compare our RANS simulations against the DNS, which has already been successfully validated against windtunnel data ( Coceal et al. 2006 ), for λf = 0.25 (see Sect.”
Structure of turbulent flow over regular arrays of cubical roughness (2007, methodology): “Instead, a smaller domain with dimensions L =W = H =4h was used with the aim of comparing results mainly within the array, where the smaller domain size should not have a noticeable effect (Coceal et al. 2006).”
Double-averaging analysis and local flow characterization of near-bed turbulence in gravel-bed channel flows (2009, background): “Similar tendencies were also reported for higher relative submergences (Coceal et al. 2006, 2007 c; Franca 2005b; Nelson et al. 1993).”
A Dynamic Urban Canopy Parameterization for Mesoscale Models Based on Computational Fluid Dynamics Reynolds-Averaged Navier–Stokes Microscale Simulations (2010, background): “This value is close to those deduced using the same method for the measurements of Cheng and Castro (2002 )( d/ h = 0.83) and by the DNS results of Coceal et al. (2006 )( d/ h = 0.83) (see Fig. 3). Note that there are different ways of obtaining d and they are not consistent between them ( Coceal et”
Channel flow over large cube roughness: a direct numerical simulation study (2010, methodology): “It is also in direct contrast to the findings of Bhaganagar et al. (2004) who, from DNS of a channel flow with one smooth and one rough wall, showed that the appropriately normalized Reynolds stresses in the outer flow were significantly smaller on the rough-wall side.”
DNS of turbulent channel flows with two- and three-dimensional roughness (2006, background): “[5]; they were interested in different aspects of the flow and assumed free-slip conditions on the opposite boundary.”
Large-Eddy Simulation of Flows over Random Urban-like Obstacles (2008, background): “Flow over regular arrays of cubes mounted on a wall has been studied by a number of researchers (Meinders & Hanjalić, 1999; Hanna et al., 2002; Cheng & Castro, 2002; Stoesser et al., 2003; Kanda et al., 2004; Coceal et al., 2006).”
Numerical Investigations of Mean Winds Within Canopies of Regularly Arrayed Cubical Buildings Under Neutral Stability Conditions (2009, methodology): “Recently, by performing direct numerical simulations (DNS) of the airflow around square and staggered arrays of cubical blocks with λ p = 0.25, Coceal et al. (2006) showed that the”