Large-Eddy Simulation of Flows over Random Urban-like Obstacles

By Zheng-Tong Xie, O. Coceal, I. Castro. 2008

229 citations recorded by the source corpus.

Subfields: Computational Mechanics, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/66681f741b26ca2436976e07e1250d2fd41ae88d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Stefano Leonardi
2. I. Castro
3. A. Martilli
4. J. Santiago
5. Marcelo Perlin
6. Aya Hagishima
7. S. Ceccio
8. Sho Meno

In Environmental Engineering

1. Stefano Leonardi
2. A. Martilli
3. J. Santiago
4. I. Castro
5. Aya Hagishima
6. Sho Meno
7. Koji Nagayama
8. Jun Tanimoto

In Global and Planetary Change

1. Stefano Leonardi
2. I. Castro
3. Aya Hagishima
4. Sho Meno
5. Koji Nagayama
6. Jun Tanimoto
7. M. Kanda
8. Siegfried Raasch

Citations in the corpus

• Channel flow over large cube roughness: a direct numerical simulation study (2010, methodology): “Note that these results are consistent with the finding that for arrays of random (or at least multiple) height obstacles, the surface stress is dominated by the form drag of the tallest obstacles (see Kanda 2006; Xie et al. 2008).”
• Aerodynamic Parameters of Regular Arrays of Rectangular Blocks with Various Geometries (2009, methodology): “ Xie et al. (2008) illustrated the large contribution of the drag force acting on tall blocks to the total shear stress of arrays with non-uniform heights in LES.”
• A New Aerodynamic Parametrization for Real Urban Surfaces (2013, background): “Although the highest building is known to influence the drag (Kanda 2006; Xie et al. 2008), Hmax does not appear explicitly in Eq.”
• Characterization of superhydrophobic surfaces for drag reduction in turbulent flow (2018, background): “In fact, form drag due to large, sparse (φs 6 0.2) features has been shown to be the major component of total friction for certain texture geometries (Kanda et al. 2004; Leonardi et al. 2007; Xie et al. 2008; Leonardi & Castro 2010).”
• A Dynamic Urban Canopy Parameterization for Mesoscale Models Based on Computational Fluid Dynamics Reynolds-Averaged Navier–Stokes Microscale Simulations (2010, background): “For example, Xie et al. (2008) found, for arrays with non-uniform height of the obstacles, that the peak of the spatially-averaged turbulent kinetic energyislocatedattheheightofthetallestbuildingsinsteadofatthemeanbuildingheight.In addition, they found similar spatially-averaged mean wind speeds b”