2008
DOI: 10.1016/j.jweia.2008.01.011
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The numerical computation of near-wall turbulent flow over a steep hill

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Cited by 38 publications
(14 citation statements)
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“…It is referred to as a model of SST model which was associated to benefits of k-ω turbulence model for simulation of features of the k-ε turbulence model and the near-wall boundary layer, wherein small dependence concerning conditions of the far-field boundary was involved. Hence, its accuracy and reliability of prediction are higher [ 22 24 ]. The eddy viscosity and k equation and ω equation of the SST model can be written into the following form: …”
Section: Methodology and Toolsmentioning
confidence: 99%
“…It is referred to as a model of SST model which was associated to benefits of k-ω turbulence model for simulation of features of the k-ε turbulence model and the near-wall boundary layer, wherein small dependence concerning conditions of the far-field boundary was involved. Hence, its accuracy and reliability of prediction are higher [ 22 24 ]. The eddy viscosity and k equation and ω equation of the SST model can be written into the following form: …”
Section: Methodology and Toolsmentioning
confidence: 99%
“…Regarding the experiment of an incoming turbulent boundary layer flow over a single hill model, Loureiro et al [10] recently examined the nearwall turbulent statistics, including the wall shear stress, using a one-component LDV with a forward-scatter mode in a water tunnel. The detailed near-wall data were used for assessment of various turbulence models [25].…”
Section: Introductionmentioning
confidence: 99%
“…Adopting LES, a constant mixing-length assumption was found not to be strictly valid within the canopy by Ross [14], the same conclusion reached in a recent study by Okaze et al [15], and the structure of the turbulence over a forested hill was found to be broadly similar to that over flat ground, with sweeps and ejections dominating. Then, Loureiro et al developed a consistent theory on the flow over rough ground using water-tank experiments [5,16]. Furthermore, the surface roughness was found to have a great influence on the flow separation point which occurs earlier with rougher surface leading to a larger recirculation area, in the studies by Takahashi et al [17], Cao and Tamura [12], Tamura et al [18], Loureiro et al [5], and Cao et al [19].…”
Section: Introductionmentioning
confidence: 99%
“…Flow structures over complex topographies are featured by the flow separations and reattachments which strongly depend on the topographic aspects, including surface roughness conditions, slopes, and shapes. On the other hand, the turbulent flow fields over complex terrain are of a great interest for many applications, such as wind turbine sittings [1], pollution diffusions [2], estimation of aerodynamic loadings on structures [3], identifications of tree damage [4], and forest fire propagation [5]. As a starting point modeling flow fields over real complex terrains, great efforts have been made to clarify the turbulent boundary layer (TBL) over simplified isolated hills.…”
Section: Introductionmentioning
confidence: 99%
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