Wind tunnel simulations of plume dispersion through groups of obstacles

Davidson, M. J.; Snyder, William H.; Lawson, Robert E.; Hunt, J. C. R.

doi:10.1016/1352-2310(96)00103-3

Cited by 90 publications

(76 citation statements)

References 15 publications

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“…A considerable number of the studies belonging to the former group follow the work proposed by Armitt and Counihan (1968); Counihan (1969). However, there have been other attempts at high Re flow generation in the past; without trying to provide an exhaustive review of the different methods one can cite, for instance, Nagib et al (1976); Cook (1978); Arie et al (1981); Davidson et al (1996); Kornilov and Boiko (2012) amongst many others. For a deeper review of the different methods the reader is referred, for instance, to Hunt and Fernholz (1975).…”

Section: Introductionmentioning

confidence: 99%

Near field development of artificially generated high Reynolds number turbulent boundary layers

2016

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Particle image velocimetry (PIV) is conducted in the near field of two distinct wall-mounted trips for the artificial generation of a high Reynolds number turbulent boundary layer. The first of these trips consists of high aspect ratio obstacles which are supposed to minimize the influence of their wakes on the near-wall region, contrasting with low aspect ratio trips which would enhance this influence.A comprehensive study involving flow description, turbulent/non-turbulent interface detection, a low order model description of the flow and an exploration of the influence of the wake in the near-wall region is conducted and two different mechanisms are clearly identified and described. First, high aspect ratio trips generate a wall-driven mechanism whose characteristics are: a thinner, sharper and less tortuous turbulent/non-turbulent interface and a reduced influence of the trips' wake in the near-wall region. Second, low aspect ratio trips generate a wake-driven mechanisms in which their turbulent/nonturbulent interface is thicker, less sharply defined and with a higher tortuosity and the detached wake of the obstacles presents a significant influence on the near-wall region. Study of the low order modelling of the flow field suggests that these two mechanisms may not be exclusive to the particular geometries tested in the present study but, on the contrary, can be explained based on the predominant flow features. In particular, the distinction of these two mechanisms can explain some of the trends that have appeared in the literature in the past decades.

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Section: Introductionmentioning

confidence: 99%

Near field development of artificially generated high Reynolds number turbulent boundary layers

2016

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“…This method has been broadly used and improved, e.g. Arie et al (1981) or Davidson et al (1996) amongst many others. Other devices have also been used in the past to artificially thicken the boundary layer such as a non-uniform blockage grid (Kornilov and Boiko 2013), fences and jets normal to the flow (Sargison et al 2004), a jet opposed to the flow (Nagib et al 1976), small cylinders normal to the wall (Kornilov and Boiko 2012) or a combination of several of those methods (Cook 1978).…”

Section: Introductionmentioning

confidence: 99%

On the Formation Mechanisms of Artificially Generated High Reynolds Number Turbulent Boundary Layers

Rodríguez-López

Bruce

Buxton

2016

Boundary-Layer Meteorol

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We investigate the evolution of an artificially thick turbulent boundary layer generated by two families of small obstacles (divided into uniform and non-uniform wall normal distributions of blockage). One-and two-point velocity measurements using constant temperature anemometry show that the canonical behaviour of a boundary layer is recovered after an adaptation region downstream of the trips presenting 150% higher momentum thickness (or equivalently, Reynolds number) than the natural case for the same downstream distance (x ≈ 3 m). The effect of the degree of immersion of the obstacles for h/δ 1 is shown to play a secondary role. The one-point diagnostic quantities used to assess the degree of recovery of the canonical properties are the friction coefficient (representative of the inner motions), the shape factor and wake parameter (representative of the wake regions); they provide a severe test to be applied to artificially generated boundary layers. Simultaneous two-point velocity measurements of both spanwise and wall-normal correlations and the modulation of inner velocity by the outer structures show that there are two different formation mechanisms for the boundary layer. The trips with high aspect ratio and uniform distributed blockage leave the inner motions of the boundary layer relatively undisturbed, which subsequently drive the mixing of the obstacles' wake with the wall-bounded flow (wall-driven). In contrast, the low aspect-ratio trips with non-uniform blockage destroy the inner structures, which are then re-formed further downstream under the influence of the wake of the obstacles (wake-driven).

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“…In this example, the VE indices are applied to one of the previously published works (Davidson et al, 1996). Figure 16 shows two building array configurations -aligned and staggered.…”

Section: Effect Of Building Array Configurationsmentioning

confidence: 99%

“…Figure 16 shows two building array configurations -aligned and staggered. The two configurations are fundamentally different as the staggered array diverts flow onto neighbouring obstacles whereas the aligned array presents channels through which the flow can pass (Davidson et al, 1996). The aligned array has 42 blocks, while the staggered array is composed of 39 blocks.…”

Section: Effect Of Building Array Configurationsmentioning

confidence: 99%

Modeling of Ventilation Efficiency

Bady¹

2010

Air Quality

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Wind tunnel simulations of plume dispersion through groups of obstacles

Cited by 90 publications

References 15 publications

Near field development of artificially generated high Reynolds number turbulent boundary layers

Near field development of artificially generated high Reynolds number turbulent boundary layers

On the Formation Mechanisms of Artificially Generated High Reynolds Number Turbulent Boundary Layers

Modeling of Ventilation Efficiency

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