2018
DOI: 10.1016/j.expthermflusci.2017.12.013
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Flow around a cube for Reynolds numbers between 500 and 55,000

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Cited by 32 publications
(13 citation statements)
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“…Decreasing the order of advection scheme from fifth to third also increases the numerical diffusion; however, the positions of the mean-flow features differ by less than 10%, except for the recirculation length (refer to s/m in Table 3). To our knowledge, there are no previous studies that assessed the impact of advection schemes to this canonical flow, but it was found that the impact of decreasing the order of numerical accuracy revealed in this study is very similar to the change of the flow pattern with decreasing Re (Khan et al 2018). For example, the reattachment length and the magnitude of the reverse flow on the lee side of the building gradually increase with decreasing Re (Khan et al 2018), similar to the impact of decreasing the order of advection scheme shown in Fig.…”
Section: Stagnationsupporting
confidence: 64%
See 1 more Smart Citation
“…Decreasing the order of advection scheme from fifth to third also increases the numerical diffusion; however, the positions of the mean-flow features differ by less than 10%, except for the recirculation length (refer to s/m in Table 3). To our knowledge, there are no previous studies that assessed the impact of advection schemes to this canonical flow, but it was found that the impact of decreasing the order of numerical accuracy revealed in this study is very similar to the change of the flow pattern with decreasing Re (Khan et al 2018). For example, the reattachment length and the magnitude of the reverse flow on the lee side of the building gradually increase with decreasing Re (Khan et al 2018), similar to the impact of decreasing the order of advection scheme shown in Fig.…”
Section: Stagnationsupporting
confidence: 64%
“…The fundamental understanding of flow structures over urban topography has primarily been built on laboratory experiments and direct numerical simulations (DNSs) of flow around isolated surface-mounted cubic buildings, immersed in shear-driven turbulent flow at Reynolds numbers of O(10 3 -10 4 ) (e.g., Martinuzzi and Tropea 1993;Meinders and Hanjalić 1999;Yakhot et al 2006;Diaz-Daniel et al 2017;Khan et al 2018;and references therein). Despite the simple building geometry, the measurements and DNS results with such configuration have revealed characteristic features of flow response to buildings, including flow separations in the upstream and front corners of building's top and lateral faces, flow recirculation and reattachment, as well as unsteady vortex shedding in the wake region.…”
Section: Introductionmentioning
confidence: 99%
“…The percentage of rejected vectors from each frame is less than 4%. Additional details about our water tunnel and PIV facilities can be found in Khan et al [12] and Sooraj et al [35].…”
Section: Methodsmentioning
confidence: 99%
“…The use of a constant drag coefficient at Reynold’s numbers below 10,000, which is applicable to our experiments, is a somewhat crude approximation [47,48]. Nevertheless, we apply it in order to acquire a simple closed-form solution.…”
Section: Design and Operating Principlementioning
confidence: 99%