2017
DOI: 10.1007/s10494-017-9864-4
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Distributed Roughness Effects on Transitional and Turbulent Boundary Layers

Abstract: A numerical investigation is carried out to study the transition of a subsonic boundary layer on a flat plate with roughness elements distributed over the entire surface. Post-transition, the effect of surface roughness on a spatially developing turbulent boundary layer (TBL) is explored. In the transitional regime, the onset of flow transition predicted by the current simulations is in agreement with the experimentally based correlations proposed in the literature. Transition mechanisms are shown to change si… Show more

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Cited by 61 publications
(20 citation statements)
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References 47 publications
(90 reference statements)
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“…Compared with a smooth surface, a significant upward shift of the logarithmic region in the surfaces of sample B and sample G is observed over two bulk Reynold numbers Re b . This is in agreement with the experimental result of Toussaint et al , The offset distance is denoted by −Δ U + . The detailed surface properties are summarized in Table ; when −Δ U + is negative, the velocity distribution shifts downward, and the drag is greater than the corresponding smooth wall.…”
Section: Resultssupporting
confidence: 92%
“…Compared with a smooth surface, a significant upward shift of the logarithmic region in the surfaces of sample B and sample G is observed over two bulk Reynold numbers Re b . This is in agreement with the experimental result of Toussaint et al , The offset distance is denoted by −Δ U + . The detailed surface properties are summarized in Table ; when −Δ U + is negative, the velocity distribution shifts downward, and the drag is greater than the corresponding smooth wall.…”
Section: Resultssupporting
confidence: 92%
“…The effect of introducing a wide range of length scales and broadband disturbances inside a boundary layer is not sufficiently well studied and consequently, the mechanism of transition caused by a distributed roughness is not yet clearly understood (Durbin (2017)). Previous studies have used numerical simulations (Drews et al (2011), von Deyn et al (2020), Vadlamani et al (2018) and hotwire measurements (Kuester and White (2015), Anand and Diwan (2020)) to characterize some aspects of the transition process associated with different types of distributed roughness. Drews et al (2011), using direct numerical simulations, demonstrated the presence of streamwise vorticity and spanwise non-uniformity for the flow downstream of a localized patch (in spanwise direction) of random distributed roughness.…”
Section: Introductionmentioning
confidence: 99%
“…von Deyn et al (2020) and Vadlamani et al (2018) showed that the distributed roughness causes steady streaks, which develop secondary instability and become unsteady further downstream, ultimately breaking down into a turbulent flow. Note that von Deyn et al ( 2020) modelled the distributed roughness as a collection of hemispherical roughness elements (of the same height) ran-domly distributed throughout the computational domain, whereas Vadlamani et al (2018) used sinusoidal roughness elements of the same height distributed in a regular pattern throughout the transition region. Kuester and White (2015) carried out experiments on a localised patch of random distributed roughness (fabricated using rapid prototyping) and reported transient growth of disturbances downstream of it.…”
Section: Introductionmentioning
confidence: 99%
“…The most unstable mode is associated with the sinuous or varicose type of deformations of low-speed velocity streak, which grows approximately 30 times faster than the scenario in the absence of roughness. The importance of the separated shear layer from the roughness element is also reported in Vadlamani, Tucker & Durbin (2018), where the effects of distributed roughness in subsonic transitional boundary-layer flow are studied. They reported that the sinuous secondary instability of the low-speed streak destabilises the detached shear layer above the streaks, promoting transition to turbulence.…”
Section: Roughness-induced Instabilitymentioning
confidence: 93%