2017
DOI: 10.1103/physrevfluids.2.084602
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Temporal slow-growth formulation for direct numerical simulation of compressible wall-bounded flows

Abstract: A new slow growth formulation for DNS of wall-bounded turbulent flow is developed and demonstrated to enable extension of slow growth modeling concepts to complex boundary layer flows.As in previous slow growth approaches, the formulation assumes scale separation between the fast scales of turbulence and the slow evolution of statistics such as the mean flow. This separation enables the development of approaches where the fast scales of turbulence are directly simulated while the forcing provided by the slow e… Show more

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Cited by 5 publications
(7 citation statements)
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“…A higher-order approximation could allow one or more of these quantities to vary slowly in the streamwise direction or time, which can be treated asymptotically as in Spalart (1988) or Topalian et al. (2017) to model the resulting spatial or temporal evolution of the wall turbulence. This would broaden the applicability of NWP models, which, for example, would allow them to be used with stronger pressure gradients, especially strong adverse-pressure-gradient boundary layers in which wall shear stress generally evolves relatively rapidly.…”
Section: Discussionmentioning
confidence: 99%
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“…A higher-order approximation could allow one or more of these quantities to vary slowly in the streamwise direction or time, which can be treated asymptotically as in Spalart (1988) or Topalian et al. (2017) to model the resulting spatial or temporal evolution of the wall turbulence. This would broaden the applicability of NWP models, which, for example, would allow them to be used with stronger pressure gradients, especially strong adverse-pressure-gradient boundary layers in which wall shear stress generally evolves relatively rapidly.…”
Section: Discussionmentioning
confidence: 99%
“…Finally, the NWP formulation described here can be considered a lowest-order asymptotic description of near-wall turbulence, in which the imposed pressure gradient, the momentum flux from the outer flow and the mean wall shear stress are considered uniform in space and time on the scale of the patch. A higher-order approximation could allow one or more of these quantities to vary slowly in the streamwise direction or time, which can be treated asymptotically as in Spalart (1988) or Topalian et al (2017) to model the resulting spatial or temporal evolution of the wall turbulence. This would broaden the applicability of NWP models, which, for example, would allow them to be used with stronger pressure gradients, especially strong adverse-pressure-gradient boundary layers in which wall shear stress generally evolves relatively rapidly.…”
Section: Discussionmentioning
confidence: 99%
“…The domain is periodic in the streamwise and spanwise directions, similar to the minimal flow unit simulations first conducted by Jiménez & Moin (1991). Within the domain, the pressure gradient is assumed to be constant, while streamwise growth of the mean wall-shear stress that occurs in a turbulent boundary layer, for example, is accounted for asymptotically, similar to the related works by Spalart (1988) and Topalian et al (2017). Far-field boundary conditions in the wall-normal direction are formulated by using a fringe-region (Colonius 2004) in which the mean flux of streamwise momentum in the wall-normal direction is prescribed as a function of the pressure gradient and the asymptotic growth parameter.…”
Section: Discussionmentioning
confidence: 99%
“…Another is to characterize the extent to which the dynamics of the small-scale motions, isolated from modulations by large-scale structures, are responsible for observed characteristics of near-wall turbulence. As in Spalart (1988) and Topalian et al (2017), the model equations of motion are informed by asymptotic analysis of the Navier-Stokes (NS) equations; the fundamental assumption in the current setting is a separation between the viscous length scale and the length scale over which the mean wall shear stress evolves.…”
Section: Discussionmentioning
confidence: 99%
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