Linearised Reynolds-Averaged predictions of secondary currents in turbulent channels with topographic heterogeneity
Gerardo Zampino, Davide Lasagna, Bharathram Ganapathisubramani

TL;DR
This paper introduces a fast, linearised predictive model based on Reynolds-averaged Navier-Stokes equations to analyze secondary currents caused by surface topography in turbulent channel flows, enabling efficient exploration of various surface structures.
Contribution
The work develops a linearised, superposition-capable model for secondary currents in turbulent channels with surface heterogeneity, incorporating a nonlinear turbulence closure for accuracy.
Findings
Large response at specific spanwise wavelengths for sinusoidal walls.
Model suggests using ridge width and gap for better analysis of rectangular ridges.
Rapid parameter space exploration of structured surface topographies.
Abstract
A rapid predictive tool based on the linearised Reynolds-averaged Navier-Stokes equations is proposed in this work to investigate secondary currents generated by streamwise-independent surface topography modulations in turbulent channel flow. The tool is derived by coupling the Reynolds-averaged momentum equation to the Spalart-Allmaras transport equation for the turbulent eddy viscosity, using a nonlinear constitutive relation for the Reynolds stresses to capture correctly secondary motions. Linearised equations, describing the steady flow response to arbitrary surface modulations, are derived by assuming that surface modulations are shallow. Since the equations are linear, the superposition principle holds and the flow response induced by an arbitrary modulation can be obtained by combining appropriately the elementary responses obtained over sinusoidal modulations at multiple…
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