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April 29, 2026Journal of Fluid Mechanics1 citationsOpen Access

Uncovering the parameter variations of the inner–outer interaction model across incompressible and compressible wall-bounded turbulence

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JSJustin E. Ka Ip SunAYAnjia YingLFLin Fu

Key Points

  • This research aims to understand parameter variations in the inner-outer interaction model for different turbulence conditions.
  • Compared the inner-outer interaction model across varying Reynolds and Mach numbers.
  • Analyzed amplitude modulation coefficients and linear transfer kernels near walls in wall-bounded flows.
  • Identified mathematical relationships between model parameters under different flow conditions.
  • Observed universal signals similar near walls, with variations in parameters for Reynolds and Mach effects.
  • Found transformations to collapse coefficients for incompressible flows across reference locations.
  • Noted ongoing challenges in accounting for compressibility effects in the model.

Abstract

The inner–outer interaction model (IOIM), first proposed by Marusic et al. ( Science , 2010, vol. 329, pp. 193–196), has proven to be an effective turbulence model for canonical and non-canonical wall-bounded flows, where a reference velocity signal from the logarithmic region acts as the input for predicting near-wall velocity fluctuations. Its most recent iteration by Baars et al. ( Phys. Rev. Fluids , 2016, vol. 1, p. 054406) further proposes a user-independent scale separation point, refining model parameters. In this study, we compared the long-perceived universal IOIM’s parameters, including the linear transfer kernel, amplitude modulation coefficients and the universal signal for a range of Reynolds and Mach numbers, where mathematical relationships between the parameters are proposed. We observed that while the universal signals exhibit a high degree of similarity, particularly near the wall, the amplitude modulation coefficients and linear transfer kernels display Reynolds and Mach number effects, where varying the reference location also causes them to exhibit significant changes. We have found transformations to collapse amplitude modulation coefficients for incompressible flows and differing reference locations, improving modelling via the IOIM across flow parameters. Despite this, compressibility effects cannot be suitably accounted for currently and remain a future challenge for the IOIM framework.

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Cite This Study

Sun et al. (2026) studied this question.

synapsesocial.com/papers/69f154e0879cb923c494511fhttps://doi.org/10.1017/jfm.2026.11452
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