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Spatiotemporal characterization of nonlinear forcing and response in turbulent channel flow

  • California Institute of Technology Division of Engineering and Applied Science
  • University of New Hampshire
  • Stanford University

Research output: Contribution to journalArticlepeer-review

Abstract

The quadratic convection term in the incompressible Navier–Stokes equations is considered as a nonlinear forcing to the linear resolvent operator, and it is studied in the Fourier domain through the analysis of interactions between triadically compatible wavenumber–frequency triplets. A framework to quantify the triadic contributions to the forcing and response by each pair of triplets is developed and applied to data from direct numerical simulations of a turbulent channel at Reτ ≈ 550. The linear resolvent operator is incorporated to provide the missing link from energy transfer between modes to the effect on the spectral turbulent kinetic energy. The coefficients highlight the importance of interactions involving large-scale structures, providing a natural connection to the modelling assumptions in quasilinear (QL) and generalized QL (GQL) analyses. Specifically, it is revealed that the QL and GQL reductions efficiently capture important triadic interactions in the flow, especially when including of a small number of wavenumbers into the GQL large-scale base flow. Additionally, spatiotemporal analyses of the triadic contributions to a single mode representative of the near-wall cycle demonstrate the spatiotemporal nature of the triadic interactions and the effect of the resolvent operator, which selectively amplifies certain forcing profiles. The tools presented are expected to be useful for improving modelling of the nonlinearity, especially in QL, GQL and resolvent analyses, and understanding the amplitude modulation mechanism relating large-scale fluctuations to the modulation of near-wall structures.

Original languageEnglish
Article numberA37
JournalJournal of Fluid Mechanics
Volume1035
DOIs
StatePublished - May 25 2026

Keywords

  • turbulence modelling
  • turbulent boundary layers

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