Abstract

Abstract Efforts to identify and visualize near-wall structures typically focus on the region y + ≳ 5 , where large-scale structures with significant turbulent kinetic energy content reside, such as the high-speed and low-speed streaks associated with sweep and ejection events. While it is true that the level of the turbulent kinetic energy drops to zero as one approaches the wall, the organization of near-wall turbulence does not end at y + ≈ 5 . Large-scale structures with significant streamwise extent and spatial organization exist even in the immediate proximity of the wall y + 5 . These coherent structures have received less attention so far, but it would be both useful and enlightening to bring them to focus in order, on one hand, to understand them, but also to analyze their interaction with the energetic structures that reside at somewhat higher distances from the wall. We have recently developed a rigorous mathematical and computational framework that can be used for the calculation of the turbulence structure tensors in arbitrary flow configurations. In this work, we use this new framework to compute, for the first time, the structure tensors in a fully-developed turbulent pipe flow. We perform Direct Numerical Simulation (DNS) at Reynolds number R e b = 5300 , based on the bulk velocity and the pipe diameter. We demonstrate the diagnostic properties of the structure tensors, by analyzing the DNS results with a focus on the near-wall structure of the turbulence. We develop a new eduction technique, based on the instantaneous values of the structure tensors, for the identification of inactive structures (i.e. large-scale structures without significant turbulent kinetic energy). This leads to the visualization of “vorticity crawlers” and “streak shadows” , large-scale structures with low energy content in the extreme vicinity of the wall. Furthermore, comparison with traditional eduction techniques (such as instantaneous iso-surfaces of turbulent kinetic energy) shows that the structure-based eduction method seamlessly captures the large-scale energetic structures further away from the wall. We then show that the one-point structure tensors reflect the morphology of the inactive structures in the extreme vicinity of the wall and that of the energy-containing large-scale structures further away from the wall. The emerging complete picture of large-scale structures helps explain the near-wall profiles of all the one-point structure tensors and is likely to have an impact in the further development of Structure-Based Models (SBMs) of turbulence.

Highlights

  • One-point measures of large-scale, energy-containing turbulence structures are important in turbulence modeling and for flow diagnostics

  • We demonstrated that the one-point structure tensors lack gauge invariance, and that the proper choice of a gauge is very important for the interpretation of the tensors

  • We have shown that the boundary gauge choice made in the General Framework preserves the meaning attached to the structure tensors under homogeneous turbulence arguments

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Summary

Introduction

One-point measures of large-scale, energy-containing turbulence structures are important in turbulence modeling and for flow diagnostics. We use both aforementioned frameworks (GF and LF) to compute, for the first time, the structure tensors in fully-developed turbulent pipe flow. (f) To establish a new flow structure characterization technique that allows the identification of inactive structures (i.e. largescale structures without significant turbulent kinetic energy) based on the instantaneous values of the structure tensors. We believe that this contribution will encourage the inclusion of the structure tensors in DNS databases, accelerating the development of structure-based models and promoting the use of structure tensors as a flow diagnostic tool

Definitions
Non-local information
Uniquely defining the structure tensors
Details of the present computation
Computational framework
Mesh details
Implementational details
Boundary conditions
Validation of velocity and pressure statistics
Terminology
Identification criteria
Visualizations
A representative schematic of the structures
One-point turbulence structure tensors
Alternative implementations and error estimates
Interpretation of the invariants of the structure tensors
Componentality tensor
Inhomogeneity tensor
Dimensionality tensor
Circulicity tensor
Vorticity tensor
Rotation angles to principal axes
Homogenized tensors
5.10. Stropholysis tensor
Conclusions and future plans
Full Text
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