Abstract
The energy spectrum of incompressible turbulence is known to reveal a pileup of energy at those high wavenumbers where viscous dissipation begins to act. It is called the bottleneck effect (Donzis and Sreenivasan in J Fluid Mech 657:171–188, 2010; Falkovich in Phys Fluids 6:1411–1414, 1994; Frisch et al. in Phys Rev Lett 101:144501, 2008; Kurien et al. in Phys Rev E 69:066313, 2004; Verma and Donzis in Phys A: Math Theor 40:4401–4412, 2007). Based on direct numerical simulations of the incompressible Navier-Stokes equations, results from Donzis and Sreenivasan (657:171–188, 2010) pointed to a power-law decrease of the strength of the bottleneck with increasing intensity of the turbulence, measured by the Taylor micro-scale Reynolds number R_{lambda }. Here we report the first experimental results on the dependence of the amplitude of the bottleneck as a function of R_{lambda } in a wind-tunnel flow. We used an active grid (Griffin et al. in Control of long-range correlations in turbulence, arXiv:1809.05126, 2019) in the variable density turbulence tunnel (VDTT) (Bodenschatz et al. in Rev Sci Instrum 85:093908, 2014) to reach R_{lambda }>5000, which is unmatched in laboratory flows of decaying turbulence. The VDTT with the active grid permitted us to measure energy spectra from flows of different R_{lambda }, with the small-scale features appearing always at the same frequencies. We relate those spectra recorded to a common reference spectrum, largely eliminating systematic errors which plague hotwire measurements at high frequencies. The data are consistent with a power law for the decrease of the bottleneck strength for the finite range of R_{lambda } in the experiment.
Highlights
Turbulence is omnipresent in natural and technological flows
According to Kolmogorov’s phenomenology from 1941 [2], the universal statistical spatial properties of fully developed turbulence can be captured in three ranges of spatial scales
This range is called the inertial range. In this intermediate range statistical properties can be interpreted by the scale-to-scale transfer of kinetic energy only, described by the kinetic energy dissipation range ε(dissipated power per unit mass)
Summary
Turbulence is omnipresent in natural and technological flows. Its consequences for the associated processes are essential in the fields of astrophysics, geophysics, meteorology, biology, and in many engineering disciplines from chemical engineering, combustion science, heat and mass transfer engineering to aeronautics, marine science and renewable energy research. According to Kolmogorov’s phenomenology from 1941 [2] (abbreviated K41), the universal statistical spatial properties of fully developed turbulence can be captured in three ranges of spatial scales. Kinetic energy is injected into the turbulent fluctuations at the largest scales, whose properties are particular to the driving mechanism. If the range of spatial scales found in the turbulent structures is large enough, a third range of scales develops, where neither the peculiarities of energy injection, nor viscous dissipation influence the spatial scale-to scale energy transfer. This range is called the inertial range. The dimensionless quantity used to give the strength of turbulence and the size of the inertial range scaling is the Taylor microscale Reynolds number
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