UPDF AI

Direct assessment of Kolmogorov's first refined similarity hypothesis

J. Lawson,E. Bodenschatz,2 Authors,N. Worth

2019 · DOI: 10.1103/PhysRevFluids.4.022601
Physical Review Fluids · 20 Citations

TLDR

Over one order of magnitude of scales within the dissipative range, the distributions of the stochastic variables from both experiment and simulation collapse when parameterised by a suitably defined local Reynolds number, providing the first conclusive experimental evidence in support of the first refined similarity hypothesis and its universality.

Abstract

Using volumetric velocity data from a turbulent laboratory water flow and numerical simulations of homogeneous, isotropic turbulence, we present a direct experimental and numerical assessment of Kolmogorov's first refined similarity hypothesis based on three-dimensional measurements of the local energy dissipation rate ϵr\epsilon_r measured at dissipative scales rr. We focus on the properties of the stochastic variables VL=Δu(r)/(rϵr)1/3V_L = \Delta u(r)/(r \epsilon_r)^{1/3} and VT=Δv(r)/(rϵr)1/3V_T = \Delta v(r)/(r\epsilon_r)^{1/3}, where Δu(r)\Delta u(r) and Δv(r)\Delta v(r) are longitudinal and transverse velocity increments. Over one order of magnitude of scales rr within the dissipative range, the distributions of VLV_L and VTV_T from both experiment and simulation collapse when parameterised by a suitably defined local Reynolds number, providing the first conclusive experimental evidence in support of the first refined similarity hypothesis and its universality.