Issue 5, 2022

Turbulent-like velocity fluctuations in two-dimensional granular materials subject to cyclic shear

Abstract

We perform a systematic experimental study to investigate the velocity fluctuations in the two-dimensional granular matter of low and high friction coefficients subjected to cyclic shear of a range of shear amplitudes, whose velocity fields are strikingly turbulent-like with vortices of different scales. The scaling behaviors of both the transverse velocity power spectra ET(k) ∝ kαT and, more severely, the longitudinal velocity power spectra EL(k) ∝ kαL are affected by the prominent peak centered around k ≈ 2π of the inter-particle distance due to the static structure factor of the hard-particle nature in contrast to the real turbulence. To reduce the strong peak effect to the actual values of αν (the subscript ‘ν’ refers to either T or L), we subsequently analyze the second-order velocity structure functions of S(2)ν(r) in real space, which show the power-law scalings of S(2)ν(r) ∝ rβν for both modes. From the values of βν, we deduce the corresponding αν from the scaling relations of αν = βν + 2. The deduced values of αν increase continuously with the shear amplitude γm, showing no signature of yielding transition, and are slightly larger than αν = 2.0 at the limit of γm → 0, which corresponds to the elastic limit of the system, for all γm. The inter-particle friction coefficients show no significant effect on the turbulent-like velocity fluctuations. Our findings suggest that the turbulent-like collective particle motions are governed by both the elasticity and plasticity in cyclically sheared granular materials.

Graphical abstract: Turbulent-like velocity fluctuations in two-dimensional granular materials subject to cyclic shear

Article information

Article type
Paper
Submitted
21 Oct 2021
Accepted
27 Dec 2021
First published
28 Dec 2021

Soft Matter, 2022,18, 983-989

Turbulent-like velocity fluctuations in two-dimensional granular materials subject to cyclic shear

A. Sun, Y. Wang, Y. Chen, J. Shang, J. Zheng, S. Yu, S. Su, X. Sun and J. Zhang, Soft Matter, 2022, 18, 983 DOI: 10.1039/D1SM01516H

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