| Literature DB >> 27924928 |
Andrea Gnoli1, Antonio Lasanta1,2, Alessandro Sarracino1, Andrea Puglisi1.
Abstract
Granular media take on great importance in industry and geophysics, posing a severe challenge to materials science. Their response properties elude known soft rheological models, even when the yield-stress discontinuity is blurred by vibro-fluidization. Here we propose a broad rheological scenario where average stress sums up a frictional contribution, generalizing conventional μ(I)-rheology, and a kinetic collisional term dominating at fast fluidization. Our conjecture fairly describes a wide series of experiments in a vibrofluidized vane setup, whose phenomenology includes velocity weakening, shear thinning, a discontinuous thinning transition, and gaseous shear thickening. The employed setup gives access to dynamic fluctuations, which exhibit a broad range of timescales. In the slow dense regime the frequency of cage-opening increases with stress and enhances, with respect to μ(I)-rheology, the decrease of viscosity. Diffusivity is exponential in the shear stress in both thinning and thickening regimes, with a huge growth near the transition.Entities:
Year: 2016 PMID: 27924928 PMCID: PMC5141475 DOI: 10.1038/srep38604
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Schematic behavior of rheological functions introduced in the text: (a) focus on low values of I; (b) focus on larger values of I. In the two plots: μ(I) is the standard I-dependent friction coefficient, is a modified version including the effect of activated fluidization (see Eq. (3) in the text), α(I) is the Bernoulli pressure correction and finally B(I) is the Bagnold rheology function. Values of the constants are: μ2 = 1, μ1 = 0.01 in red, blue and purple curves, μ1 = 0.1 in cyan curve, I0 = 0.05, I1 = 0.001, I2 = 1, I3 = 10, c = 1. The three drawings represent three characteristic regimes of fluidization: the original μ(I) rheology describes low (or zero) fluidization, the modified rheology includes the first effects of fluidization, the further modifications appearing in the full Eq. (2) apply to large values of Γ.
Figure 2Experimental stress-strain flow curves.
Each series of data with the same colour belongs to a value of the shaking amplitude Γ. In frame (a) the results are obtained with N = 2600 spheres of steel, with values of Γ = 3.4, 6.7, 11.6, 18.3, 27.4, 38.4 (from green to purple). In frame (b) N = 1300 spheres of steel, with values of Γ = 2.4, 5, 8.9, 14.6, 22.5, 31.9 (from green to purple). In frame (c) N = 2600 spheres of glass, with values of Γ = 0 (black) and Γ = 1.1, 8.7, 14.3, 22.1, 32, 43 (from green to purple). In frame (d) N = 1300 spheres of glass, with values Γ = 0 (black) and Γ = 9, 14.7, 22.5, 32.4 (from green to gray). In frame (e) N = 2600 spheres of delrin, with values Γ = 0 (black) and Γ = 0.8, 1.3, 3.7 (from green to gray). Finally, frame (f) displays the results of N = 600 spheres of steel, with values of Γ = 6.9, 8.6, 10.7, 13.2, 19.2, 26.2 (from green to purple). Dashed lines are best fits with Eq. (2). The values of the fits’ parameters are given in Supplementary Table S2.
Figure 3Frame (a) Peclet, Reynolds and Mach numbers, as functions of the inertial number I, in experiments at p00 = 911 Pa (green symbols and lines, 2600 spheres of steel shaken at Γ = 3.4), at p00 = 540 Pa (red symbols and lines, 1300 spheres of steel shaken at Γ = 2.4), and at p00 = 78 Pa (blue symbols and lines, 600 spheres of steel shaken at Γ = 10.7). Frame (b) diffusivity D, for all three experiments as in frame (a), and cage-exit frequency f (only for experiment at p00 = 911 Pa), as function of the average measured stress σ. In frame (b) the dashed lines represent exponential fits.