Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ 08544, USA.
Proc Natl Acad Sci U S A. 2012 Oct 2;109(40):16012-7. doi: 10.1073/pnas.1211110109. Epub 2012 Sep 19.
Granular materials do not perform Brownian motion, yet diffusion can be observed in such systems when agitation causes inelastic collisions between particles. It has been suggested that axial diffusion of granular matter in a rotating drum might be "anomalous" in the sense that the mean squared displacement of particles follows a power law in time with exponent less than unity. Further numerical and experimental studies have been unable to definitively confirm or disprove this observation. We show two possible resolutions to this apparent paradox without the need to appeal to anomalous diffusion. First, we consider the evolution of arbitrary (non-point-source) initial data towards the self-similar intermediate asymptotics of diffusion by deriving an analytical expression for the instantaneous collapse exponent of the macroscopic concentration profiles. Second, we account for the concentration-dependent diffusivity in bidisperse mixtures, and we give an asymptotic argument for the self-similar behavior of such a diffusion process, for which an exact self-similar analytical solution does not exist. The theoretical arguments are verified through numerical simulations of the governing partial differential equations, showing that concentration-dependent diffusivity leads to two intermediate asymptotic regimes: one with an anomalous scaling that matches the experimental observations for naturally polydisperse granular materials, and another with a "normal" diffusive scaling (consistent with a "normal" random walk) at even longer times.
颗粒物质不表现出布朗运动,但在搅拌引起颗粒间非弹性碰撞时,可以在这类体系中观察到扩散现象。有人提出,在旋转鼓中颗粒物质的轴向扩散可能是“反常的”,因为颗粒的均方位移随时间遵循小于 1 的幂律。进一步的数值和实验研究还不能明确证实或否定这一观察结果。我们提出了两种可能的解决方案,而无需诉诸于反常扩散。首先,我们通过推导宏观浓度分布的瞬时崩塌指数的解析表达式,来考虑任意(非点源)初始数据向扩散的自相似中间渐近线的演化。其次,我们考虑了双分散混合物中的浓度依赖性扩散,并给出了这种扩散过程的自相似行为的渐近论证,对于这种扩散过程,不存在精确的自相似解析解。理论论证通过对控制偏微分方程的数值模拟得到了验证,结果表明,浓度依赖性扩散导致了两种中间渐近状态:一种是反常标度,与天然多分散颗粒物质的实验观察结果相匹配,另一种是更长时间的“正常”扩散标度(与“正常”随机游走一致)。