Department of Mathematical Sciences, New Jersey Institute of Technology, Newark, New Jersey 07102, USA.
Department of Physics, Naval Postgraduate School, Monterey, California 93943, USA.
Phys Rev E. 2018 Jan;97(1-1):012906. doi: 10.1103/PhysRevE.97.012906.
The impact of an intruder on granular matter leads to the formation of mesoscopic force networks, which were seen particularly clearly in the recent experiments carried out with photoelastic particles [Clark et al., Phys. Rev. Lett. 114, 144502 (2015)PRLTAO0031-900710.1103/PhysRevLett.114.144502]. These force networks are characterized by complex structure and evolve on fast time scales. While it is known that total photoelastic activity in the granular system is correlated with the acceleration of the intruder, it is not known how the structure of the force network evolves during impact, and if there are dominant features in the networks that can be used to describe the intruder's dynamics. Here, we use topological tools, in particular persistent homology, to describe these features. Persistent homology allows quantification of both structure and time evolution of the resulting force networks. We find that there is a clear correlation of the intruder's dynamics and some of the topological measures implemented. This finding allows us to discuss which properties of the force networks are most important when attempting to describe the intruder's dynamics. In particular, we find that the presence of loops in the force network, quantified by persistent homology, is strongly correlated to the deceleration of the intruder. In some cases, particularly for the impact on soft particles, the measures derived from the persistence analysis describe the deceleration of the intruder even better than the total photoelastic activity. We are also able to define an upper bound on the relevant time scale over which the force networks evolve.
闯入者对颗粒物质的影响会导致介观力网络的形成,这在最近使用光弹性颗粒进行的实验中尤为明显[Clark 等人,物理评论快报 114, 144502 (2015)PRLTAO0031-900710.1103/PhysRevLett.114.144502]。这些力网络的结构复杂,且在快速时间尺度上演变。虽然已经知道颗粒系统中的总光弹性活性与闯入者的加速度相关,但尚不清楚力网络在冲击过程中的结构如何演变,以及网络中是否存在可以用来描述闯入者动力学的主要特征。在这里,我们使用拓扑工具,特别是持久同调,来描述这些特征。持久同调允许量化所产生的力网络的结构和时间演变。我们发现闯入者的动力学与所实施的一些拓扑测量之间存在明显的相关性。这一发现使我们能够讨论在尝试描述闯入者动力学时,力网络的哪些特性最重要。特别是,我们发现力网络中存在的循环(由持久同调量化)与闯入者的减速强烈相关。在某些情况下,特别是对于软颗粒的冲击,持久性分析得出的测量值甚至比总光弹性活性更能描述闯入者的减速。我们还能够定义力网络演变的相关时间尺度的上限。