We detect strong force networks in a dense high-shear system and study their structure and stability in response to variations in the shearing rate. The presence of strong force networks, which usually have a heterogeneous structure, restricts particle movements and can impose non-local mechanisms of momentum transfer. We identify such networks in a dense high-shear system using a community detection algorithm. Moreover, we explain the association between the mechanisms of momentum transfer and the structure, population, strength, and stability of the force networks by tracking the spatial and temporal evolution of the detected networks. In addition, we show that the assumption of a monodisperse assembly of particles leads to an unrealistic enlargement of the force networks, underestimating both the rate of energy dissipation and the rate of mixing.

我们在密集的高剪切系统中检测强力网络，并研究其结构和稳定性以应对剪切速率的变化。通常具有异质结构的强力网络的存在限制了粒子的运动，并可能施加非局部的动量传递机制。我们使用社区检测算法在密集的高剪切系统中识别此类网络。此外，我们通过跟踪检测到的网络的时空演化来解释动量传递机制与力网络的结构，总体，强度和稳定性之间的关联。此外，我们证明了粒子单分散组装的假设会导致力网络的不切实际的扩大，