强团聚颗粒凝胶的压缩固结
Compressive consolidation of strongly aggregated particle gels
摘要：
颗粒凝胶的压缩屈服应力表现出高度的非线性依赖于包装分数。我们研究了连续压缩过程，讨论了粒子尺度重排对压缩分数的影响。单轴压缩的2D模拟应用于分形网络，并评估了所需的压缩应力的范围广泛的包装分数接近紧密包装。压缩用于减小特征结构实体的大小（即结构的相关长度）。我们观察到三个阶段的压缩：（I）弹性主导制度;（II）单模塑性制度，其中网络强度由典型的长度尺度和滚动模式决定;和（III）多模塑性制度，其中滑动模式和连接中断是重要的。我们还研究了压缩下分形相关性的丢失方式。结果表明，分形维数$D_{\mathrm{f}}$和相关长度$ξ$均从压缩初期开始发生变化，这与理论模型中通常的假设不同。
英文摘要：
The compressive yield stress of particle gels shows a highly nonlinear dependence on the packing fraction. We have studied continuous compression processes, and discussed the packing fraction dependence with the particle scale rearrangements. The 2D simulation of uniaxial compression was applied to fractal networks, and the required compressive stresses were evaluated for a wide range of packing fractions that approached close packing. The compression acts to reduce the size of the characteristic structural entities (i.e. the correlation length of the structure). We observed three stages of compression: (I) elastic-dominant regime; (II) single-mode plastic regime, where the network strengths are determined by the typical length scale and the rolling mode; and (III) multi-mode plastic regime, where sliding mode and connection breaks are important. We also investigated the way of losing the fractal correlation under compression. It turns out that both fractal dimension $D_{\mathrm{f}}$ and correlation length $ξ$ start to change from the early stage of compression, which is different from the usual assumption in theoretical models.
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