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Maximum disorder model for dense steady-state flow of granular materials

机译:颗粒状材料致密稳态流动的最大无序模型

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摘要

A flow model is developed for dense shear-driven granular flow. As described in the geomechanics literature, a critical state condition is reached after sufficient shearing beyond an initial static packing. During further shearing at the critical state, the stress, fabric, and density remain nearly constant, even as particles are being continually rearranged. The paper proposes a predictive framework for critical state flow, viewing it as a condition of maximum disorder at the micro-scale. The flow model is constructed in a two-dimensional setting from the probability density of the motions, forces, and orientations of inter-particle contacts. Constraints are applied to this probability density: constant mean stress, constant volume, consistency of the contact dissipation rate with the stress work, and the fraction of sliding contacts. The differential form of Shannon entropy, a measure of disorder, is applied to the density, and the Jaynes formalism is used to find the density of maximum disorder in the underlying phase space. The resulting distributions of contact force, movement, and orientation are compared with two-dimensional DEM simulations of biaxial compression. The model favorably predicts anisotropies of the contact orientations, contact forces, contact movements, and the orientations of those contacts undergoing slip. The model also predicts the relationships between contact force magnitude and contact motion. The model is an alternative to affine-field descriptions of granular flow. (C) 2015 Elsevier Ltd. All rights reserved.
机译:建立了一种用于致密剪切驱动颗粒流动的流动模型。如地质力学文献所述,在超过初始静态填充量的充分剪切之后,达到了临界状态条件。在临界状态下进行进一步剪切时,即使不断重新排列颗粒,应力,织物和密度也几乎保持恒定。本文提出了一种临界状态流的预测框架,将其视为微观尺度上最大无序状态。流动模型是根据粒子间接触的运动,力和方向的概率密度在二维设置中构建的。对该概率密度施加约束:恒定平均应力,恒定体积,接触耗散率与应力功的一致性以及滑动接触的分数。将Shannon熵的微分形式(一种无序量度)应用于密度,并使用Jaynes形式主义来找到底层相空间中最大无序的密度。将所得的接触力,运动和方向分布与双轴压缩的二维DEM模拟进行比较。该模型有利地预测了接触取向,接触力,接触运动以及经历滑移的那些接触的取向的各向异性。该模型还预测了接触力大小与接触运动之间的关系。该模型是仿射流仿射流描述的替代方法。 (C)2015 Elsevier Ltd.保留所有权利。

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