颗粒系统中的旋转和平移动力学与流变学

IF 2.2 3区物理与天体物理 Q2 MECHANICS

Journal of Statistical Mechanics: Theory and Experiment Pub Date : 2024-06-25 DOI:10.1088/1742-5468/ad4e27

José Espinosa-Rodríguez, Pedro Díaz-Leyva and Rodrigo Sánchez

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引用次数: 0

摘要

本研究探讨了一个实验性颗粒系统在空气/水搅拌界面上的平移和旋转动力学及其对系统流变学的影响。研究发现旋转动力学和平移动力学是解耦的。平移动力学由一个与先前模拟工作中获得的模型兼容的改进型 Voigt 模型进行了很好的描述，而旋转运动则在两种截然不同的状态之间交替进行。后一种行为是通过边缘的集体效应来解释的。

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Rotational and translational dynamics and rheology in a granular system

The present work examines the translational and rotational dynamics, as well as their implications for system rheology, of an experimental granular system at an agitated air/water interface. A decoupling of rotational and translational dynamics is found. The translational dynamics is well-described by a modified Voigt model compatible to that obtained for prior simulational work, whereas the rotational motion alternates between two distinct states. The latter behaviour is accounted for in terms of collective effects at the edges.

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来源期刊

Journal of Statistical Mechanics: Theory and Experiment 物理-力学

CiteScore

4.50

自引率

12.50%

发文量

210

审稿时长

1.0 months

期刊介绍： JSTAT is targeted to a broad community interested in different aspects of statistical physics, which are roughly defined by the fields represented in the conferences called ''Statistical Physics''. Submissions from experimentalists working on all the topics which have some ''connection to statistical physics are also strongly encouraged. The journal covers different topics which correspond to the following keyword sections. 1. Quantum statistical physics, condensed matter, integrable systems Scientific Directors: Eduardo Fradkin and Giuseppe Mussardo 2. Classical statistical mechanics, equilibrium and non-equilibrium Scientific Directors: David Mukamel, Matteo Marsili and Giuseppe Mussardo 3. Disordered systems, classical and quantum Scientific Directors: Eduardo Fradkin and Riccardo Zecchina 4. Interdisciplinary statistical mechanics Scientific Directors: Matteo Marsili and Riccardo Zecchina 5. Biological modelling and information Scientific Directors: Matteo Marsili, William Bialek and Riccardo Zecchina