Richard Patrick, Taberlet Nicolas
Institut de Physique de Rennes, UMR CNRS 6251, Université de Rennes I, Campus de Beaulieu, F-35042 Rennes, France.
Université de Lyon, École Normale Supérieure, Laboratoire de Physique, 46 allée d'Italie, F-69007 Lyon, France.
Soft Matter. 2008 Jun 20;4(7):1345-1348. doi: 10.1039/b717129c.
The discrete elements method (DEM) has been widely used in the past decade to study a wide variety of granular systems. The use of numerical simulations constitutes an interesting alternative to the experiment as they can shed new light on a phenomenon as they can overcome experimental obstacles. A lot of granular phenomena can be studied in 2D or with a limited number of grains but the peculiar phenomenon of axial segregation (or banding) is 3-dimensional by nature and requires a large number of grains. Only very recently has it been made possible to simulate 3D systems on a large scale. This highlight reviews recent work on this topic and attempts to show what knowledge is gained from DEM numerical simulations. The perspectives on the future benefit of this method as well as the challenges it faces are discussed.
在过去十年中，离散单元法（DEM）已被广泛用于研究各种颗粒系统。数值模拟的使用构成了一种有趣的实验替代方法，因为它们可以为一种现象提供新的见解，并且可以克服实验障碍。许多颗粒现象可以在二维或使用有限数量的颗粒进行研究，但轴向分离（或带状分布）这一特殊现象本质上是三维的，需要大量颗粒。直到最近才有可能大规模模拟三维系统。本综述重点介绍了关于该主题的近期工作，并试图展示从DEM数值模拟中获得的知识。还讨论了该方法未来的益处以及所面临的挑战。
