通过颗粒分解模拟研究开阔水域的粘性沉积物动力学

IF 2.8 Q2 MECHANICS
B. Vowinckel, K. Zhao, R. Zhu, E. Meiburg
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引用次数: 0

摘要

内聚颗粒流在环境流体动力学以及各种土木工程和过程工程应用中发挥着重要作用。然而,控制这种流动的标度定律、本构方程和连续体场描述目前还不如它们的非内聚对应物理解得好。颗粒分辨模拟是解决这一缺陷的重要工具,同时还有理论研究、实验室实验和实地研究。在这里,我们提供了一个教程,介绍了粘性流体中细粒沉积物的模拟,以及该方法迄今为止产生的一些代表性见解的概述。在简要回顾了范德华力作为水下沉积物悬浮液主要内聚效应的关键物理概念之后,我们讨论了将范德华力纳入基于浸入边界法的颗粒分解模拟中。我们随后描述了几个模型湍流中粘性颗粒的模拟,这些模拟证明了聚集体生长和破裂之间的统计平衡的出现。作为下一步,我们回顾了粘结力对密集悬浮物沉降行为的影响,然后再讨论淹没颗粒坍塌。在整篇文章中,我们强调了内聚颗粒流动领域的开放性研究问题,这些问题的研究可能受益于颗粒分辨模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating cohesive sediment dynamics in open waters via grain-resolved simulations
Abstract Cohesive particulate flows play an important role in environmental fluid dynamics, as well as in a wide variety of civil and process engineering applications. However, the scaling laws, constitutive equations and continuum field descriptions governing such flows are currently less well understood than for their non-cohesive counterparts. Grain-resolved simulations represent an essential tool for addressing this shortcoming, along with theoretical investigations, laboratory experiments and field studies. Here we provide a tutorial introduction to simulations of fine-grained sediments in viscous fluids, along with an overview of some representative insights that this approach has yielded to date. After a brief review of the key physical concepts governing van der Waals forces as the main cohesive effect for subaqueous sediment suspensions, we discuss their incorporation into particle-resolved simulations based on the immersed boundary method. We subsequently describe simulations of cohesive particles in several model turbulent flows, which demonstrate the emergence of a statistical equilibrium between the growth and break-up of aggregates. As a next step, we review the influence of cohesive forces on the settling behaviour of dense suspensions, before moving on to submerged granular collapses. Throughout the article, we highlight open research questions in the field of cohesive particulate flows whose investigation may benefit from grain-resolved simulations.
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来源期刊
CiteScore
2.40
自引率
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