不溶性表面活性剂动力学的混合方法

IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Computational Physics Pub Date : 2024-11-20 DOI:10.1016/j.jcp.2024.113602
Yu Fan , Shuoguo Zhang , Xiaoliang Li , Yujie Zhu , Xiangyu Hu , Nikolaus A. Adams
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引用次数: 0

摘要

本文提出了一种不溶性表面活性剂动力学的混合方法。Navier-Stokes方程采用欧拉法求解,并用水平集描述界面,而表面活性剂的输运采用单层拉格朗日粒子法跟踪。因此,该混合方法继承了水平集方法处理拓扑变化的能力和欧拉方法的高计算效率。另一方面,拉格朗日粒子法保证了质量守恒,并且不需要拓扑信息(连通性)。为了防止拉格朗日粒子聚类,提出了一种新的拉格朗日粒子重划分方法。它不仅可以生成适应界面几何形状的粒子分布,特别是在极大变形和强拉伸的情况下,而且可以精确地重建具有质量守恒的界面上的浓度场。此外,通过提出自适应重网格控制,我们优化了重网格频率,以平衡计算成本和精度。通过二维和三维实例验证了该混合方法的守恒性、准确性和收敛性。
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A hybrid method for insoluble surfactant dynamics
In this paper, we develop a hybrid method for insoluble surfactant dynamics. While the Navier-Stokes equations are solved by an Eulerian method with level set describing the interfaces, the surfactant transport is tracked by a single-layer Lagrangian particle method. Consequently, this hybrid method inherits the ability in handling topology changes from the level-set method and high computational efficiency from the Eulerian method. On the other hand, the Lagrangian particle method ensures mass conservation and does not require topology information (connectivity). To prevent clustering of Lagrangian particles, a novel remeshing approach is proposed. It not only enables the generation of particle distributions adaptive to interface geometries, especially for extremely large deformation and strong stretching, but also provides an accurate reconstruction of concentration fields on the interface with mass conservation. Furthermore, by proposing an adaptive remeshing control, we optimize the remeshing frequency to balance computational costs and accuracy. Conservation, accuracy, and convergence of the present hybrid method are validated with 2-D and 3-D test cases.
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来源期刊
Journal of Computational Physics
Journal of Computational Physics 物理-计算机:跨学科应用
CiteScore
7.60
自引率
14.60%
发文量
763
审稿时长
5.8 months
期刊介绍: Journal of Computational Physics thoroughly treats the computational aspects of physical problems, presenting techniques for the numerical solution of mathematical equations arising in all areas of physics. The journal seeks to emphasize methods that cross disciplinary boundaries. The Journal of Computational Physics also publishes short notes of 4 pages or less (including figures, tables, and references but excluding title pages). Letters to the Editor commenting on articles already published in this Journal will also be considered. Neither notes nor letters should have an abstract.
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