Unstructured un-split geometrical Volume-of-Fluid methods - A review

被引:71
作者
Maric, Tomislav [1 ]
Kothe, Douglas B. [2 ]
Bothe, Dieter [1 ]
机构
[1] Tech Univ Darmstadt, Math Modeling & Anal Grp, Darmstadt, Germany
[2] Oak Ridge Natl Lab, Exascale Comp Project, Oak Ridge, TN USA
关键词
Volume-of-Fluid (VOF); Un-split; Unstructured mesh; Review; INTERFACE RECONSTRUCTION; UNSPLIT-ADVECTION; SURFACE-TENSION; MULTIDIMENSIONAL ADVECTION; CONSERVATION ENFORCEMENT; ADAPTIVE SOLVER; TRACKING METHOD; VOF METHOD; ALGORITHMS; FRACTIONS;
D O I
10.1016/j.jcp.2020.109695
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Geometrical Volume-of-Fluid (VoF) methods mainly support structured meshes, and only a small number of contributions in the scientific literature report results with unstructured meshes and three spatial dimensions. Unstructured meshes are traditionally used for handling geometrically complex solution domains that are prevalent when simulating problems of industrial relevance. However, three-dimensional geometrical operations are significantly more complex than their two-dimensional counterparts, which is confirmed by the ratio of publications with three-dimensional results on unstructured meshes to publications with two-dimensional results or support for structured meshes. Additionally, unstructured meshes present challenges in serial and parallel computational efficiency, accuracy, implementation complexity, and robustness. Ongoing research is still very active, focusing on different issues: interface positioning in general polyhedra, estimation of interface normal vectors, advection accuracy, and parallel and serial computational efficiency. This survey tries to give a complete and critical overview of classical, as well as contemporary geometrical VOF methods with concise explanations of the underlying ideas and sub-algorithms, focusing primarily on unstructured meshes and three dimensional calculations. Reviewed methods are listed in historical order and compared in terms of accuracy and computational efficiency. (C) 2020 Elsevier Inc. All rights reserved.
引用
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页数:37
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