曲率流下前沿传播的定向分割流体体积技术

IF 1.7 4区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Ali Fakhreddine, Karim Alamé, Krishnan Mahesh
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引用次数: 0

摘要

本文设计了一种定向分割流体容积(VOF)方法,用于在曲率相关速度条件下演化界面。该方法对界面进行几何重构,并利用拓扑体积守恒约束技术对体积分数进行平移。所提出的方法利用速度函数中曲率的作用类似于相应双曲守恒定律中粘度的作用这一思想,来传播可能存在奇点的复杂界面。这种方法的优点是实施简单,并可直接扩展到更复杂的多相系统,通过使用能量函数来表述界面演变问题,从而推导出界面平移速度的表达式。本文讨论了基于流体体积公式的数值细节,并强调了曲率估计的重要性。最后,使用所设计的方法对传统上通过水平集(LS)方法研究的典型曲线和曲面进行了测试,并将结果与 LS 方面的现有工作进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Directionally-split volume-of-fluid technique for front propagation under curvature flow

Directionally-split volume-of-fluid technique for front propagation under curvature flow

A directionally-split volume-of-fluid (VOF) methodology for evolving interfaces under curvature-dependent speed is devised. The interface is reconstructed geometrically and the volume fraction is advected with a technique to incorporate a topological volume conservation constraint. The proposed approach uses the idea that the role of curvature in a speed function V $$ \mathbf{V} $$ is analogous to the role of viscosity in the corresponding hyperbolic conservation law to propagate complex interfaces where singularities may exist. The approach has the advantage of simple implementation and straightforward extension to more complex multiphase systems by formulating the interface evolution problem using energy functionals to derive an expression for the interface-advecting velocity. The numerical details of the volume-of-fluid based formulation are discussed with emphasis on the importance of curvature estimation. Finally, canonical curves and surfaces traditionally investigated by the level set (LS) method are tested with the devised approach and the results are compared with existing work in LS.

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来源期刊
International Journal for Numerical Methods in Fluids
International Journal for Numerical Methods in Fluids 物理-计算机:跨学科应用
CiteScore
3.70
自引率
5.60%
发文量
111
审稿时长
8 months
期刊介绍: The International Journal for Numerical Methods in Fluids publishes refereed papers describing significant developments in computational methods that are applicable to scientific and engineering problems in fluid mechanics, fluid dynamics, micro and bio fluidics, and fluid-structure interaction. Numerical methods for solving ancillary equations, such as transport and advection and diffusion, are also relevant. The Editors encourage contributions in the areas of multi-physics, multi-disciplinary and multi-scale problems involving fluid subsystems, verification and validation, uncertainty quantification, and model reduction. Numerical examples that illustrate the described methods or their accuracy are in general expected. Discussions of papers already in print are also considered. However, papers dealing strictly with applications of existing methods or dealing with areas of research that are not deemed to be cutting edge by the Editors will not be considered for review. The journal publishes full-length papers, which should normally be less than 25 journal pages in length. Two-part papers are discouraged unless considered necessary by the Editors.
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