两相流体流动的三维曲线界面重构算法

IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Computational Physics Pub Date : 2024-10-05 DOI:10.1016/j.jcp.2024.113489
Yujie Chen , Junhua Gong , Dongliang Sun , Dongxu Han , Peng Wang , Bo Yu , Wen-Quan Tao
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引用次数: 0

摘要

曲线界面重构算法在二维两相流中受到了极大关注。然而,在三维场景中仍然缺乏这种算法。本文首次提出了一种新型三维曲线界面重建(CIR)算法,以解决结构网格中的这一难题。具体来说,采用球面的一部分来重建三维曲线界面段,半径和中心坐标分别由曲率和质量守恒约束决定。为了提高曲率精度,提出了一种基于球面的迭代重建(SIR)算法,用于计算三维曲线界面的重建距离函数(RDF)。涉及球形、椭圆形和立方体物体界面重建的各种测试表明,耦合 SIR 和 CIR(SIR-CIR,由 SCIR 简化)方法比许多常用方法实现了更高的精度,尤其是在粗网格分辨率下。此外,SCIR 方法还具有在两相流研究中直接实施和编码界面重建的优势。与同样采用迭代法求解 RDF 的流体体积和液面集耦合(VOSET)方法相比,这种优势可降低计算成本。
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A three-dimensional curve interface reconstruction algorithm for two-phase fluid flow
The curve interface reconstruction algorithm has received significant attention in the context of two-dimensional two-phase flow. However, it remains absent in the three-dimensional scenario. This paper proposes a novel three-dimensional curve interface reconstruction (CIR) algorithm to address this challenge within structured meshes for the first time. Specifically, a portion of the spherical surface is employed to reconstruct the three-dimensional curve interface segment, with the radius and center coordinates determined by curvature and mass conservation constraints, respectively. To enhance curvature accuracy, a sphere-based iterative reconstruction (SIR) algorithm is proposed to calculate the reconstructed distance function (RDF) for the three-dimensional curve interface. Various tests involving the interface reconstruction of spherical, ellipsoidal, and cubic objects demonstrate that the coupled SIR and CIR (SIR-CIR, simplified by SCIR) method achieves higher accuracy than many popular methods, particularly with coarse mesh resolutions. Additionally, the SCIR method offers the advantages of straightforward implementation and coding for interface reconstruction in two-phase flow research. This advantage results in reduced computational costs compared to the coupled volume-of-fluid and level set (VOSET) method, which also utilizes an iterative method to solve RDF.
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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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