模拟拉格朗日熔化问题的前跟踪浸入式边界框架

IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Computational Physics Pub Date : 2025-03-15 Epub Date: 2025-01-20 DOI:10.1016/j.jcp.2025.113762
Kevin Zhong , Christopher J. Howland , Detlef Lohse , Roberto Verzicco
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引用次数: 0

摘要

在所谓的拉格朗日熔化问题中,浸入流体介质中的固体随其从固体到液体的相变而自由旋转和平移。这种结构可以归类为耦合相变的流固相互作用(FSI)问题。本文提出了一种能够模拟这些拉格朗日熔化问题的数值方法,并采用了前跟踪浸入边界(IB)方法。我们使用移动最小二乘IB框架,这是一种成熟的方法,用于模拟各种FSI问题[1],[2],并通过在界面额外施加Stefan条件来扩展该框架以适应熔化。在典型的前跟踪方法的精神下,浸入固体用离散三角网格表示,该网格与求解控制流动方程的欧拉网格分开。这些方法的一个已知要求是需要可比较的欧拉和拉格朗日网格间距,以稳定两个网格之间的插值和扩展操作。对于熔化的物体,除非引入介入网格,否则不可避免地违反了这一要求。因此,我们的工作提出了一种新的动态网格划分程序来克服这一点。重划分是基于三角拉格朗日网格的逐渐粗化,由于其操作的增量和局部性质,每个时间步的计算负担可以忽略不计,使其成为可扩展的方法。此外,粗化与Kuprat等人详细介绍的体积守恒平滑过程相结合,确保在重划分步骤中零净体积变化以达到机器精度。这一附加特征使我们目前的方法高度专门化,用于研究熔融问题,其中熔融固体体积的精确测量通常是主要的预测量。
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A front-tracking immersed-boundary framework for simulating Lagrangian melting problems
In so-called Lagrangian melting problems, a solid immersed in a fluid medium is free to rotate and translate in tandem with its phase-change from solid to liquid. Such configurations may be classified as a fluid-solid interaction (FSI) problem coupled to phase-change. Our present work proposes a numerical method capable of simulating these Lagrangian melting problems and adopts a front-tracking immersed-boundary (IB) method. We use the moving least squares IB framework, a well-established method for simulating a diverse range of FSI problems [1], [2] and extend this framework to accommodate melting by additionally imposing the Stefan condition at the interface. In the spirit of canonical front-tracking methods, the immersed solid is represented by a discrete triangulated mesh which is separate from the Eulerian mesh in which the governing flow equations are solved. A known requirement for these methods is the need for comparable Eulerian and Lagrangian grid spacings to stabilise interpolation and spreading operations between the two grids. For a melting object, this requirement is inevitably violated unless interventional remeshing is introduced. Our work therefore presents a novel dynamic remeshing procedure to overcome this. The remeshing is based on a gradual coarsening of the triangulated Lagrangian mesh and amounts to a negligible computational burden per timestep owing to the incremental and local nature of its operations, making it a scalable approach. Moreover, the coarsening is coupled to a volume-conserving smoothing procedure detailed by Kuprat et al. [3], ensuring a zero net volume change in the remeshing step to machine precision. This added feature makes our present method highly specialised to the study of melting problems, where precise measurements of the melting solid's volume is often the primary predictive quantity of interest.
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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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