应用于自由表面流的粒子有限元法的德拉内细化算法

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY International Journal for Numerical Methods in Engineering Pub Date : 2024-06-19 DOI:10.1002/nme.7554
Thomas Leyssens, Michel Henry, Jonathan Lambrechts, Jean-François Remacle
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引用次数: 0

摘要

本文提出了使用粒子有限元法(PFEM)计算自由表面流动的两个贡献。PFEM 基于拉格朗日方法:一组粒子定义流体,每个粒子与一个速度矢量相关联。然后,与纯粹的拉格朗日方法不同,所有粒子都由三角形网格连接。困难在于如何从网格中找到自由表面。这需要确定网格中哪些元素是流体域的一部分,并定义边界--自由表面。然后,在流体域上求解不可压缩的纳维-斯托克斯方程,并使用有限元求解器的速度矢量更新粒子位置。我们的第一个贡献是提出了一种从理论上保证质量的网格适配方法:网格生成领域在保证最终网格质量的网格适配方法方面积累了丰富的经验和认识。我们在此使用的方法基于 Delaunay 细分策略,允许插入和移除节点,同时逐步提高网格质量。我们的研究表明,所提出的方法可以创建稳定、平滑的自由曲面几何图形。PFEM 的一个特点是只对一个流体域建模,即使其形状和拓扑结构发生了变化。不过,有必要对域边界施加条件。当边界为自由表面时,另一侧的流体不被建模,而是由外部压力表示。在外部自由表面边界上,可以施加大气压力。不过,也可能存在内部自由表面:流体可以完全包裹空腔形成气泡。维持这些气泡体积所需的压力是先验未知的。例如,大气压力不足以阻止气泡瘪下去并最终消失。我们的第二个贡献是提出了一种多点约束方法,以强制执行这些空气泡的全局不可压缩性。我们的研究表明,这种方法可以对涉及两种密度差异较大流体(例如水和空气)的气泡流进行精确建模,同时只对较重的流体进行建模。
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A Delaunay refinement algorithm for the particle finite element method applied to free surface flows

This article proposes two contributions to the calculation of free-surface flows using the particle finite element method (PFEM). The PFEM is based upon a Lagrangian approach: a set of particles defines the fluid and each particle is associated with a velocity vector. Then, unlike a pure Lagrangian method, all the particles are connected by a triangular mesh. The difficulty lies in locating the free surface from this mesh. It is a matter of deciding which of the elements in the mesh are part of the fluid domain, and to define a boundary—the free surface. Then, the incompressible Navier–Stokes equations are solved on the fluid domain and the particle position is updated using the velocity vector from the finite element solver. Our first contribution is to propose an approach to adapt the mesh with theoretical guarantees of quality: the mesh generation community has acquired a lot of experience and understanding about mesh adaptation approaches with guarantees of quality on the final mesh. The approach we use here is based on a Delaunay refinement strategy, allowing to insert and remove nodes while gradually improving mesh quality. We show that what is proposed allows to create stable and smooth free surface geometries. One characteristic of the PFEM is that only one fluid domain is modeled, even if its shape and topology change. It is nevertheless necessary to apply conditions on the domain boundaries. When a boundary is a free surface, the flow on the other side is not modeled, it is represented by an external pressure. On the external free surface boundary, atmospheric pressure can be imposed. Nevertheless, there may be internal free surfaces: the fluid can fully encapsulate cavities to form bubbles. The pressure required to maintain the volume of those bubbles is a priori unknown. For example, the atmospheric pressure would not be sufficient to prevent the bubbles from deflating and eventually disappearing. Our second contribution is to propose a multi-point constraint approach to enforce global incompressibility of those empty bubbles. We show that this approach allows to accurately model bubbly flows that involve two fluids with large density differences, for instance water and air, while only modeling the heavier fluid.

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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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