不可压缩流体动力学的拉格朗日混合元粒子法

IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Huangcheng FANG, Zhen-Yu YIN
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引用次数: 0

摘要

传统的求解不可压缩流体动力学问题的数值方法面临着明显的局限性,包括欧拉方法中的对流不稳定性和界面跟踪,拉格朗日网格方法中的严重单元畸变以及基于粒子方法的计算精度降低。为了克服这些挑战,本文提出了一种新的拉格朗日混合元粒子法(LHEPM),该方法结合了基础元和材料粒子两种离散化方案。底层元素的设计没有存储历史变量,可以在计算过程中动态地重新生成。这些元素作为计算域内离散物理场的临时工具,随后通过核函数将其空间插值重建到粒子上。所提出的框架允许无缝结合各种有限元技术,如边界条件执行、接触算法和压力稳定,而无需修改。通过对几个标准流体问题的应用,验证了LHEPM的有效性和性能。与其他最先进的方法相比,所提出的LHEPM避免了对对流项的复杂处理和基于欧拉网格的方法(如有限体积法(FVM))通常需要的自由表面跟踪;其独特的插值技术和最优的粒子积分使其精度明显高于基于粒子的方法,如光滑粒子流体动力学(SPH);动态网格再生进一步解决了传统拉格朗日有限元法固有的网格畸变问题,使该方法成为一种精确、高效、鲁棒的不可压缩流体动力学模拟框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lagrangian hybrid element particle method (LHEPM) for incompressible fluid dynamics
Traditional numerical approaches for solving incompressible fluid dynamics problems face notable limitations, including convective instability and interface tracking in Eulerian approaches, severe element distortion in Lagrangian mesh-based methods, and reduced computational accuracy in particle-based approaches. To overcome these challenges, this paper develops a new Lagrangian Hybrid Element Particle Method (LHEPM) that combines two discretization schemes: underlying elements and material particles. The underlying elements, designed without storing historical variables, can be dynamically regenerated during the computation. These elements serve as temporary tools for discretizing physical fields within the computational domain, with their spatial interpolation subsequently reconstructed onto the particles via a kernel function. The proposed framework permits the seamless incorporation of diverse finite element techniques, such as boundary condition enforcement, contact algorithms, and pressure stabilization, without requiring modifications. The effectiveness and performance of LHEPM are validated through its application to several standard fluid problems. Compared to other state-of-the-art methods, the proposed LHEPM avoids the need for complex treatment of convective terms and free-surface tracking typically required in Eulerian mesh-based approaches, such as the finite volume method (FVM); its unique interpolation technique and optimal particle integration enable significantly higher accuracy than particle-based methods like Smoothed Particle Hydrodynamics (SPH); dynamic mesh regeneration further resolves the mesh distortion issues inherent in traditional Lagrangian finite element method (FEM), making the proposed method a precise, efficient, and robust framework for incompressible fluid dynamics simulations.
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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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