何去何从,波浪?用于直接范德华模拟(DVS)的 Dispersive-SUPG

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Computer Methods in Applied Mechanics and Engineering Pub Date : 2024-10-28 DOI:10.1016/j.cma.2024.117471
Tianyi Hu, Hector Gomez
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引用次数: 0

摘要

在多相流中,解由双曲波和色散波组合主导的偏微分方程很常见。我们的研究表明,对于这些问题,应用基于流线-上风/Petrov-Galerkin(SUPG)的经典稳定有限元而不考虑解的色散特征会导致顺风离散化和不稳定的数值解。为了应对这一挑战,我们提出了分散-SUPG(D-SUPG)公式。我们将 Dispersive-SUPG 公式应用于 Korteweg-de Vries 方程和直接范德华模拟。数值结果表明,Dispersive-SUPG 是一种高阶精确、高效的稳定方法,能够在双曲波或色散波主导解的情况下产生稳定的结果。最后,我们应用所提出的算法研究了二维楔形和三维半球上的空化流,结果与理论和实验吻合。
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Quo vadis, wave? Dispersive-SUPG for direct van der Waals simulation (DVS)
Partial differential equations whose solution is dominated by a combination of hyperbolic and dispersive waves are common in multiphase flows. We show that for these problems, the application of classical stabilized finite elements based on Streamline-Upwind/Petrov–Galerkin (SUPG) without accounting for the dispersive features of the solution leads to a downwind discretization and an unstable numerical solution. To address this challenge, we propose the Dispersive-SUPG (D-SUPG) formulation. We apply the Dispersive-SUPG formulation to the Korteweg–de Vries equation and Direct van der Waals Simulations. Numerical results show that Dispersive-SUPG is a high-order accurate and efficient stabilized method, capable of producing stable results when the solution is dominated by either hyperbolic or dispersive waves. We finally applied the proposed algorithm to study cavitating flow over a 2D wedge and a 3D hemisphere and obtained good agreement with theory and experiments.
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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