A fully explicit SPH method for modeling 2-D incompressible two-phase fluid-structure interaction with modified periodic and open boundary conditions

IF 2.5 2区 数学 Q1 MATHEMATICS, APPLIED
Mehran Vakilha
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引用次数: 0

Abstract

This study introduces a novel and effective method for simulating two-phase fluid-structure interactions (FSI) using the Explicit Incompressible Smoothed Particle Hydrodynamics (EISPH) approach. At the heart of our method is an explicit SPH framework specifically designed for two-phase rigid-body FSI, which significantly enhances computational accuracy and efficiency. A standout feature is the introduction of ghost particles, which facilitate periodic and open boundary conditions, ensuring stability and simplicity in complex fluid environments. Additionally, we employ a modified continuum surface tension model (M-CSF) to improve the smoothness and balance of force distribution at fluid interfaces. In a groundbreaking aspect of our work, we introduce and solve a new benchmark involving two-phase flow past a square obstacle for the first time. Alongside this benchmark, we validate our method against established cases such as single-phase and two-phase Poiseuille flow and Kelvin-Helmholtz instability. Through these validations, the EISPH-VKF method demonstrates its robustness and capability to accurately capture the intricate physics involved in both single- and two-phase FSI problems.
具有修正周期和开放边界条件的二维不可压缩两相流固相互作用的完全显式SPH方法
本文介绍了一种新的、有效的模拟两相流固耦合(FSI)的方法——显式不可压缩光滑粒子流体力学(EISPH)方法。该方法的核心是专门为两相刚体FSI设计的显式SPH框架,该框架显著提高了计算精度和效率。一个突出的特点是引入了鬼粒子,它促进了周期性和开放的边界条件,确保了复杂流体环境中的稳定性和简洁性。此外,我们采用改进的连续介质表面张力模型(M-CSF)来改善流体界面的平滑性和力分布的平衡性。在我们工作的一个开创性方面,我们首次引入并解决了一个涉及两相流通过方形障碍物的新基准。除了这个基准之外,我们还针对既定的情况验证了我们的方法,例如单相和两相泊泽维尔流和开尔文-亥姆霍兹不稳定性。通过这些验证,EISPH-VKF方法证明了其鲁棒性和准确捕获单相和两相FSI问题中涉及的复杂物理的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computers & Mathematics with Applications
Computers & Mathematics with Applications 工程技术-计算机:跨学科应用
CiteScore
5.10
自引率
10.30%
发文量
396
审稿时长
9.9 weeks
期刊介绍: Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).
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