Accurate prediction of generalized oil–water interface evolution with a novel multiphase SPH scheme

IF 2.8 3区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Chun-Yao Zheng, Fei-Guo Chen, Lin Zhang, Yuan Zhou
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引用次数: 0

Abstract

In multiphase SPH method, accurate prediction of oil–water interface is a key, and a major source of failure is due to the nonphysical pressure oscillation. Then in this work, a novel multiphase SPH scheme is designed to solve this problem by integrating several treatments of pressure oscillation together, when the generalized oil–water two-phase flows are simulated. These treatments are: (1) the revised diffusive term which is added in the continuity equation by replacing the original density with the density increment; (2) the corrected density re-initialization during whose implementation different-phase fluid particles must be converted into the imaginary same-phase ones; (3) the particle shifting technique to distribute particles more uniformly. Through the simulation of several generalized oil–water two-phase flow problems as well as comparison with reference solutions, it is validated that our novel SPH scheme is stable, accurate and with less dissipation, and can avoid particle penetration near interface. Finally, a new and more complex generalized oil–water two-phase flow problem is designed and simulated to further demonstrate the above advantages of our SPH scheme.

Abstract Image

利用新型多相 SPH 方案精确预测广义油水界面演变
在多相 SPH 方法中,准确预测油水界面是一个关键,而失败的一个主要原因是非物理压力振荡。因此,本研究设计了一种新型多相 SPH 方案,在模拟广义油水两相流时,将压力振荡的几种处理方法整合在一起,以解决这一问题。这些处理方法是(1) 在连续性方程中加入修正的扩散项,用密度增量代替原来的密度;(2) 修正的密度重初始化,在实施过程中必须将不同相流体粒子转换为假想的同相粒子;(3) 粒子移动技术,使粒子分布更均匀。通过对几个广义油水两相流问题的模拟以及与参考解的比较,验证了我们的新 SPH 方案稳定、精确、耗散少,并能避免颗粒在界面附近穿透。最后,设计并模拟了一个新的、更复杂的广义油水两相流问题,以进一步证明我们的 SPH 方案的上述优点。
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来源期刊
Computational Particle Mechanics
Computational Particle Mechanics Mathematics-Computational Mathematics
CiteScore
5.70
自引率
9.10%
发文量
75
期刊介绍: GENERAL OBJECTIVES: Computational Particle Mechanics (CPM) is a quarterly journal with the goal of publishing full-length original articles addressing the modeling and simulation of systems involving particles and particle methods. The goal is to enhance communication among researchers in the applied sciences who use "particles'''' in one form or another in their research. SPECIFIC OBJECTIVES: Particle-based materials and numerical methods have become wide-spread in the natural and applied sciences, engineering, biology. The term "particle methods/mechanics'''' has now come to imply several different things to researchers in the 21st century, including: (a) Particles as a physical unit in granular media, particulate flows, plasmas, swarms, etc., (b) Particles representing material phases in continua at the meso-, micro-and nano-scale and (c) Particles as a discretization unit in continua and discontinua in numerical methods such as Discrete Element Methods (DEM), Particle Finite Element Methods (PFEM), Molecular Dynamics (MD), and Smoothed Particle Hydrodynamics (SPH), to name a few.
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