Smoothed Particle Hydrodynamics: A consistent model for interfacial multiphase fluid flow simulations

JOURNAL OF COMPUTATIONAL PHYSICS

卷:358

Article

Krimi, Abdelkader^1,2  Rezoug, Mehdi¹  Khelladi, Sofiane²  Nogueira, Xesus³  Deligant, Michael²  Ramirez, Luis³ 

[1] Ecole Speciale Travaux Publ, Inst Rech Constructibilite, 28 Ave President Wilson, F-94230 Cachan, France

[2] Arts & Metiers ParisTech, DynFluid Lab, 151 Blvd Hop, F-75013 Paris, France

[3] Univ A Coruna, Grp Numer Methods Engn, Campus Elvina, La Coruna 15071, Spain

关键词: Smoothed Particle Hydrodynamics;    Multiphase fluid flow;    Interfacial fluid flow;    Surface tension formulation;    High density and viscosity ratio;   

DOI  :  10.1016/j.jcp.2017.12.006

来源: Elsevier

【 摘 要 】

In this work, a consistent Smoothed Particle Hydrodynamics (SPH) model to deal with interfacial multiphase fluid flows simulation is proposed. A modification to the Continuum Stress Surface formulation (CSS) [1] to enhance the stability near the fluid interface is developed in the framework of the SPH method. A non-conservative first-order consistency operator is used to compute the divergence of stress surface tensor. This formulation benefits of all the advantages of the one proposed by Adami et al.[2] and, in addition, it can be applied to more than two phases fluid flow simulations. Moreover, the generalized wall boundary conditions [3] are modified in order to be well adapted to multiphase fluid flows with different density and viscosity. In order to allow the application of this technique to wall-bounded multiphase flows, a modification of generalized wall boundary conditions is presented here for using the SPH method. In this work we also present a particle redistribution strategy as an extension of the damping technique presented in [3] to smooth the initial transient phase of gravitational multiphase fluid flow simulations. Several computational tests are investigated to show the accuracy, convergence and applicability of the proposed SPH interfacial multiphase model. (C) 2017 Elsevier Inc. All rights reserved.

【 授权许可】

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