Stable multiphase moving particle semi-implicit method for incompressible interfacial flow

Guangtao Duan, Bin Chen*, Seiichi Koshizuka, Hao Xiang

*この研究の対応する著者

研究成果: Article査読

56 被引用数 (Scopus)

抄録

The moving particle semi-implicit (MPS) method is extended into a multiphase MPS (MMPS) method, where multiphase fluids are modeled as a multi-viscosity and multi-density fluid. Interparticle viscosity and density are adopted to model the interaction between particles of different phases. However, such a straightforward extension is prone to instability because the light particles at the interface suffer from exceptionally high acceleration. Therefore, two approaches, MMPS-HD (harmonic density) and MMPS-CA (continuous acceleration), are proposed to suppress the instability. In the first approach, harmonic mean interparticle density is applied to discretize the multiphase pressure Poisson equation to avoid the exceptionally high acceleration at the interface. In the second approach, new MMPS formulations are derived from the locally weighted average of interaction acceleration between particles to guarantee the continuity of acceleration and velocity. The particle stabilizing term (PST) is then decoupled from the original pressure gradient model and adopts the single-phase formulation to guarantee stability. The developed multi-viscosity and -density models are verified using the multi-fluid Poiseuille flow and Rayleigh–Taylor instability, respectively. Furthermore, two benchmark cases of rising bubbles in 2D and 3D with a wide range of density and viscosity ratios are simulated to demonstrate the capability and robustness of the proposed methods in complex multiphase flows. The proposed method can produce stable and reliable results up to a high density ratio of approximately 1000 and viscosity ratio of approximately 100.

本文言語English
ページ(範囲)636-666
ページ数31
ジャーナルComputer Methods in Applied Mechanics and Engineering
318
DOI
出版ステータスPublished - 2017 5 1
外部発表はい

ASJC Scopus subject areas

  • 計算力学
  • 材料力学
  • 機械工学
  • 物理学および天文学(全般)
  • コンピュータ サイエンスの応用

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