An accurate and stable multiphase moving particle semi-implicit method based on a corrective matrix for all particle interaction models

Guangtao Duan*, Seiichi Koshizuka, Akifumi Yamaji, Bin Chen, Xin Li, Tasuku Tamai

*この研究の対応する著者

研究成果: Article査読

69 被引用数 (Scopus)

抄録

The Lagrangian moving particle semi-implicit (MPS) method has potential to simulate free-surface and multiphase flows. However, the chaotic distribution of particles can decrease accuracy and reliability in the conventional MPS method. In this study, a new Laplacian model is proposed by removing the errors associated with first-order partial derivatives based on a corrected matrix. Therefore, a corrective matrix is applied to all the MPS discretization models to enhance computational accuracy. Then, the developed corrected models are coupled into our previous multiphase MPS methods. Separate stabilizing strategies are developed for internal and free-surface particles. Specifically, particle shifting is applied to internal particles. Meanwhile, a conservative pressure gradient model and a modified optimized particle shifting scheme are applied to free-surface particles to produce the required adjustments in surface normal and tangent directions, respectively. The simulations of a multifluid pressure oscillation flow and a bubble rising flow demonstrate the accuracy improvements of the corrective matrix. The elliptical drop deformation demonstrates the stability/accuracy improvement of the present stabilizing strategies at free surface. Finally, a turbulent multiphase flow with complicated interface fragmentation and coalescence is simulated to demonstrate the capability of the developed method.

本文言語English
ページ(範囲)1287-1314
ページ数28
ジャーナルInternational Journal for Numerical Methods in Engineering
115
10
DOI
出版ステータスPublished - 2018 9月 7

ASJC Scopus subject areas

  • 数値解析
  • 工学(全般)
  • 応用数学

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