Variationally derived interface stabilization for discrete multiphase flows and relation with the ghost-penalty method

Lixing Zhu, Arif Masud

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents an interface stabilized method for moving and deforming interface problems in immiscible, discrete, multi-phase flows. The evolution of the interface is represented in the momentum balance equations written in an Eulerian frame via the dependence of the local value of density and viscosity of the fluids on the spatial location of the interphase boundary. The motion of the interface is tracked via a hyperbolic equation that is driven by the velocity field furnished by the Navier–Stokes equations. Zero contour of the level set field marks the boundary which is permitted to traverse through the elements. The jump in viscosity and density of the fluids across the arbitrarily deforming phase boundaries can trigger numerical instabilities in the solution. A main contribution in this work is the mathematical analysis of interface stabilization terms that appear naturally when the Variational Multiscale (VMS) method is applied to the coupled system of partial differential equations (PDEs). Two specific forms are developed: full gradient form in Rnsd over subdomain ΩI around the embedded interface, and a reduced form in Rnsd−1 for face stabilization at the embedded interface ΓI. Benchmark problems in 2D and 3D are presented to highlight the salient features of the proposed interface stabilization method and to show its range of application.

Original languageEnglish (US)
Article number113404
JournalComputer Methods in Applied Mechanics and Engineering
Volume373
DOIs
StatePublished - Jan 1 2021

Keywords

  • Cut FEM method
  • Ghost Penalty method
  • Interface modeling
  • Level-set equation
  • Stabilized method
  • Variational Multiscale method

ASJC Scopus subject areas

  • Computational Mechanics
  • Mechanics of Materials
  • Mechanical Engineering
  • Physics and Astronomy(all)
  • Computer Science Applications

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