Ghost-Fluid-Based Sharp Interface Methods for Multi-Material Dynamics: A Review

Ghost-Fluid-Based Sharp Interface Methods for Multi-Material Dynamics: A Review

Year:    2023

Author:    Liang Xu, Tiegang Liu

Communications in Computational Physics, Vol. 34 (2023), Iss. 3 : pp. 563–612

Abstract

The ghost fluid method (GFM) provides a simple way to simulate the interaction of immiscible materials. Especially, the modified GFM (MGFM) and its variants, based on the solutions of multi-material Riemann problems, are capable of faithfully taking into account the effects of nonlinear wave interaction and material property near the interface. Reasonable treatments for ghost fluid states or interface conditions have been shown to be crucial when applied to various interfacial phenomena involving large discontinuity and strong nonlinearity. These methods, therefore, have great potential in engineering applications. In this paper, we review the development of such methods. The methodologies of representative GFM-based algorithms for definition of interface conditions are illustrated and compared to each other. The research progresses in design principle and accuracy analysis are briefly described. Some steps and techniques for multi-dimensional extension are also summarized. In addition, we present some progresses in more challenging scientific problems, including a variety of fluid/solid-fluid/solid interactions with complex physical properties. Of course the challenges faced by researchers in this field are also discussed.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/cicp.RE-2022-0189

Communications in Computational Physics, Vol. 34 (2023), Iss. 3 : pp. 563–612

Published online:    2023-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    50

Keywords:    Multi-material flows sharp-interface method ghost fluid method modified ghost fluid method fluid-solid interaction multi-material Riemann problem.

Author Details

Liang Xu

Tiegang Liu