4.6 Article

A High-Order Maximum-Principle-Satisfying Discontinuous Galerkin Method for the Level Set Problem

期刊

JOURNAL OF SCIENTIFIC COMPUTING
卷 87, 期 2, 页码 -

出版社

SPRINGER/PLENUM PUBLISHERS
DOI: 10.1007/s10915-021-01459-2

关键词

Maximum principle; Discontinuous Galerkin method; Level set method; Incompressible two-phase flows

资金

  1. National Natural Science Foundation of China [12001020]
  2. China Postdoctoral Science Foundation [2020M680176]

向作者/读者索取更多资源

This study proposes a high-order discontinuous Galerkin method to directly solve the advection equation for the LS function in non-conservative form. By applying a linear scaling limiter and a strong stability preserving time discretization scheme, it ensures the strict maximum principle under a suitable CFL condition.
Level set (LS) method is a widely used interface capturing method. In the simulations of incompressible two-phase flows, in order to avoid discontinuities at interfaces, the LS function is usually taken as a smeared-out Heaviside function bounded on [0, 1] and advected by a given velocity field u obtained from the solution of the incompressible Navier-Stokes equations. In the incompressible limit del.u=0, the advection equation for the LS function can be written and discretized in conservative form. However, due to numerical errors, the resulting velocity field is in general not divergence free which leads to the solution of the advection equation in conservative form does not satisfy the maximum principle. To overcome this issue, in this work, we develop a high-order discontinuous Galerkin (DG) method to directly solve the advection equation for the LS function in non-conservative form. Moreover, we prove that by applying a linear scaling limiter, the proposed method together with a strong stability preserving (SSP) time discretization scheme can satisfy the strict maximum principle under a suitable CFL condition. Numerical simulations of several well-known benchmark problems, including the application to incompressible two-phase flows, are presented to demonstrate the high-order accuracy and maximum-principle-satisfying property of the proposed method.

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