PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
November 26, 2018International Journal for Numerical Methods in Fluids78 citations

A moving discontinuous Galerkin finite element method for flows with interfaces

View Full Paper
ACAndrew T. CorriganAKAndrew D. KercherDKDavid A. Kessler

Key Points

Key points are not available for this paper at this time.

Abstract

Summary A moving discontinuous Galerkin finite element method with interface condition enforcement is formulated for flows with discontinuous interfaces. The underlying weak formulation enforces the interface condition separately from the conservation law, so that the residual only vanishes upon satisfaction of both. In this formulation, the discrete grid geometry is treated as a variable, so that, in contrast to the standard discontinuous Galerkin method, this method has both the means to detect interfaces, via interface condition enforcement, and to satisfy, via grid movement, the conservation law and its associated interface condition. The method therefore directly fits interfaces, including shocks, preserving a high‐order representation up to the interface without requiring shock capturing or an upwind numerical flux to achieve stability. It can be generalized to flows with a priori unknown interfaces with nontrivial topology and curved interface geometry as well as to an arbitrary number of spatial dimensions. Unsteady flows are represented in a manner similar to steady flows using a space‐time formulation. In addition to computing flows with interfaces, the method can represent point singularities in a flow field by degenerating cuboid elements. In general, the method works in conjunction with standard local grid operations, including edge collapse, to ensure that degenerate cells are removed. Test cases are presented for up to three‐dimensional flows that provide an initial assessment of the stability and accuracy of the method.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Corrigan et al. (2018) studied this question.

synapsesocial.com/papers/69d83a9e61e2ce1627d18fd3https://doi.org/10.1002/fld.4697
Ask AI
Helpful
Bookmark
Share
View Full Paper