Back to Search Start Over

A monolithic conservative level set method with built-in redistancing

Authors :
Christopher E. Kees
Manuel Quezada de Luna
Dmitri Kuzmin
Source :
Journal of Computational Physics. 379:262-278
Publication Year :
2019
Publisher :
Elsevier BV, 2019.

Abstract

We introduce a new level set method for representing evolving interfaces. In the case of divergence-free velocity fields, the new method satisfies a conservation principle. Conservation is important for many applications such as modeling two-phase incompressible flow. In the present implementation, the conserved quantity is defined as the integral of a smoothed characteristic function. The new approach embeds level sets into a volume of fluid formulation. The evolution of an approximate signed distance function is governed by a conservation law for its (smoothed) sign. The non-linear level set transport equation is regularized by adding a flux correction term that assures a non-singular Jacobian and penalizes deviations from a distance function. The result is a locally conservative level set method with built-in elliptic redistancing. The continuous model is monolithic in the sense that the level set transport model, the volume of fluid law of mass conservation, and the minimization problem that preserves the approximate distance function property are incorporated into a single equation. There is no need for any extra stabilization, artificial compression, flux limiting, redistancing, mass correction, and other numerical fixes which are commonly used in level set or volume of fluid methods. In addition, there is just one free parameter that controls the strength of regularization and penalization in the model. The accuracy and conservation properties of the monolithic finite element / level set method are illustrated by the results of numerical studies for passive advection of free interfaces.<br />Ergebnisberichte des Instituts für Angewandte Mathematik;586

Details

ISSN :
00219991
Volume :
379
Database :
OpenAIRE
Journal :
Journal of Computational Physics
Accession number :
edsair.doi.dedup.....d1c5602502d14b31b49c9d2a8c9882af