A Two-Dimensional Second Order Conservative Front-Tracking Method with an Original Marker Advection Approach Based on Jump Relations
Year: 2020
Author: Mathilde Tavares, Désir-André Koffi-Bi, Eric Chénier, Stéphane Vincent
Communications in Computational Physics, Vol. 27 (2020), Iss. 5 : pp. 1550–1589
Abstract
A two-dimensional front-tracking method is developed for handling complex shape interfaces satisfying the volume conservation. In order to validate the proposed front-tracking method, a complete convergence study is carried out on several
analytical test cases for which the interface is widely stretched and deformed. Comparisons to different existing approaches show that our front-tracking method is second
order accurate in space with lower errors than existing interface tracking techniques of
the literature.
We also propose an original marker advection method which takes into account the
jump relations valid at interface in order to deal with the contrast of physical properties
encountered in two-phase flow simulations. The conservative front-tracking method
computed in this work is shown to be able to describe interfaces with high accuracy
even for poorly resolved Eulerian grids.
You do not have full access to this article.
Already a Subscriber? Sign in as an individual or via your institution
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.4208/cicp.OA-2019-0028
Communications in Computational Physics, Vol. 27 (2020), Iss. 5 : pp. 1550–1589
Published online: 2020-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 40
Keywords: Front-tracking marker velocity reconstruction based on jump relations multiphase flow volume conservation second order accuracy.
Author Details
-
A machine learning strategy for computing interface curvature in Front-Tracking methods
França, Hugo L. | Oishi, Cassio M.Journal of Computational Physics, Vol. 450 (2022), Iss. P.110860
https://doi.org/10.1016/j.jcp.2021.110860 [Citations: 5] -
Application of discrete mechanics model to jump conditions in two-phase flows
Caltagirone, Jean-Paul
Journal of Computational Physics, Vol. 432 (2021), Iss. P.110151
https://doi.org/10.1016/j.jcp.2021.110151 [Citations: 9]