Filament capturing with the Multimaterial Moment-of-Fluid method

JOURNAL OF COMPUTATIONAL PHYSICS

卷:285

Article

Jemison, Matthew¹  Sussman, Mark¹  Shashkov, Mikhail² 

[1] Florida State Univ, Dept Appl & Computat Math, Tallahassee, FL 32306 USA

[2] Los Alamos Natl Lab, X Computat Phys Div, Los Alamos, NM USA

关键词: Interface reconstruction;    Moving boundary problem;    Moment-of-Fluid method;    Filament capturing;   

DOI  :  10.1016/j.jcp.2015.01.014

来源: Elsevier

【 摘 要 】

A novel method for capturing two-dimensional, thin, under-resolved material configurations, known as filaments, is presented in the context of interface reconstruction. This technique uses a partitioning procedure to detect disconnected regions of material in the advective preimage of a cell (indicative of a filament) and makes use of the existing functionality of the Multimaterial Moment-of-Fluid interface reconstruction method to accurately capture the under-resolved feature, while exactly conserving volume. An algorithm for Adaptive Mesh Refinement in the presence of filaments is developed so that refinement is introduced only near the tips of filaments and where the Moment-of-Fluid reconstruction error is still large. Comparison to the standard Moment-of-Fluid method is made. It is demonstrated that using filament capturing at a given resolution yields gains in accuracy comparable to introducing an additional level of mesh refinement at significantly lower cost. (C) 2015 Elsevier Inc. All rights reserved.

【 授权许可】

Free